Table of Contents
ScyllaDB
Return to ScyllaDB in Action by Bo Ingram, Database Development, Database Developer, ScyllaDB Glossary, ScyllaDB Topics
Definition
Overview
ScyllaDB is an open-source, distributed NoSQL database that is designed to provide high performance and low latency. It is compatible with the Apache Cassandra database, offering similar features but with significant performance improvements. ScyllaDB achieves this through its architecture, which is built on the C++ programming language, allowing for better control over system resources and more efficient use of CPU and memory. The database is designed to handle large-scale data with minimal operational complexity, making it suitable for real-time applications, analytics, and other data-intensive tasks.
Key Features
ScyllaDB offers several key features that distinguish it from other NoSQL databases. It includes a shard-per-core architecture, which assigns each CPU core its own dedicated shard, reducing contention and improving performance. The database also supports automatic workload balancing, self-tuning, and I/O scheduling to optimize performance and resource utilization. Additionally, ScyllaDB provides compatibility with the Cassandra Query Language (CQL), making it easier for developers to migrate from Cassandra. Its robust architecture and high performance make ScyllaDB a popular choice for organizations needing reliable and scalable database solutions. For more information, you can visit https://www.scylladb.com/ and https://en.wikipedia.org/wiki/ScyllaDB.
- Snippet from Wikipedia: ScyllaDB
ScyllaDB is a source-available distributed NoSQL wide-column data store. It was designed to be compatible with Apache Cassandra while achieving significantly higher throughputs and lower latencies. It supports the same protocols as Cassandra (CQL) and the same file formats (SSTable), but is a completely rewritten implementation, using the C++20 language replacing Cassandra's Java, and the Seastar asynchronous programming library replacing classic Linux programming techniques such as threads, shared memory and mapped files. In addition to implementing Cassandra's protocols, ScyllaDB also implements the Amazon DynamoDB API.
ScyllaDB uses a sharded design on each node, meaning that each CPU core handles a different subset of data. Cores do not share data, but rather communicate explicitly when they need to. The ScyllaDB authors claim that this design allows ScyllaDB to achieve much better performance on modern NUMA SMP machines, and to scale very well with the number of cores. They have measured as much as 2 million requests per second on a single machine, and also claim that a ScyllaDB cluster can serve as many requests as a Cassandra cluster 10 times its size – and do so with lower latencies. Independent testing has not always been able to confirm such 10-fold throughput improvements, and sometimes measured smaller speedups, such as 2x. A 2017 benchmark from Samsung observed the 10x speedup on high-end machines – the Samsung benchmark reported that ScyllaDB outperformed Cassandra on a cluster of 24-core machines by a margin of 10–37x depending on the YCSB workload.
ScyllaDB is available on-premises, on major public cloud providers, or as a DBaaS (ScyllaDB Cloud).
Detailed Summary
Summarize this topic in 20 paragraphs. Give code examples. Mention its date of invention/creation and inventor/creator, date of introduction/founding. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
- Snippet from Wikipedia: ScyllaDB
ScyllaDB is a source-available distributed NoSQL wide-column data store. It was designed to be compatible with Apache Cassandra while achieving significantly higher throughputs and lower latencies. It supports the same protocols as Cassandra (CQL) and the same file formats (SSTable), but is a completely rewritten implementation, using the C++20 language replacing Cassandra's Java, and the Seastar asynchronous programming library replacing classic Linux programming techniques such as threads, shared memory and mapped files. In addition to implementing Cassandra's protocols, ScyllaDB also implements the Amazon DynamoDB API.
ScyllaDB uses a sharded design on each node, meaning that each CPU core handles a different subset of data. Cores do not share data, but rather communicate explicitly when they need to. The ScyllaDB authors claim that this design allows ScyllaDB to achieve much better performance on modern NUMA SMP machines, and to scale very well with the number of cores. They have measured as much as 2 million requests per second on a single machine, and also claim that a ScyllaDB cluster can serve as many requests as a Cassandra cluster 10 times its size – and do so with lower latencies. Independent testing has not always been able to confirm such 10-fold throughput improvements, and sometimes measured smaller speedups, such as 2x. A 2017 benchmark from Samsung observed the 10x speedup on high-end machines – the Samsung benchmark reported that ScyllaDB outperformed Cassandra on a cluster of 24-core machines by a margin of 10–37x depending on the YCSB workload.
ScyllaDB is available on-premises, on major public cloud providers, or as a DBaaS (ScyllaDB Cloud).
Detailed Summary
Summarize this topic in 20 paragraphs. Give code examples. Mention its date of invention/creation and inventor/creator, date of introduction/founding. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB Alternatives
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Summarize the alternatives to ScyllaDB in 14 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
Fair Use Sources
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(navbar_scylladb - see also navbar_database, navbar_cassandra, navbar_database)
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ScyllaDB Best Practices
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Summarize this topic in 25 paragraphs. Give code examples. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
Fair Use Sources
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Best Practices: ChatGPT Best Practices, DevOps Best Practices, IaC Best Practices, GitOps Best Practices, Cloud Native Best Practices, Programming Best Practices (1. Python Best Practices | Python - Django Best Practices | Django - Flask Best Practices | Flask - - Pandas Best Practices | Pandas, 2. JavaScript Best Practices | JavaScript - HTML Best Practices | HTML - CSS Best Practices | CSS - React Best Practices | React - Next.js Best Practices | Next.js - Node.js Best Practices | Node.js - NPM Best Practices | NPM - Express.js Best Practices | Express.js - Deno Best Practices | Deno - Babel Best Practices | Babel - Vue.js Best Practices | Vue.js, 3. Java Best Practices | Java - JVM Best Practices | JVM - Spring Boot Best Practices | Spring Boot - Quarkus Best Practices | Quarkus, 4. C Sharp Best Practices | C - dot NET Best Practices | dot NET, 5. CPP Best Practices | C++, 6. PHP Best Practices | PHP - Laravel Best Practices | Laravel, 7. TypeScript Best Practices | TypeScript - Angular Best Practices | Angular, 8. Ruby Best Practices | Ruby - Ruby on Rails Best Practices | Ruby on Rails, 9. C Best Practices | C, 10. Swift Best Practices | Swift, 11. R Best Practices | R, 12. Objective-C Best Practices | Objective-C, 13. Scala Best Practices | Scala - Z Best Practices | Z, 14. Golang Best Practices | Go - Gin Best Practices | Gin, 15. Kotlin Best Practices | Kotlin - Ktor Best Practices | Ktor, 16. Rust Best Practices | Rust - Rocket Framework Best Practices | Rocket Framework, 17. Dart Best Practices | Dart - Flutter Best Practices | Flutter, 18. Lua Best Practices | Lua, 19. Perl Best Practices | Perl, 20. Haskell Best Practices | Haskell, 21. Julia Best Practices | Julia, 22. Clojure Best Practices | Clojure, 23. Elixir Best Practices | Elixir - Phoenix Framework Best Practices | Phoenix Framework, 24. F Sharp | Best Practices | F, 25. Assembly Best Practices | Assembly, 26. bash Best Practices | bash, 27. SQL Best Practices | SQL, 28. Groovy Best Practices | Groovy, 29. PowerShell Best Practices | PowerShell, 30. MATLAB Best Practices | MATLAB, 31. VBA Best Practices | VBA, 32. Racket Best Practices | Racket, 33. Scheme Best Practices | Scheme, 34. Prolog Best Practices | Prolog, 35. Erlang Best Practices | Erlang, 36. Ada Best Practices | Ada, 37. Fortran Best Practices | Fortran, 38. COBOL Best Practices | COBOL, 39. VB.NET Best Practices | VB.NET, 40. Lisp Best Practices | Lisp, 41. SAS Best Practices | SAS, 42. D Best Practices | D, 43. LabVIEW Best Practices | LabVIEW, 44. PL/SQL Best Practices | PL/SQL, 45. Delphi/Object Pascal Best Practices | Delphi/Object Pascal, 46. ColdFusion Best Practices | ColdFusion, 47. CLIST Best Practices | CLIST, 48. REXX Best Practices | REXX. Old Programming Languages: APL Best Practices | APL, Pascal Best Practices | Pascal, Algol Best Practices | Algol, PL/I Best Practices | PL/I); Programming Style Guides, Clean Code, Pragmatic Programmer, Git Best Practices, Continuous Integration CI Best Practices, Continuous Delivery CD Best Practices, Continuous Deployment Best Practices, Code Health Best Practices, Refactoring Best Practices, Database Best Practices, Dependency Management Best Practices (The most important task of a programmer is dependency management! - see latest Manning book MEAP, also Dependency Injection Principles, Practices, and Patterns), Continuous Testing and TDD Best Practices, Pentesting Best Practices, Team Best Practices, Agile Best Practices, Meetings Best Practices, Communications Best Practices, Work Space Best Practices, Remote Work Best Practices, Networking Best Practices, Life Best Practices, Agile Manifesto, Zen of Python, Clean Code, Pragmatic Programmer. (navbar_best_practices - see also navbar_anti-patterns)
Full-Stack Web Development: JavaScript, HTML5, CSS3, React, Node.js, Angular, Vue.js, Python, Django, Java, Spring Boot, Ruby on Rails, PHP, Laravel, SQL, MySQL, PostgreSQL, MongoDB, Git, RESTful APIs, GraphQL, Docker, TypeScript, AWS, Google Cloud Platform, Azure, Express.js, Redux, Webpack, Babel, NPM, Yarn, Jenkins, CI/CD Pipelines, Kubernetes, Bootstrap, SASS, LESS, Material-UI, Flask, Firebase, Serverless Architecture, Microservices, MVC Architecture, Socket.IO, JWT, OAuth, JQuery, Containerization, Heroku, Selenium, Cypress, Mocha, Chai, Jest, ESLint, Prettier, Tailwind CSS, Ant Design, Vuetify, Next.js, Nuxt.js, Gatsby, Apollo GraphQL, Strapi, KeystoneJS, Prisma, Figma, Sketch, Adobe XD, Axios, Razor Pages, Blazor, ASP.NET Core, Entity Framework, Hibernate, Swagger, Postman, GraphQL Apollo Server, Electron, Ionic, React Native, VueX, React Router, Redux-Saga, Redux-Thunk, MobX, RxJS, Three.js, Chart.js, D3.js, Moment.js, Lodash, Underscore.js, Handlebars.js, Pug, EJS, Thymeleaf, BuiltWith.com, Popular Web Frameworks, Popular JavaScript Libraries, Awesome Full-Stack. (navbar_full_stack - see also navbar_javascript, navbar_node.js, navbar_typescript)
ScyllaDB Anti-Patterns
Return to ScyllaDB, Anti-Patterns, ScyllaDB Best Practices, ScyllaDB Security, ScyllaDB and the OWASP Top 10
Summarize this topic in 20 paragraphs. Give code examples. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
Fair Use Sources
- ScyllaDB for Archive Access for Fair Use Preservation, quoting, paraphrasing, excerpting and/or commenting upon
Anti-Patterns: ChatGPT Anti-Patterns, DevOps Anti-Patterns, IaC Anti-Patterns, GitOps Anti-Patterns, Cloud Native Anti-Patterns, Programming Anti-Patterns (1. Python Anti-Patterns | Python - Django Anti-Patterns | Django - Flask Anti-Patterns | Flask - - Pandas Anti-Patterns | Pandas, 2. JavaScript Anti-Patterns | JavaScript - HTML Anti-Patterns | HTML - CSS Anti-Patterns | CSS - React Anti-Patterns | React - Next.js Anti-Patterns | Next.js - Node.js Anti-Patterns | Node.js - NPM Anti-Patterns | NPM - Express.js Anti-Patterns | Express.js - Deno Anti-Patterns | Deno - Babel Anti-Patterns | Babel - Vue.js Anti-Patterns | Vue.js, 3. Java Anti-Patterns | Java - JVM Anti-Patterns | JVM - Spring Boot Anti-Patterns | Spring Boot - Quarkus Anti-Patterns | Quarkus, 4. C Sharp Anti-Patterns | C - dot NET Anti-Patterns | dot NET, 5. CPP Anti-Patterns | C++, 6. PHP Anti-Patterns | PHP - Laravel Anti-Patterns | Laravel, 7. TypeScript Anti-Patterns | TypeScript - Angular Anti-Patterns | Angular, 8. Ruby Anti-Patterns | Ruby - Ruby on Rails Anti-Patterns | Ruby on Rails, 9. C Anti-Patterns | C, 10. Swift Anti-Patterns | Swift, 11. R Anti-Patterns | R, 12. Objective-C Anti-Patterns | Objective-C, 13. Scala Anti-Patterns | Scala - Z Anti-Patterns | Z, 14. Golang Anti-Patterns | Go - Gin Anti-Patterns | Gin, 15. Kotlin Anti-Patterns | Kotlin - Ktor Anti-Patterns | Ktor, 16. Rust Anti-Patterns | Rust - Rocket Framework Anti-Patterns | Rocket Framework, 17. Dart Anti-Patterns | Dart - Flutter Anti-Patterns | Flutter, 18. Lua Anti-Patterns | Lua, 19. Perl Anti-Patterns | Perl, 20. Haskell Anti-Patterns | Haskell, 21. Julia Anti-Patterns | Julia, 22. Clojure Anti-Patterns | Clojure, 23. Elixir Anti-Patterns | Elixir - Phoenix Framework Anti-Patterns | Phoenix Framework, 24. F Sharp | Anti-Patterns | F, 25. Assembly Anti-Patterns | Assembly, 26. bash Anti-Patterns | bash, 27. SQL Anti-Patterns | SQL, 28. Groovy Anti-Patterns | Groovy, 29. PowerShell Anti-Patterns | PowerShell, 30. MATLAB Anti-Patterns | MATLAB, 31. VBA Anti-Patterns | VBA, 32. Racket Anti-Patterns | Racket, 33. Scheme Anti-Patterns | Scheme, 34. Prolog Anti-Patterns | Prolog, 35. Erlang Anti-Patterns | Erlang, 36. Ada Anti-Patterns | Ada, 37. Fortran Anti-Patterns | Fortran, 38. COBOL Anti-Patterns | COBOL, 39. VB.NET Anti-Patterns | VB.NET, 40. Lisp Anti-Patterns | Lisp, 41. SAS Anti-Patterns | SAS, 42. D Anti-Patterns | D, 43. LabVIEW Anti-Patterns | LabVIEW, 44. PL/SQL Anti-Patterns | PL/SQL, 45. Delphi/Object Pascal Anti-Patterns | Delphi/Object Pascal, 46. ColdFusion Anti-Patterns | ColdFusion, 47. CLIST Anti-Patterns | CLIST, 48. REXX Anti-Patterns | REXX. Old Programming Languages: APL Anti-Patterns | APL, Pascal Anti-Patterns | Pascal, Algol Anti-Patterns | Algol, PL/I Anti-Patterns | PL/I); Programming Style Guides, Clean Code, Pragmatic Programmer, Git Anti-Patterns, Continuous Integration CI Anti-Patterns, Continuous Delivery CD Anti-Patterns, Continuous Deployment Anti-Patterns, Code Health Anti-Patterns, Refactoring Anti-Patterns, Database Anti-Patterns, Dependency Management Anti-Patterns (The most important task of a programmer is dependency management! - see latest Manning book MEAP, also Dependency Injection Principles, Practices, and Patterns), Continuous Testing and TDD Anti-Patterns, Pentesting Anti-Patterns, Team Anti-Patterns, Agile Anti-Patterns, Meetings Anti-Patterns, Communications Anti-Patterns, Work Space Anti-Patterns, Remote Work Anti-Patterns, Networking Anti-Patterns, Life Anti-Patterns, Agile Manifesto, Zen of Python, Clean Code, Pragmatic Programmer. (navbar_anti-patterns - see also navbar_best_practices)
ScyllaDB Security
See: ScyllaDB Security
Return to ScyllaDB, Security, ScyllaDB Authorization with OAuth, ScyllaDB and JWT Tokens, ScyllaDB and the OWASP Top 10
Summarize this topic in 20 paragraphs. Give code examples. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
Fair Use Sources
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Access Control, Access Control List, Access Management, Account Lockout, Account Takeover, Active Defense, Active Directory Security, Active Scanning, Advanced Encryption Standard, Advanced Persistent Threat, Adversarial Machine Learning, Adware, Air Gap, Algorithmic Security, Anomaly Detection, Anti-Malware, Antivirus Software, Anti-Spyware, Application Blacklisting, Application Layer Security, Application Security, Application Whitelisting, Arbitrary Code Execution, Artificial Intelligence Security, Asset Discovery, Asset Management, Asymmetric Encryption, Asymmetric Key Cryptography, Attack Chain, Attack Simulation, Attack Surface, Attack Vector, Attribute-Based Access Control, Audit Logging, Audit Trail, Authentication, Authentication Protocol, Authentication Token, Authorization, Automated Threat Detection, AutoRun Malware, Backdoor, Backup and Recovery, Baseline Configuration, Behavioral Analysis, Behavioral Biometrics, Behavioral Monitoring, Biometric Authentication, Black Hat Hacker, Black Hat Hacking, Blacklisting, Blockchain Security, Blue Team, Boot Sector Virus, Botnet, Botnet Detection, Boundary Protection, Brute Force Attack, Brute Force Protection, Buffer Overflow, Buffer Overflow Attack, Bug Bounty Program, Business Continuity Plan, Business Email Compromise, BYOD Security, Cache Poisoning, CAPTCHA Security, Certificate Authority, Certificate Pinning, Chain of Custody, Challenge-Response Authentication, Challenge-Handshake Authentication Protocol, Chief Information Security Officer, Cipher Block Chaining, Cipher Suite, Ciphertext, Circuit-Level Gateway, Clickjacking, Cloud Access Security Broker, Cloud Encryption, Cloud Security, Cloud Security Alliance, Cloud Security Posture Management, Code Injection, Code Review, Code Signing, Cold Boot Attack, Command Injection, Common Vulnerabilities and Exposures, Common Vulnerability Scoring System, Compromised Account, Computer Emergency Response Team, Computer Forensics, Computer Security Incident Response Team, Confidentiality, Confidentiality Agreement, Configuration Baseline, Configuration Management, Content Filtering, Continuous Monitoring, Cross-Site Request Forgery, Cross-Site Request Forgery Protection, Cross-Site Scripting, Cross-Site Scripting Protection, Cross-Platform Malware, Cryptanalysis, Cryptanalysis Attack, Cryptographic Algorithm, Cryptographic Hash Function, Cryptographic Key, Cryptography, Cryptojacking, Cyber Attack, Cyber Deception, Cyber Defense, Cyber Espionage, Cyber Hygiene, Cyber Insurance, Cyber Kill Chain, Cyber Resilience, Cyber Terrorism, Cyber Threat, Cyber Threat Intelligence, Cyber Threat Intelligence Sharing, Cyber Warfare, Cybersecurity, Cybersecurity Awareness, Cybersecurity Awareness Training, Cybersecurity Compliance, Cybersecurity Framework, Cybersecurity Incident, Cybersecurity Incident Response, Cybersecurity Insurance, Cybersecurity Maturity Model, Cybersecurity Policy, Cybersecurity Risk, Cybersecurity Risk Assessment, Cybersecurity Strategy, Dark Web Monitoring, Data at Rest Encryption, Data Breach, Data Breach Notification, Data Classification, Data Encryption, Data Encryption Standard, Data Exfiltration, Data Governance, Data Integrity, Data Leakage Prevention, Data Loss Prevention, Data Masking, Data Mining Attacks, Data Privacy, Data Protection, Data Retention Policy, Data Sanitization, Data Security, Data Wiping, Deauthentication Attack, Decryption, Decryption Key, Deep Packet Inspection, Defense in Depth, Defense-in-Depth Strategy, Deidentification, Demilitarized Zone, Denial of Service Attack, Denial-of-Service Attack, Device Fingerprinting, Dictionary Attack, Digital Certificate, Digital Certificate Management, Digital Forensics, Digital Forensics and Incident Response, Digital Rights Management, Digital Signature, Disaster Recovery, Disaster Recovery Plan, Distributed Denial of Service Attack, Distributed Denial-of-Service Attack, Distributed Denial-of-Service Mitigation, DNS Amplification Attack, DNS Poisoning, DNS Security Extensions, DNS Spoofing, Domain Hijacking, Domain Name System Security, Drive Encryption, Drive-by Download, Dumpster Diving, Dynamic Analysis, Dynamic Code Analysis, Dynamic Data Exchange Exploits, Eavesdropping, Eavesdropping Attack, Edge Security, Email Encryption, Email Security, Email Spoofing, Embedded Systems Security, Employee Awareness Training, Encapsulation Security Payload, Encryption, Encryption Algorithm, Encryption Key, Endpoint Detection and Response, Endpoint Protection Platform, Endpoint Security, Enterprise Mobility Management, Ethical Hacking, Ethical Hacking Techniques, Event Correlation, Event Logging, Exploit, Exploit Development, Exploit Framework, Exploit Kit, Exploit Prevention, Exposure, Extended Detection and Response, Extended Validation Certificate, External Threats, False Negative, False Positive, File Integrity Monitoring, File Transfer Protocol Security, Fileless Malware, Firmware Analysis, Firmware Security, Firewall, Firewall Rules, Forensic Analysis, Forensic Investigation, Formal Methods in Security, Formal Verification, Fraud Detection, Full Disk Encryption, Fuzz Testing, Fuzz Testing Techniques, Gateway Security, General Data Protection Regulation, General Data Protection Regulation Compliance, Governance Risk Compliance, Governance, Risk, and Compliance, Gray Hat Hacker, Gray Hat Hacking, Group Policy, Group Policy Management, Hacker, Hacking, Hardware Security Module, Hash Collision Attack, Hash Function, Hashing, Health Insurance Portability and Accountability Act, Health Insurance Portability and Accountability Act Compliance, Heartbleed Vulnerability, Heuristic Analysis, Heuristic Detection, High-Availability Clustering, Honeynet, Honeypot, Honeypot Detection, Host-Based Intrusion Detection System, Host Intrusion Prevention System, Host-Based Intrusion Prevention System, Hypervisor Security, Identity and Access Management, Identity Theft, Incident Handling, Incident Response, Incident Response Plan, Incident Response Team, Industrial Control Systems Security, Information Assurance, Information Security, Information Security Management System, Information Security Policy, Information Systems Security Engineering, Insider Threat, Integrity, Intellectual Property Theft, Interactive Application Security Testing, Internet of Things Security, Intrusion Detection System, Intrusion Prevention System, IP Spoofing, ISO 27001, IT Security Governance, Jailbreaking, JavaScript Injection, Juice Jacking, Key Escrow, Key Exchange, Key Management, Keylogger, Kill Chain, Knowledge-Based Authentication, Lateral Movement, Layered Security, Least Privilege, Lightweight Directory Access Protocol, Log Analysis, Log Management, Logic Bomb, Macro Virus, Malicious Code, Malicious Insider, Malicious Software, Malvertising, Malware, Malware Analysis, Man-in-the-Middle Attack, Mandatory Access Control, Mandatory Vacation Policy, Mass Assignment Vulnerability, Media Access Control Filtering, Message Authentication Code, Mobile Device Management, Multi-Factor Authentication, Multifunction Device Security, National Institute of Standards and Technology, Network Access Control, Network Security, Network Security Monitoring, Network Segmentation, Network Tap, Non-Repudiation, Obfuscation Techniques, Offensive Security, Open Authorization, Open Web Application Security Project, Operating System Hardening, Operational Technology Security, Packet Filtering, Packet Sniffing, Pass the Hash Attack, Password Cracking, Password Policy, Patch Management, Penetration Testing, Penetration Testing Execution Standard, Perfect Forward Secrecy, Peripheral Device Security, Pharming, Phishing, Physical Security, Piggybacking, Plaintext, Point-to-Point Encryption, Policy Enforcement, Polymorphic Malware, Port Knocking, Port Scanning, Post-Exploitation, Pretexting, Preventive Controls, Privacy Impact Assessment, Privacy Policy, Privilege Escalation, Privilege Management, Privileged Access Management, Procedure Masking, Proactive Threat Hunting, Protected Health Information, Protected Information, Protection Profile, Proxy Server, Public Key Cryptography, Public Key Infrastructure, Purple Teaming, Quantum Cryptography, Quantum Key Distribution, Ransomware, Ransomware Attack, Red Teaming, Redundant Array of Independent Disks, Remote Access, Remote Access Trojan, Remote Code Execution, Replay Attack, Reverse Engineering, Risk Analysis, Risk Assessment, Risk Management, Risk Mitigation, Role-Based Access Control, Root of Trust, Rootkit, Salami Attack, Sandbox, Sandboxing, Secure Coding, Secure File Transfer Protocol, Secure Hash Algorithm, Secure Multipurpose Internet Mail Extensions, Secure Shell Protocol, Secure Socket Layer, Secure Sockets Layer, Secure Software Development Life Cycle, Security Assertion Markup Language, Security Audit, Security Awareness Training, Security Breach, Security Controls, Security Event Management, Security Governance, Security Incident, Security Incident Response, Security Information and Event Management, Security Monitoring, Security Operations Center, Security Orchestration, Security Policy, Security Posture, Security Token, Security Vulnerability, Segmentation, Session Fixation, Session Hijacking, Shoulder Surfing, Signature-Based Detection, Single Sign-On, Skimming, Smishing, Sniffing, Social Engineering, Social Engineering Attack, Software Bill of Materials, Software Composition Analysis, Software Exploit, Software Security, Spear Phishing, Spoofing, Spyware, SQL Injection, Steganography, Supply Chain Attack, Supply Chain Security, Symmetric Encryption, Symmetric Key Cryptography, System Hardening, System Integrity, Tabletop Exercise, Tailgating, Threat Actor, Threat Assessment, Threat Hunting, Threat Intelligence, Threat Modeling, Ticket Granting Ticket, Time-Based One-Time Password, Tokenization, Traffic Analysis, Transport Layer Security, Transport Security Layer, Trapdoor, Trojan Horse, Two-Factor Authentication, Two-Person Control, Typosquatting, Unauthorized Access, Unified Threat Management, User Behavior Analytics, User Rights Management, Virtual Private Network, Virus, Vishing, Vulnerability, Vulnerability Assessment, Vulnerability Disclosure, Vulnerability Management, Vulnerability Scanning, Watering Hole Attack, Whaling, White Hat Hacker, White Hat Hacking, Whitelisting, Wi-Fi Protected Access, Wi-Fi Security, Wi-Fi Protected Setup, Worm, Zero-Day Exploit, Zero Trust Security, Zombie Computer
Cybersecurity: DevSecOps - Security Automation, Cloud Security - Cloud Native Security (AWS Security - Azure Security - GCP Security - IBM Cloud Security - Oracle Cloud Security, Container Security, Docker Security, Podman Security, Kubernetes Security, Google Anthos Security, Red Hat OpenShift Security); CIA Triad (Confidentiality - Integrity - Availability, Authorization - OAuth, Identity and Access Management (IAM), JVM Security (Java Security, Spring Security, Micronaut Security, Quarkus Security, Helidon Security, MicroProfile Security, Dropwizard Security, Vert.x Security, Play Framework Security, Akka Security, Ratpack Security, Netty Security, Spark Framework Security, Kotlin Security - Ktor Security, Scala Security, Clojure Security, Groovy Security;
, JavaScript Security, HTML Security, HTTP Security - HTTPS Security - SSL Security - TLS Security, CSS Security - Bootstrap Security - Tailwind Security, Web Storage API Security (localStorage Security, sessionStorage Security), Cookie Security, IndexedDB Security, TypeScript Security, Node.js Security, NPM Security, Deno Security, Express.js Security, React Security, Angular Security, Vue.js Security, Next.js Security, Remix.js Security, PWA Security, SPA Security, Svelts.js Security, Ionic Security, Web Components Security, Nuxt.js Security, Z Security, htmx Security
Python Security - Django Security - Flask Security - Pandas Security,
Database Security (Database Security on Kubernetes, Database Security on Containers / Database Security on Docker, Cloud Database Security - DBaaS Security, Concurrent Programming and Database Security, Functional Concurrent Programming and Database Security, Async Programming and Databases Security, MySQL Security, Oracle Database Security, Microsoft SQL Server Security, MongoDB Security, PostgreSQL Security, SQLite Security, Amazon RDS Security, IBM Db2 Security, MariaDB Security, Redis Security (Valkey Security), Cassandra Security, Amazon Aurora Security, Microsoft Azure SQL Database Security, Neo4j Security, Google Cloud SQL Security, Firebase Realtime Database Security, Apache HBase Security, Amazon DynamoDB Security, Couchbase Server Security, Elasticsearch Security, Teradata Database Security, Memcached Security, Infinispan Security, Amazon Redshift Security, SQLite Security, CouchDB Security, Apache Kafka Security, IBM Informix Security, SAP HANA Security, RethinkDB Security, InfluxDB Security, MarkLogic Security, ArangoDB Security, RavenDB Security, VoltDB Security, Apache Derby Security, Cosmos DB Security, Hive Security, Apache Flink Security, Google Bigtable Security, Hadoop Security, HP Vertica Security, Alibaba Cloud Table Store Security, InterSystems Caché Security, Greenplum Security, Apache Ignite Security, FoundationDB Security, Amazon Neptune Security, FaunaDB Security, QuestDB Security, Presto Security, TiDB Security, NuoDB Security, ScyllaDB Security, Percona Server for MySQL Security, Apache Phoenix Security, EventStoreDB Security, SingleStore Security, Aerospike Security, MonetDB Security, Google Cloud Spanner Security, SQream Security, GridDB Security, MaxDB Security, RocksDB Security, TiKV Security, Oracle NoSQL Database Security, Google Firestore Security, Druid Security, SAP IQ Security, Yellowbrick Data Security, InterSystems IRIS Security, InterBase Security, Kudu Security, eXtremeDB Security, OmniSci Security, Altibase Security, Google Cloud Bigtable Security, Amazon QLDB Security, Hypertable Security, ApsaraDB for Redis Security, Pivotal Greenplum Security, MapR Database Security, Informatica Security, Microsoft Access Security, Tarantool Security, Blazegraph Security, NeoDatis Security, FileMaker Security, ArangoDB Security, RavenDB Security, AllegroGraph Security, Alibaba Cloud ApsaraDB for PolarDB Security, DuckDB Security, Starcounter Security, EventStore Security, ObjectDB Security, Alibaba Cloud AnalyticDB for PostgreSQL Security, Akumuli Security, Google Cloud Datastore Security, Skytable Security, NCache Security, FaunaDB Security, OpenEdge Security, Amazon DocumentDB Security, HyperGraphDB Security, Citus Data Security, Objectivity/DB). Database drivers (JDBC Security, ODBC), ORM (Hibernate Security, Microsoft Entity Framework), SQL Operators and Functions Security, Database IDEs (JetBrains DataSpell Security, SQL Server Management Studio Security, MySQL Workbench Security, Oracle SQL Developer Security, SQLiteStudio),
Programming Language Security ((1. Python Security, 2. JavaScript Security, 3. Java Security, 4. C Sharp Security | Security, 5. CPP Security | C++ Security, 6. PHP Security, 7. TypeScript Security, 8. Ruby Security, 9. C Security, 10. Swift Security, 11. R Security, 12. Objective-C Security, 13. Scala Security, 14. Golang Security, 15. Kotlin Security, 16. Rust Security, 17. Dart Security, 18. Lua Security, 19. Perl Security, 20. Haskell Security, 21. Julia Security, 22. Clojure Security, 23. Elixir Security, 24. F Sharp Security | Security, 25. Assembly Language Security, 26. Shell Script Security / bash Security, 27. SQL Security, 28. Groovy Security, 29. PowerShell Security, 30. MATLAB Security, 31. VBA Security, 32. Racket Security, 33. Scheme Security, 34. Prolog Security, 35. Erlang Security, 36. Ada Security, 37. Fortran Security, 38. COBOL Security, 39. Lua Security, 40. VB.NET Security, 41. Lisp Security, 42. SAS Security, 43. D Security, 44. LabVIEW Security, 45. PL/SQL Security, 46. Delphi/Object Pascal Security, 47. ColdFusion Security, 49. CLIST Security, 50. REXX);
OS Security, Mobile Security: Android Security - Kotlin Security - Java Security, iOS Security - Swift Security; Windows Security - Windows Server Security, Linux Security (Ubuntu Security, Debian Security, RHEL Security, Fedora Security), UNIX Security (FreeBSD Security), IBM z Mainframe Security (RACF Security), Passwords (Windows Passwords, Linux Passwords, FreeBSD Passwords, Android Passwords, iOS Passwords, macOS Passwords, IBM z/OS Passwords), Password alternatives (Passwordless, Personal Access Token (PAT), GitHub Personal Access Token (PAT), Passkeys), Hacking (Ethical Hacking, White Hat, Black Hat, Grey Hat), Pentesting (Red Team - Blue Team - Purple Team), Cybersecurity Certifications (CEH, GIAC, CISM, CompTIA Security Plus, CISSP), Mitre Framework, Common Vulnerabilities and Exposures (CVE), Cybersecurity Bibliography, Cybersecurity Courses, Firewalls, CI/CD Security (GitHub Actions Security, Azure DevOps Security, Jenkins Security, Circle CI Security), Functional Programming and Cybersecurity, Cybersecurity and Concurrency, Cybersecurity and Data Science - Cybersecurity and Databases, Cybersecurity and Machine Learning, Cybersecurity Glossary (RFC 4949 Internet Security Glossary), Awesome Cybersecurity, Cybersecurity GitHub, Cybersecurity Topics (navbar_security - see also navbar_aws_security, navbar_azure_security, navbar_gcp_security, navbar_k8s_security, navbar_docker_security, navbar_podman_security, navbar_mainframe_security, navbar_ibm_cloud_security, navbar_oracle_cloud_security, navbar_database_security, navbar_windows_security, navbar_linux_security, navbar_macos_security, navbar_android_security, navbar_ios_security, navbar_os_security, navbar_firewalls, navbar_encryption, navbar_passwords, navbar_iam, navbar_pentesting, navbar_privacy, navbar_rfc)
ScyllaDB Authorization with OAuth
See: ScyllaDB Authorization with OAuth
Return to ScyllaDB, OAuth, ScyllaDB Security, Security, ScyllaDB and JWT Tokens, ScyllaDB and the OWASP Top 10
Summarize this topic in 12 paragraphs. Give code examples. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
Fair Use Sources
- ScyllaDB for Archive Access for Fair Use Preservation, quoting, paraphrasing, excerpting and/or commenting upon
OAuth: OAuth Glossary, Verified ID
OAuth RFCs: RFC 6749 The OAuth 2.0 Authorization Framework, Bearer Token Usage, RFC 7519 JSON Web Token (JWT), RFC 7521 Assertion Framework for OAuth 2.0 Client Authentication and Authorization Grants, RFC 7522 Security Assertion Markup Language (SAML) 2.0 Profile for OAuth 2.0 Client Authentication and Authorization Grants, RFC 7523 JSON Web Token (JWT) Profile for OAuth 2.0 Client Authentication and Authorization Grants, RFC 7636 Proof Key for Code Exchange by OAuth Public Clients, RFC 7662 OAuth 2.0 Token Introspection, RFC 8252 OAuth 2.0 for Native Apps, RFC 8414 OAuth 2.0 Authorization Server Metadata, RFC 8628 OAuth 2.0 Device Authorization Grant, RFC 8705 OAuth 2.0 Mutual-TLS Client Authentication and Certificate-Bound Access Tokens, RFC 8725 JSON Web Token (JWT) Profile for OAuth 2.0 Access Tokens, RFC 7009 OAuth 2.0 Token Revocation, RFC 7591 OAuth 2.0 Dynamic Client Registration Protocol, RFC 7592 OAuth 2.0 Dynamic Client Management Protocol, RFC 6819 OAuth 2.0 Threat Model and Security Considerations, RFC 7524 Interoperable Security for Web Substrate (WebSub), RFC 7033 WebFinger, RFC 8251 Updates to the OAuth 2.0 Security Threat Model.
OAuth Topics: Most Common Topics: OAuth 2.0, OAuth 1.0, Access Tokens, Refresh Tokens, Authorization Code Grant, Client Credentials Grant, Implicit Grant, Resource Owner Password Credentials Grant, Token Expiry, Token Revocation, Scopes, Client Registration, Authorization Servers, Resource Servers, Redirection URIs, Secure Token Storage, Token Introspection, JSON Web Tokens (JWT), OpenID Connect, PKCE (Proof Key for Code Exchange), Token Endpoint, Authorization Endpoint, Response Types, Grant Types, Token Lifespan, OAuth Flows, Consent Screen, Third-Party Applications, OAuth Clients, Client Secrets, State Parameter, Code Challenge, Code Verifier, Access Token Request, Access Token Response, OAuth Libraries, OAuth Debugging, OAuth in Mobile Apps, OAuth in Single Page Applications, OAuth in Web Applications, OAuth in Microservices, OAuth for APIs, OAuth Providers, User Authentication, User Authorization, OAuth Scenarios, OAuth Vulnerabilities, Security Best Practices, OAuth Compliance, OAuth Configuration, OAuth Middleware, OAuth with HTTP Headers, OAuth Errors, OAuth in Enterprise, OAuth Service Accounts, OAuth Proxy, OAuth Delegation, OAuth Auditing, OAuth Monitoring, OAuth Logging, OAuth Rate Limiting, OAuth Token Binding, OAuth2 Device Flow, Dynamic Client Registration, OAuth Server Metadata, OAuth Discovery, OAuth Certifications, OAuth Community, OAuth Education, OAuth Testing Tools, OAuth Documentation, OAuth2 Frameworks, OAuth Version Comparison, OAuth History, OAuth Extensions, OAuth Metrics, OAuth Performance Optimization, OAuth Impact on Business, OAuth Adoption Challenges, OAuth Industry Standards, OAuth and GDPR, OAuth and Compliance, OAuth and Privacy, OAuth and Cryptography, OAuth Best Practices, OAuth Updates, OAuth User Stories, OAuth Legacy Systems, OAuth Interoperability, OAuth Deprecation, OAuth Security Analysis, OAuth Integration Patterns, OAuth and IoT, OAuth and Blockchain.
OAuth Vendors: Google, Microsoft, Facebook, Amazon, Twitter, Apple, GitHub, Salesforce, Okta, Auth0, Ping Identity, OneLogin, IBM, Oracle, LinkedIn, Yahoo, Adobe, Dropbox, Spotify, Slack.
OAuth Products: Microsoft Azure Active Directory, GitHub OAuth Apps, Amazon Cognito, Google OAuth 2.0, Google Cloud Identity, IBM Cloud App ID, Oracle Identity Cloud Service, Facebook Login, Apple Sign In, Microsoft Identity Platform, GitHub Apps, Amazon Security Token Service, Google Identity Services, Google Cloud IAM, IBM Security Access Manager, Oracle Access Manager, Facebook Access Token Handling, Apple Game Center Authentication, Microsoft Graph API, GitHub Personal Access Tokens, Amazon IAM Roles Anywhere, Google Workspace Admin SDK, Google Play Services Authentication, IBM Cloud IAM, Oracle Cloud Infrastructure Identity and Access Management.
GitHub OAuth, Awesome OAuth. (navbar_oauth - see also navbar_iam, navbar_passkeys, navbar_passwords, navbar_security)
ScyllaDB and JWT Tokens
Return to ScyllaDB, JWT Tokens, ScyllaDB Security, Security, ScyllaDB Authorization with OAuth, ScyllaDB and the OWASP Top 10
Summarize this topic in 20 paragraphs. Give code examples. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
Fair Use Sources
- ScyllaDB for Archive Access for Fair Use Preservation, quoting, paraphrasing, excerpting and/or commenting upon
ScyllaDB and the OWASP Top 10
See: ScyllaDB and the OWASP Top 10
Return to ScyllaDB, OWASP Top Ten, ScyllaDB Security, Security, ScyllaDB Authorization with OAuth, ScyllaDB and JWT Tokens
Discuss how OWASP Top 10 is supported by ScyllaDB. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
Fair Use Sources
- ScyllaDB for Archive Access for Fair Use Preservation, quoting, paraphrasing, excerpting and/or commenting upon
ScyllaDB and Broken Access Control
See: ScyllaDB and Broken Access Control
Return to ScyllaDB and the OWASP Top 10, Broken Access Control, OWASP Top Ten, ScyllaDB, ScyllaDB Security, Security, ScyllaDB Authorization with OAuth, ScyllaDB and JWT Tokens
ScyllaDB and Broken Access Control
Discuss how Broken Access Control is prevented in ScyllaDB. Give code examples. Summarize this topic in 11 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB Programming Languages
See: Programming Languages for ScyllaDB
Return to ScyllaDB
ScyllaDB Programming Languages:
Discuss which programming languages are supported. Give code examples comparing them. Summarize this topic in 10 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and TypeScript
Return to ScyllaDB, TypeScript
Discuss how TypeScript is supported by ScyllaDB. Give code examples. Summarize this topic in 11 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and TypeScript
Return to ScyllaDB, TypeScript
Discuss how TypeScript is supported by ScyllaDB. Give code examples. Summarize this topic in 11 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and IDEs, Code Editors and Development Tools
See: ScyllaDB and IDEs, Code Editors and Development Tools
Return to ScyllaDB, IDEs, Code Editors and Development Tools
Discuss which IDEs, Code Editors and other Development Tools are supported. Discuss which programming languages are most commonly used. Summarize this topic in 15 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and the Command-Line
ScyllaDB Command-Line Interface - ScyllaDB CLI:
Create a list of the top 40 ScyllaDB CLI commands with no description or definitions. Sort by most common. Include NO description or definitions. Put double square brackets around each topic. Don't number them, separate each topic with only a comma and 1 space.
ScyllaDB Command-Line Interface - ScyllaDB CLI:
Summarize this topic in 15 paragraphs with descriptions and examples for the most commonly used CLI commands. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and 3rd Party Libraries
ScyllaDB and 3rd Party Libraries
Discuss common 3rd Party Libraries used with ScyllaDB. Give code examples. Summarize this topic in 15 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and Unit Testing
Return to ScyllaDB, Unit Testing
Discuss how unit testing is supported by ScyllaDB. Give code examples. Summarize this topic in 12 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and Test-Driven Development
ScyllaDB and Test-Driven Development:
Discuss how TDD is supported by ScyllaDB. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and Performance
Return to ScyllaDB, Performance
Discuss performance and ScyllaDB. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and Functional Programming
Return to ScyllaDB, Functional Programming
ScyllaDB and Functional Programming:
Discuss functional programming and ScyllaDB. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and Asynchronous Programming
Return to ScyllaDB, Asynchronous Programming
ScyllaDB and Asynchronous Programming:
Discuss asynchronous programming and ScyllaDB. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and Serverless FaaS
Return to ScyllaDB, Serverless FaaS
Discuss Serverless FaaS and ScyllaDB. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and Microservices
Return to ScyllaDB, Microservices
Discuss microservices and ScyllaDB. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and React
Discuss React integration with ScyllaDB. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and Angular
Discuss Angular integration with ScyllaDB. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and Vue.js
Discuss Vue.js integration with ScyllaDB. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and Spring Framework
Return to ScyllaDB, Spring Framework
ScyllaDB and Spring Framework / ScyllaDB and Spring Boot:
Discuss Spring Framework integration with ScyllaDB. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and Microsoft .NET
Return to ScyllaDB, Microsoft dot NET | Microsoft .NET
Discuss ScyllaDB for Microsoft .NET 8. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and RESTful APIs
Return to ScyllaDB, RESTful APIs
Discuss RESTful APIs integration with ScyllaDB. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and OpenAPI
Discuss OpenAPI integration with ScyllaDB. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and FastAPI
Discuss FastAPI integration with ScyllaDB. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and GraphQL
Discuss GraphQL integration with ScyllaDB. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and gRPC
Discuss gRPC integration with ScyllaDB. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and Node.js
Discuss Node.js usage with ScyllaDB. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym! REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and Deno
Discuss Deno usage with ScyllaDB. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and Containerization
Return to ScyllaDB, Containerization
ScyllaDB and Containerization:
Discuss Containerization and ScyllaDB. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and Docker
Return to ScyllaDB, Docker, Containerization
Discuss Docker and ScyllaDB. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and Podman
Return to ScyllaDB, Podman, Containerization
Discuss Podman and ScyllaDB. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and Kubernetes
Return to ScyllaDB, Kubernetes, Containerization
Discuss Kubernetes and ScyllaDB. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and WebAssembly / Wasm
Return to ScyllaDB, WebAssembly / Wasm
Discuss how WebAssembly / Wasm is supported by ScyllaDB. Give code examples. Summarize this topic in 20 paragraphs. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and Middleware
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Summarize this topic in 10 paragraphs. Give code examples. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and ORMs
Summarize this topic in 10 paragraphs. Give code examples. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB and Object Data Modeling (ODM)
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ScyllaDB and Object Data Modeling (ODM) such as Mongoose
Summarize this topic in 10 paragraphs. Give code examples. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB Automation with Python
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ScyllaDB Automation with Python
Summarize this topic in 24 paragraphs. Give 12 code examples. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB Automation with Java
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Summarize this topic in 12 paragraphs. Give 6 code examples. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB Automation with Kotlin
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ScyllaDB Automation with Kotlin
Summarize this topic in 12 paragraphs. Give 6 code examples. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB Automation with JavaScript using Node.js
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ScyllaDB Automation with JavaScript using Node.js
Summarize this topic in 20 paragraphs. Give 15 code examples. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB Automation with Golang
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ScyllaDB Automation with Golang
Summarize this topic in 20 paragraphs. Give 15 code examples. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB Automation with Rust
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Summarize this topic in 20 paragraphs. Give 15 code examples. Make the Wikipedia or other references URLs as raw URLs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST ALWAYS put double square brackets around EVERY acronym, product name, company or corporation name, name of a person, country, state, place, years, dates, buzzword, slang, jargon or technical words. REMEMBER, you MUST MUST ALWAYS put double square brackets around EVERY acronym!
ScyllaDB Glossary
Return to ScyllaDB, ScyllaDB Glossary
Give 10 related glossary terms with definitions. Don't number them. Each topic on a separate line followed by a second carriage return. Right after the English term, list the equivalent French term. You MUST put double square brackets around each computer buzzword or jargon or technical words.
Give another 10 related glossary terms with definitions. Right after the English term, list the equivalent French term. Don't repeat what you already listed. Don't number them. You MUST put double square brackets around each computer buzzword or jargon or technical words.
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Rust Programming Language: Answering in French, Give 10 glossary terms with definitions[. Right after the French term, list the equivalent English term. Don't repeat what you already listed. Don't number them. You MUST put double square brackets around each programming term, technology, product, computer buzzword or jargon or technical words.
Answering in French, Give another 10 related glossary terms with definitions. Right after the French term, list the equivalent English term. Don't repeat what you already listed. Don't number them. You MUST put double square brackets around each computer buzzword or jargon or technical words.
Rust Programming Language: Answering in French, Give 10 glossary terms with definitions[. Right after the French term, list the equivalent English term. Don't repeat what you already listed. Don't number them. You MUST put double square brackets around each programming term, technology, product, computer buzzword or jargon or technical words.
Kubernetes: Answering in French, Give another 10 related glossary terms with definitions. IMMEDIATELY after the French term, list the equivalent English term. Don't repeat what you already listed. Don't number them. You MUST put double square brackets around each programming term, technology, product, computer buzzword or jargon or technical words. Give no introduction, no conclusion.
Answering in French, Give another 10 related glossary terms with definitions. Right after the French term, list the equivalent English term. Don't repeat what you already listed. Don't number them. You MUST put double square brackets around each programming term, technology, product, computer buzzword or jargon or technical words. Python Programming Language: Answering in French, Give another 10 related glossary terms with definitions. Right after the French term, list the equivalent English term. Don't repeat what you already listed. Don't number them. You MUST put double square brackets around each programming term, technology, product, computer buzzword or jargon or technical words.
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. (navbar_ScyllaDB – see also navbar_full_stack, navbar_javascript, navbar_node.js, navbar_software_architecture)
Create a list of the top 100 ScyllaDB topics with no description or definitions. Sort by most common. Include NO description or definitions. Put double square brackets around each topic. Don't number them, separate each topic with only a comma and 1 space.
JavaScript Vocabulary List (Sorted by Popularity)
JavaScript Programming Language, JavaScript ECMAScript Standard, JavaScript Variable Declaration, JavaScript let Keyword, JavaScript const Keyword, JavaScript var Keyword, JavaScript Function Declaration, JavaScript Arrow Function, JavaScript Async Function, JavaScript Await Keyword, JavaScript Promise, JavaScript Callback Function, JavaScript JSON (JavaScript Object Notation), JavaScript Object, JavaScript Array, JavaScript String, JavaScript Number, JavaScript Boolean, JavaScript Null, JavaScript Undefined, JavaScript Symbol, JavaScript BigInt, JavaScript Template Literal, JavaScript Destructuring Assignment, JavaScript Spread Operator, JavaScript Rest Parameter, JavaScript Map Object, JavaScript Set Object, JavaScript WeakMap, JavaScript WeakSet, JavaScript Date Object, JavaScript RegExp Object, JavaScript Class Declaration, JavaScript Prototype, JavaScript Inheritance, JavaScript this Keyword, JavaScript new Operator, JavaScript delete Operator, JavaScript instanceof Operator, JavaScript typeof Operator, JavaScript Object.keys, JavaScript Object.values, JavaScript Object.entries, JavaScript Object.assign, JavaScript Object.freeze, JavaScript Object.seal, JavaScript Object.create, JavaScript Object.defineProperty, JavaScript Array.push, JavaScript Array.pop, JavaScript Array.shift, JavaScript Array.unshift, JavaScript Array.slice, JavaScript Array.splice, JavaScript Array.forEach, JavaScript Array.map, JavaScript Array.filter, JavaScript Array.reduce, JavaScript Array.reduceRight, JavaScript Array.some, JavaScript Array.every, JavaScript Array.find, JavaScript Array.findIndex, JavaScript Array.includes, JavaScript Array.indexOf, JavaScript Array.flat, JavaScript Array.flatMap, JavaScript String.length, JavaScript String.charAt, JavaScript String.charCodeAt, JavaScript String.includes, JavaScript String.indexOf, JavaScript String.slice, JavaScript String.substring, JavaScript String.substr, JavaScript String.toUpperCase, JavaScript String.toLowerCase, JavaScript String.trim, JavaScript String.replace, JavaScript String.split, JavaScript String.startsWith, JavaScript String.endsWith, JavaScript Number.parseInt, JavaScript Number.parseFloat, JavaScript Number.isNaN, JavaScript Number.isInteger, JavaScript Math Object, JavaScript Math.random, JavaScript Math.floor, JavaScript Math.ceil, JavaScript Math.round, JavaScript Math.max, JavaScript Math.min, JavaScript Math.abs, JavaScript Math.pow, JavaScript Math.sqrt, JavaScript JSON.stringify, JavaScript JSON.parse, JavaScript Promise.then, JavaScript Promise.catch, JavaScript Promise.finally, JavaScript Promise.resolve, JavaScript Promise.reject, JavaScript Promise.all, JavaScript Promise.race, JavaScript Promise.allSettled, JavaScript Async/Await Syntax, JavaScript console.log, JavaScript console.error, JavaScript console.warn, JavaScript console.info, JavaScript console.table, JavaScript console.debug, JavaScript console.group, JavaScript console.groupEnd, JavaScript console.clear, JavaScript Debugger Keyword, JavaScript Strict Mode, JavaScript Use Strict Directive, JavaScript Module Import, JavaScript Module Export, JavaScript Default Export, JavaScript Named Export, JavaScript import Keyword, JavaScript export Keyword, JavaScript Dynamic Import, JavaScript DOM (Document Object Model), JavaScript document Object, JavaScript window Object, JavaScript navigator Object, JavaScript location Object, JavaScript history Object, JavaScript screen Object, JavaScript fetch API, JavaScript XMLHttpRequest, JavaScript Event Listener, JavaScript addEventListener, JavaScript removeEventListener, JavaScript Event Bubbling, JavaScript Event Capturing, JavaScript Event Propagation, JavaScript MouseEvent, JavaScript KeyboardEvent, JavaScript TouchEvent, JavaScript CustomEvent, JavaScript dispatchEvent, JavaScript classList, JavaScript querySelector, JavaScript querySelectorAll, JavaScript getElementById, JavaScript getElementsByClassName, JavaScript getElementsByTagName, JavaScript createElement, JavaScript createTextNode, JavaScript appendChild, JavaScript removeChild, JavaScript replaceChild, JavaScript innerHTML, JavaScript textContent, JavaScript style Property, JavaScript getComputedStyle, JavaScript Local Storage, JavaScript Session Storage, JavaScript Cookie Handling, JavaScript setTimeout, JavaScript setInterval, JavaScript clearTimeout, JavaScript clearInterval, JavaScript requestAnimationFrame, JavaScript cancelAnimationFrame, JavaScript fetch(url), JavaScript fetch Options, JavaScript fetch Headers, JavaScript fetch Body, JavaScript Promise Chaining, JavaScript async Keyword, JavaScript await Keyword, JavaScript Generators, JavaScript yield Keyword, JavaScript Iterator Protocol, JavaScript Iterable Protocol, JavaScript Symbol.iterator, JavaScript for...of Loop, JavaScript for...in Loop, JavaScript Object Literal, JavaScript Shorthand Property, JavaScript Computed Property Name, JavaScript Arrow Function this Binding, JavaScript Default Parameters, JavaScript Rest Parameters, JavaScript Spread Syntax, JavaScript Destructuring Patterns, JavaScript Object Destructuring, JavaScript Array Destructuring, JavaScript Template Strings, JavaScript Tagged Templates, JavaScript Intl API, JavaScript Intl.NumberFormat, JavaScript Intl.DateTimeFormat, JavaScript Intl.Collator, JavaScript Intl.PluralRules, JavaScript Intl.RelativeTimeFormat, JavaScript Intl.ListFormat, JavaScript Intl.DisplayNames, JavaScript Intl.Locale, JavaScript Weak References, JavaScript WeakRef, JavaScript FinalizationRegistry, JavaScript Symbols, JavaScript Symbol.for, JavaScript Symbol.keyFor, JavaScript Proxy Object, JavaScript Reflect Object, JavaScript Reflect.apply, JavaScript Reflect.construct, JavaScript Reflect.defineProperty, JavaScript Reflect.deleteProperty, JavaScript Reflect.get, JavaScript Reflect.set, JavaScript Reflect.getOwnPropertyDescriptor, JavaScript Reflect.getPrototypeOf, JavaScript Reflect.setPrototypeOf, JavaScript Reflect.has, JavaScript Reflect.ownKeys, JavaScript Proxy Handlers, JavaScript Proxy get Trap, JavaScript Proxy set Trap, JavaScript Proxy has Trap, JavaScript Proxy deleteProperty Trap, JavaScript Proxy defineProperty Trap, JavaScript Proxy getOwnPropertyDescriptor Trap, JavaScript Proxy getPrototypeOf Trap, JavaScript Proxy setPrototypeOf Trap, JavaScript Proxy ownKeys Trap, JavaScript Proxy apply Trap, JavaScript Proxy construct Trap, JavaScript Strict Mode Errors, JavaScript Eval Function, JavaScript Function.prototype.call, JavaScript Function.prototype.apply, JavaScript Function.prototype.bind, JavaScript Object.prototype.toString, JavaScript Object.prototype.hasOwnProperty, JavaScript Object.prototype.isPrototypeOf, JavaScript Object.prototype.propertyIsEnumerable, JavaScript ArrayBuffer, JavaScript TypedArray, JavaScript Uint8Array, JavaScript Uint16Array, JavaScript Uint32Array, JavaScript Int8Array, JavaScript Int16Array, JavaScript Int32Array, JavaScript Float32Array, JavaScript Float64Array, JavaScript BigUint64Array, JavaScript BigInt64Array, JavaScript DataView, JavaScript Blob, JavaScript File API, JavaScript FileReader, JavaScript URL API, JavaScript URLSearchParams, JavaScript FormData, JavaScript WebSocket, JavaScript EventSource, JavaScript BroadcastChannel, JavaScript Worker, JavaScript Service Worker, JavaScript IndexedDB, JavaScript WebGL, JavaScript Canvas API, JavaScript OffscreenCanvas, JavaScript AudioContext, JavaScript VideoContext (Hypothetical), JavaScript Web Audio API, JavaScript MediaDevices, JavaScript MediaStream, JavaScript MediaRecorder, JavaScript WebRTC (Web Real-Time Communication), JavaScript RTCPeerConnection, JavaScript RTCDataChannel, JavaScript RTCSessionDescription, JavaScript RTCIceCandidate, JavaScript History API, JavaScript Push API, JavaScript Notification API, JavaScript Geolocation API, JavaScript Web Storage API, JavaScript Web Animations API, JavaScript ResizeObserver, JavaScript IntersectionObserver, JavaScript MutationObserver, JavaScript Performance API, JavaScript Performance.now, JavaScript Page Visibility API, JavaScript Fullscreen API, JavaScript Screen Orientation API, JavaScript Clipboard API, JavaScript RequestIdleCallback, JavaScript Payment Request API, JavaScript Credential Management API, JavaScript Web Speech API, JavaScript SpeechRecognition, JavaScript SpeechSynthesis, JavaScript Picture-in-Picture API, JavaScript Pointer Events, JavaScript PointerEvent, JavaScript Touch Events, JavaScript Drag and Drop API, JavaScript History.pushState, JavaScript History.replaceState, JavaScript Custom Elements, JavaScript Shadow DOM, JavaScript HTML Templates, JavaScript HTML Imports (Deprecated), JavaScript ES Modules, JavaScript CommonJS Modules, JavaScript AMD (Asynchronous Module Definition), JavaScript UMD (Universal Module Definition), JavaScript Node.js Runtime, JavaScript NPM (Node Package Manager), JavaScript Yarn Package Manager, JavaScript pnpm Package Manager, JavaScript Webpack Bundler, JavaScript Parcel Bundler, JavaScript Rollup Bundler, JavaScript Babel Transpiler, JavaScript ESLint Linter, JavaScript Prettier Formatter, JavaScript Jest Testing, JavaScript Mocha Testing, JavaScript Chai Assertion, JavaScript Jasmine Testing, JavaScript QUnit Testing, JavaScript Karma Test Runner, JavaScript WebDriver, JavaScript Protractor (Deprecated), JavaScript Cypress Testing, JavaScript Puppeteer, JavaScript Playwright, JavaScript Electron Framework, JavaScript NW.js Framework, JavaScript Gulp Task Runner, JavaScript Grunt Task Runner, JavaScript npm run Scripts, JavaScript Yarn Scripts, JavaScript ESLint Config, JavaScript Babel Preset, JavaScript Babel Plugin, JavaScript TypeScript (JavaScript Superset), JavaScript Flow Type Checker, JavaScript JSDoc Comments, JavaScript Closure Compiler, JavaScript Terser Minifier, JavaScript UglifyJS Minifier, JavaScript Web Components, JavaScript LitElement, JavaScript Polymer Library, JavaScript Angular Framework, JavaScript React Library, JavaScript Vue.js Framework, JavaScript Svelte Framework, JavaScript Preact Library, JavaScript Redux State Management, JavaScript MobX State Management, JavaScript RxJS (Reactive Extensions for JavaScript), JavaScript GraphQL Queries, JavaScript Relay Modern, JavaScript Apollo Client, JavaScript jQuery Library, JavaScript Lodash Utility, JavaScript Underscore Utility, JavaScript Moment.js Date Library, JavaScript Day.js Date Library, JavaScript Luxon Date Library, JavaScript D3.js Data Visualization, JavaScript Three.js 3D Graphics, JavaScript Phaser Game Framework, JavaScript PixiJS Rendering, JavaScript Anime.js Animation, JavaScript GSAP Animation, JavaScript Popper.js Tooltip, JavaScript Bootstrap Framework, JavaScript Material UI, JavaScript Tailwind CSS Integration, JavaScript Styled Components, JavaScript Emotion Styling, JavaScript WebAssembly Integration, JavaScript Babel Polyfill, JavaScript Core-js Polyfill, JavaScript fetch Polyfill, JavaScript Promise Polyfill, JavaScript IntersectionObserver Polyfill, JavaScript Polyfill.io Service, JavaScript regeneratorRuntime, JavaScript Zone.js, JavaScript Meteor Framework, JavaScript Next.js Framework, JavaScript Nuxt.js Framework, JavaScript Gatsby Framework, JavaScript Sapper Framework, JavaScript Ember.js Framework, JavaScript Backbone.js Framework, JavaScript Mithril.js Framework, JavaScript Alpine.js, JavaScript Stimulus.js, JavaScript Aurelia Framework, JavaScript Polymer Elements, JavaScript Angular CLI, JavaScript Create React App, JavaScript Vue CLI, JavaScript Nuxt CLI, JavaScript Gatsby CLI, JavaScript Next CLI, JavaScript Angular Ivy Compiler, JavaScript Angular Ahead-of-Time Compilation, JavaScript React Fiber, JavaScript React Hooks, JavaScript React Context API, JavaScript React Suspense, JavaScript React Concurrent Mode, JavaScript Vue Composition API, JavaScript Vuex State Management, JavaScript Quasar Framework, JavaScript Ionic Framework, JavaScript NativeScript, JavaScript React Native, JavaScript Electron IPC, JavaScript Node.js Process, JavaScript Node.js Buffer, JavaScript Node.js Stream, JavaScript Node.js EventEmitter, JavaScript Node.js fs Module, JavaScript Node.js http Module, JavaScript Node.js path Module, JavaScript Node.js os Module, JavaScript Node.js cluster, JavaScript Node.js crypto Module, JavaScript Node.js child_process Module, JavaScript Node.js readline Module, JavaScript Node.js repl Module, JavaScript Node.js vm Module, JavaScript Node.js global Object, JavaScript Node.js require Function, JavaScript Node.js exports Object, JavaScript Node.js __dirname, JavaScript Node.js __filename, JavaScript Type Assertion (TypeScript), JavaScript JIT Compilation, JavaScript Interpreter Execution, JavaScript Just-In-Time Optimization, JavaScript Inline Caches, JavaScript Hidden Classes, JavaScript Deoptimization, JavaScript V8 Engine, JavaScript SpiderMonkey Engine, JavaScript JavaScriptCore Engine, JavaScript Chakra Engine, JavaScript QuickJS Engine, JavaScript Bun Runtime, JavaScript Deno Runtime, JavaScript ESM (ECMAScript Modules), JavaScript CommonJS Require, JavaScript Tree Shaking, JavaScript Code Splitting, JavaScript Dynamic Import Expressions, JavaScript Lazy Loading, JavaScript Prefetching, JavaScript Preloading, JavaScript Service Worker Cache, JavaScript Progressive Web Apps (PWAs), JavaScript Manifest.json, JavaScript Web App Install Banner, JavaScript IndexedDB Transactions, JavaScript IDBKeyRange, JavaScript Streams API, JavaScript ReadableStream, JavaScript WritableStream, JavaScript TransformStream, JavaScript ByteLengthQueuingStrategy, JavaScript CountQueuingStrategy, JavaScript AbortController, JavaScript AbortSignal, JavaScript CanvasRenderingContext2D, JavaScript OffscreenCanvasRenderingContext2D, JavaScript WebGLRenderingContext, JavaScript WebGL2RenderingContext, JavaScript GPU Web API (WebGPU), JavaScript fetch Abort, JavaScript fetch Response, JavaScript fetch Request, JavaScript Headers Object, JavaScript FormData.append, JavaScript URLSearchParams.append, JavaScript location.reload, JavaScript location.replace, JavaScript location.assign, JavaScript location.href, JavaScript history.back, JavaScript history.forward, JavaScript history.go, JavaScript sessionStorage.setItem, JavaScript sessionStorage.getItem, JavaScript localStorage.setItem, JavaScript localStorage.getItem, JavaScript cookieStorage (Hypothetical), JavaScript Notification.requestPermission, JavaScript Notification Constructor, JavaScript PushSubscription, JavaScript PushManager, JavaScript Geolocation.getCurrentPosition, JavaScript Geolocation.watchPosition, JavaScript Performance.mark, JavaScript Performance.measure, JavaScript PerformanceEntry, JavaScript PerformanceObserver, JavaScript ResizeObserver.observe, JavaScript IntersectionObserver.observe, JavaScript MutationObserver.observe, JavaScript MutationRecord, JavaScript High Resolution Time API, JavaScript PaymentRequest, JavaScript PaymentResponse, JavaScript Credential Management, JavaScript Federated Credential, JavaScript Web Speech Recognition, JavaScript Web Speech Synthesis, JavaScript SpeechSynthesisUtterance, JavaScript SpeechSynthesisVoice, JavaScript PictureInPictureWindow, JavaScript RTCPeerConnection.createOffer, JavaScript RTCPeerConnection.createAnswer, JavaScript RTCPeerConnection.setLocalDescription, JavaScript RTCPeerConnection.setRemoteDescription, JavaScript RTCPeerConnection.addIceCandidate, JavaScript RTCIceCandidateInit, JavaScript RTCSessionDescriptionInit, JavaScript RTCDataChannel.send, JavaScript RTCDataChannel.onmessage, JavaScript RTCDataChannel.onopen, JavaScript RTCDataChannel.onclose, JavaScript RTCDataChannel.bufferedAmount, JavaScript MediaDevices.getUserMedia, JavaScript MediaDevices.getDisplayMedia, JavaScript MediaStream.getTracks, JavaScript MediaStream.addTrack, JavaScript MediaRecorder.start, JavaScript MediaRecorder.stop, JavaScript MediaRecorder.ondataavailable, JavaScript Event.preventDefault, JavaScript Event.stopPropagation, JavaScript Event.stopImmediatePropagation, JavaScript Element.classList.add, JavaScript Element.classList.remove, JavaScript Element.classList.toggle, JavaScript Element.classList.contains, JavaScript Element.getBoundingClientRect, JavaScript Element.scrollIntoView, JavaScript document.createEvent, JavaScript document.createAttribute, JavaScript document.createComment, JavaScript document.createDocumentFragment, JavaScript document.importNode, JavaScript document.adoptNode, JavaScript CSSOM Integration, JavaScript CSSStyleDeclaration, JavaScript style.setProperty, JavaScript style.getPropertyValue, JavaScript style.removeProperty, JavaScript matchMedia, JavaScript matchMedia.addListener, JavaScript matchMedia.removeListener, JavaScript CustomEvent.initCustomEvent, JavaScript DOMTokenList, JavaScript DOMParser, JavaScript XMLSerializer, JavaScript FormData.get, JavaScript FormData.set, JavaScript FormData.delete, JavaScript Intl.getCanonicalLocales, JavaScript Intl.NumberFormat.format, JavaScript Intl.DateTimeFormat.format, JavaScript Intl.Collator.compare, JavaScript Intl.PluralRules.select, JavaScript Intl.RelativeTimeFormat.format, JavaScript Intl.ListFormat.format, JavaScript Intl.DisplayNames.of, JavaScript Intl.Locale.maximize, JavaScript WeakRef.deref, JavaScript FinalizationRegistry.register, JavaScript WeakMap.get, JavaScript WeakMap.set, JavaScript WeakMap.delete, JavaScript WeakSet.add, JavaScript WeakSet.delete, JavaScript WeakSet.has, JavaScript Map.get, JavaScript Map.set, JavaScript Map.delete, JavaScript Map.has, JavaScript Set.add, JavaScript Set.delete, JavaScript Set.has, JavaScript DataView.getInt8, JavaScript DataView.getUint8, JavaScript DataView.setInt8, JavaScript DataView.setUint8, JavaScript Uint8Array.buffer, JavaScript Uint8Array.byteLength, JavaScript Int32Array.subarray, JavaScript Float64Array.fill, JavaScript BigInt64Array.set, JavaScript ArrayBuffer.slice, JavaScript CanvasGradient.addColorStop, JavaScript CanvasPattern.setTransform, JavaScript CanvasRenderingContext2D.fillRect, JavaScript CanvasRenderingContext2D.strokeRect, JavaScript CanvasRenderingContext2D.beginPath, JavaScript CanvasRenderingContext2D.arc, JavaScript CanvasRenderingContext2D.fill, JavaScript CanvasRenderingContext2D.stroke, JavaScript WebGLRenderingContext.clear, JavaScript WebGLRenderingContext.drawArrays, JavaScript OffscreenCanvas.convertToBlob, JavaScript AudioContext.createOscillator, JavaScript AudioContext.createGain, JavaScript AudioContext.destination, JavaScript AudioParam.setValueAtTime, JavaScript AudioParam.linearRampToValueAtTime, JavaScript AudioBufferSourceNode.start, JavaScript AudioBufferSourceNode.stop, JavaScript fetch.text, JavaScript fetch.json, JavaScript fetch.blob, JavaScript fetch.formData, JavaScript fetch.arrayBuffer, JavaScript Request.cache, JavaScript Request.credentials, JavaScript Request.headers, JavaScript Request.redirect, JavaScript Request.url, JavaScript Response.ok, JavaScript Response.status, JavaScript Response.statusText, JavaScript Response.headers, JavaScript Response.body, JavaScript Headers.append, JavaScript Headers.delete, JavaScript Headers.get, JavaScript Headers.has, JavaScript Headers.set, JavaScript URL.href, JavaScript URL.searchParams, JavaScript URLSearchParams.get, JavaScript URLSearchParams.set, JavaScript URLSearchParams.delete, JavaScript URLSearchParams.has, JavaScript FormData.values, JavaScript Node.js CommonJS require, JavaScript Node.js ESM import, JavaScript Web Storage localStorage, JavaScript Web Storage sessionStorage
AbortController, Absolute URLs, Abstract Equality Comparison, Abstract Syntax Tree, Accessor Properties, ActiveXObject, AddEventListener Method, AJAX Calls, AJAX Polling, Alert Dialogs, Alignment of Elements, All Settled Method in Promises, Animation Frames, Anonymous Functions, API Fetching, Application Cache, Arguments Object, Arrow Functions, Art Direction in Web Design, Asynchronous Iterators, Asynchronous Programming, Async Functions, Attribute Nodes, AudioContext API, Augmented Reality in Web, Authentication Tokens, Automatic Semicolon Insertion, Autoplay Attribute, Await Expression, Backbone of JavaScript Applications, Background Scripts, Backwards Compatibility in JavaScript, Base64 Encoding, Beforeunload Event, Best Practices in JavaScript, Binary Data Handling, Binary Heap in JavaScript, Binding of Functions, Blob Objects, Block-Level Scope, Boolean Objects, Bounding Client Rect, Box Model in CSS, Break and Continue Statements, Broadcast Channels, Browser Compatibility, Browser Event Model, Browser Object Model, Buffer Objects, Built-in Objects, Button Elements, Cache API, Callback Functions, Call Method, Canvas API, Caret Position, Cascading Style Sheets Integration, Case Sensitivity in JavaScript, Change Detection, Character Encoding, Child Nodes, Class Declarations, Class Expressions, Client-Side Rendering, Clipboard API, Closures in JavaScript, Coding Conventions, Collection Objects, Color Depth Detection, Comma Operator, Comparison Operators, Compatibility Mode, Computed Properties, Conditional Comments, Conditional Operator, Console Object, Constructor Functions, Content Security Policy, Context Menu Events, Control Flow in JavaScript, Cookies Management, Copy Event, Cordova Integration, CORS (Cross-Origin Resource Sharing), Create Document Fragment, Crypto API, CSS Object Model, Custom Elements, Custom Events, Data Attributes, Data Binding in JavaScript, Data Types in JavaScript, Data URLs, Date and Time Functions, Debugger Statements, Debugging JavaScript Code, Decimal Numbers, Default Parameters, Deferred Scripts, Delay Function Execution, Delete Operator, Destructuring Assignment, Device Orientation Events, Dialog Element, Difference Between Var, Let, and Const, Digital Certificates in Web, Dimension Properties, Direction Property in CSS, Directive Prologue, Disable Right-Click, Discouraged Practices, DispatchEvent Method, Display Property in CSS, Document Base URL, Document Fragment, Document Object Model (DOM), Document Type Declaration, Doctype in HTML5, Do...While Loop, Drag and Drop API, Dynamic Imports, Dynamic Typing, E4X (ECMAScript for XML), ECMAScript Language Specification, ECMAScript Modules, Edit Distance Algorithm, Element Interface, Element Sizing, Element Traversal, Ember.js Integration, Empty Statements, EncodeURI Function, Encryption in Web Applications, Endless Scrolling Techniques, Engine Differences, Enhanced Object Literals, Enums in JavaScript, Environment Records, Error Handling in JavaScript, Error Objects, Escape Sequences, Eval Function, Event Bubbling, Event Capturing, Event Delegation, Event Handlers, Event Loop in JavaScript, Event Propagation, Event Queue, Event Source Interface, Event Target Interface, Exception Handling, Exec Command, Exponential Operator, Export Statements, Expressions in JavaScript, Extended Object Properties, Extensible Markup Language (XML), Fetch API, Fieldsets in Forms, File API, FileReader Object, Filter Method in Arrays, FinalizationRegistry, Find Method in Arrays, First-Class Functions, Floating Point Arithmetic, Focus Management, Font Loading API, Form Data Validation, Form Submission, FormData Object, Fragment Identifiers, Frame Timing API, Fullscreen API, Function Declarations, Function Expressions, Function Parameters, Function Scope, Functional Programming in JavaScript, Gamepad API, Garbage Collection in JavaScript, Generators in JavaScript, Geolocation API, getComputedStyle Method, getElementById Method, getElementsByClassName Method, getElementsByTagName Method, Global Execution Context, Global Object, Global Scope, GlobalThis Object, Grammar and Types in JavaScript, Grid Layout in CSS, GroupBy Functionality, Hash Tables in JavaScript, History API, Hoisting in JavaScript, Horizontal Rule Element, HTML Canvas Element, HTML Collection, HTML Templates, HTML5 Features, HTTP Requests, HTTP Response Codes, Hyperlinks in HTML, IIFE (Immediately Invoked Function Expression), Image Manipulation in Canvas, Image Preloading Techniques, Import Statements, In Operator, Indexed Collections, IndexedDB API, Infinity Value, Inheritance Patterns, Input Events, Input Validation, Instanceof Operator, Int32Array, Intl Object, Intersection Observer API, Intl.Collator, Intl.DateTimeFormat, Intl.NumberFormat, Invalid Date Object, IsNaN Function, Iteration Protocols, JavaScript Engines, JavaScript Modules, JavaScript Object Notation (JSON), JavaScript Operators, JavaScript Regular Expressions, JavaScript 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This chapter covers ScyllaDB and what it is ScyllaDB versus other databases How ScyllaDB leverages being a distributed system ScyllaDB is a distributed NoSQL database designed to be a more-performant rewrite of Apache Cassandra. Although it rhymes with Godzilla and has an adorable creature as a mascot, it’s designed to not be monstrous to operate.
Compared with relational databases, ScyllaDB brings two big weapons to the Great Database Battle Royale — scalability and fault tolerance. ScyllaDB runs as a distributed system, running multiple nodes to store and serve data. This distribution simplifies scalability; to add additional capacity, operators only need to add more nodes. By providing users the capability to tune how many nodes respond to a query, it also provides fault tolerance, because the system can handle the loss of a configurable amount of nodes before being unable to serve requests, as seen in figure 1.1.
Figure 1.1 ScyllaDB is a distributed database that provides scalability and fault tolerance. CH01 F08 Ingram This distributed design impacts everything around it — it affects how you design applications, how you query data, how you monitor the database, and how you recover the system during an outage. We’ll explore all of these areas, showing how ScyllaDB can be the practical distributed database for any application. Let’s dive in!
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Select a piece of text and click the appropriate icon to annotate, bookmark, or highlight (you can also use keyboard shortcuts - h to highlight, b to bookmark, n to create a note).
You can automatically highlight by performing the text selection while keeping the alt/ key pressed. 1.1 ScyllaDB, a different database ScyllaDB is a database — it says it in its name! Users give it data; the database gives it back when asked. This very basic and oversimplified interface isn’t too dissimilar from popular relational databases like PostgreSQL and MySQL. ScyllaDB, however, is not a relational database, eschewing joins and relational data modeling to provide a different set of benefits. To illustrate these, let’s take a look at a fictitious example.
1.1.1 Hypothetical databases Let’s imagine you’ve just moved to a new town, and as you go to new restaurants, you want to remember what you ate so that you can order it or avoid it next time. You could write it down in a journal or save it in the notes app on your phone, but you hear about a new business model where people remember information you send them. Your friend Robert has just started a similar venture: Robert’s Rememberings.
Robert’s Rememberings Robert’s business (figure 1.2) is straightforward: you can text Robert’s phone number, and he will remember whatever information you send him. He’ll also retrieve information for you, so you won’t need to remember everything you’ve eaten in your new town. That’s Robert’s job.
Figure 1.2 Robert’s Rememberings has a seemingly simple plan. CH01 F02 Ingram The plan works swimmingly at first, but issues begin to appear. Once, you text him, and he doesn’t respond. He apologizes later and says he had a doctor’s appointment. Not unreasonable, you want your friend to be healthy. Another time, you text him about a new meal, and it takes him several minutes to reply instead of his usual instant response. He says that business is booming, and he’s been inundated with requests — response time has suffered. He reassures you and says not to worry, he has a plan.
Figure 1.3 Robert adds a friend to his system to solve problems, but it introduces complications CH01 F03 Ingram Robert has hired a friend to help him out. He sends you the new updated rules for his system. If you only want to ask a question, you can text his friend, Rosa. All updates are still sent to Robert; he will send everything you save to her, so she’ll have an up-to-date copy. At first, you slip up a few times and still ask Robert questions, but it seems to work well. No longer is Robert overwhelmed, and Rosa’s responses are prompt.
One day, you realize that when you asked Rosa a question, she texted back an old review that you had previously overwritten. You message Robert about this discrepancy, worried that your review of the much-improved tacos at Main Street Tacos is lost forever. Robert tells you there was an issue within the system where Rosa hadn’t been receiving messages from Robert but was still able to get requests from customers. Your request hasn’t been lost, and they’re reconciling to get back in sync.
You wanted to be able to answer one question: is the food here good or not? Now, you’re worrying about contacting multiple people depending on whether you’re reading a review or writing a review, whether data is in sync, and whether your friend’s system can scale to satisfy all of their users' requests. What happens if Robert can’t handle people only saving their information? When you begin brainstorming intravenous energy drink solutions, you realize that it’s time to consider other options.
ABC Data: A different approach Your research leads you to another business – ABC Data. They tell you that their system is a little different: they have three people – Alice, Bob, and Charlotte – and any of them can save information or answer questions. They communicate with each other to ensure each of them has the latest data, as shown in figure 1.4. You’re curious what happens if one of them is unavailable, and they say they provide a cool feature: because there are multiple of them, they coordinate within themselves to provide redundancy for your data and increased availability. If Charlotte is unavailable, Alice and Bob will receive the request and answer. If Charlotte returns later, Alice and Bob will get Charlotte back up to speed on the latest changes.
Figure 1.4 ABC Data’s approach is designed to meet the scaling challenges that Robert encountered. CH01 F04 Ingram This setup is impressive, but because each request can lead to additional requests, you’re worried this system might get overwhelmed even easier than Robert’s. This, they tell you, is the beauty of their system. They take the data set and create multiple copies of it. They then divide this redundant data amongst themselves. If they need to expand, they only need to add additional people, who take over some of the existing slices of data. When a hypothetical fourth person, Diego, joins, one customer’s data might be owned by Alice, Charlotte, and Diego, whereas Bob, Charlotte, and Diego might own other data.
Because they allow you to choose how many people should respond internally for a successful request, ABC Data gives you control over availability and correctness. If you want to always have the most up-to-date data, you can require all three holders to respond. If you want to prioritize getting an answer, even if it isn’t the most recent one, you can require only one holder to respond. You can balance these properties by requiring two holders to respond — you can tolerate the loss of one, but you can ensure that a majority of them have seen the most up-to-date data, so you should get the most recent information.
Figure 1.5 ABC Data’s approach gives us control over availability and correctness. CH01 F05 Ingram You’ve learned about two imaginary databases here — one that seems straightforward but introduces complexity as requests grow, and another with a more complex implementation that attempts to handle the drawbacks of the first system. Before beginning to contemplate the awkwardness of telling a friend you’re leaving his business for a competitor, let’s snap back to reality and translate these hypothetical databases to the real world.
1.1.2 Real-world databases Robert’s database is a metaphorical relational database, such as PostgreSQL or MySQL. They’re relatively straightforward to run, fit a multitude of use cases, and are quite performant, and their relational data model has been used in practice for more than 50 years. Very often, a relational database is a safe and strong option. Accordingly, developers tend to default toward these systems. But, as demonstrated, they also have their drawbacks. Availability is often all-or-nothing. Even if you run with a read replica, which in Robert’s database would be his friend, Rosa, you would potentially only be able to do reads if you had lost your primary instance. Scalability can also be tricky – a server has a maximum amount of compute resources and memory. Once you hit that, you’re out of room to grow. It is through these drawbacks that ScyllaDB differentiates itself.
The ABC Data system is ScyllaDB. Like ABC Data, ScyllaDB is a distributed database that replicates data across its nodes to provide both scalability and fault tolerance. Scaling is straightforward – you add more nodes. This elasticity in node count extends to queries. ScyllaDB lets you decide how many replicas are required to respond for a successful query, giving your application room to handle the loss of a server.
1.1.3 Unpacking the definition ScyllaDB is commonly described as a distributed wide-column NoSQL database and is a rewrite of the popular Cassandra database, which, as you might imagine shares similar properties. This definition demonstrates how Scylla differentiates itself from other databases. It aims to be both more scalable than a relational database and more performant than Cassandra. This positioning is typified by ScyllaDB’s description as a NoSQL database. PostgreSQL and MySQL, as their names suggest, are classified as SQL databases. They use SQL (Structured Query Language) to query a relational database schema. NoSQL has become a catch-all term to describe databases that do not conform to this model. A broad array of databases fall under this model – from our ScyllaDB to document stores like MongoDB to “not-only SQL” databases like CockroachDB.
WHAT’S A WIDE-COLUMN DATABASE? ScyllaDB and Cassandra are often described as wide-column databases. In this type of database, data can be thought of as a multidimensional map or a key-key value store, where tables have columns, but aren’t required to have values for every column. These tables, or column families, as they’re also called in Cassandra, are stored together on disk. This approach contrasts with a columnar database, where a given column is stored together. The way I try to remember it is that columns can be arbitrarily wide, therefore, it’s a wide-column store.
NoSQL databases tend to emphasize scalability and fault tolerance over total correctness and accuracy of the data within the database, a property called consistency. This might sound like a ridiculous tradeoff, but you’ll get to examine it closely throughout the book. In practice, Scylla works to be eventually consistent, converging towards correctness over time. To achieve its desired scalability and fault tolerance, ScyllaDB runs multiple instances of itself within a cluster.
Figure 1.6 ScyllaDB is a distributed database that provides scalability and fault tolerance. CH01 F01 Ingram There is no overarching all-powerful leader; each node is just as important as any other node. Not only are there multiple nodes in the system, but data is distributed across all these nodes. ScyllaDB isn’t a distributed database because distributed systems are cool; it’s distributed because it was designed to make a more reliable and scalable database. If you distribute data across all nodes in a cluster, what happens if you lose one node? ScyllaDB stores multiple copies of the data, and by letting you choose how many replicas are required to respond to a query, picking any number fewer than the maximum lets the database tolerate node failure. This distribution also helps with scalability. If one node is taking a large amount of traffic, the rest of the cluster won’t be impacted. Requests that don’t hit our one heavily-trafficked node won’t be affected by any overburdening of another node. This fault tolerance is critical to ScyllaDB’s design. Instead of putting all of your eggs in one basket, you can have many eggs in many baskets. If you lose a basket, you still have lots of eggs!
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Ask a question, share an example, or respond to another reader. Start a thread by selecting any piece of text and clicking the discussion icon. Get ScyllaDB in Action 1.2 ScyllaDB, a distributed database ScyllaDB runs multiple nodes, making it a distributed system. By spreading its data across its deployment, it uses that to achieve its desired availability and consistency, which, when combined, differentiates the database from other systems.
1.2.1 Distributing data All distributed systems have a bar to meet: they must deliver enough value to overcome the introduced complexity. ScyllaDB, designed to be a distributed system, achieves its scalability and fault tolerance through this design.
When users write data to ScyllaDB, they start by contacting any node. Many systems follow a leader-follower topology, where one node is designated as a leader, giving it special responsibilities within the system. If the leader dies, a new leader is elected, and the system continues operating.
ScyllaDB does not follow this model; each node is as special as any other. Without a centralized coordinator deciding who stores what, each node must know where any given piece of data should be stored. Internally, Scylla can map a given key to the node that owns it, forwarding requests to the appropriate nodes.
To provide fault tolerance, ScyllaDB not only distributes data but replicates it across multiple nodes. The database stores a row in multiple locations – the amount depends upon the configured replication factor. In a perfect world, each node acknowledges every request instantly every time, but what happens if it doesn’t? To help with unexpected trouble, the database provides tunable consistency.
How you query data is dependent on what degree of consistency you’re looking to get. ScyllaDB is an eventually consistent database, and you perhaps will see inconsistent data as the system converges toward consistency. Developers must keep this eventual consistency in mind when working with the database. To facilitate the various needs of consistency, ScyllaDB provides a variety of consistency levels for queries, including those listed in table 1.1.
Table 1.1 Sample of consistency level options, assuming a three-node cluster Consistency level Description Number required to succeed Failures tolerated ALL
Requires all nodes to succeed
3
0
QUORUM
Requires a majority of replicas to succeed
2
1
ONE
Requires a single replica to succeed
1
2
With a consistency level of ALL, you can require that all replicas for a key acknowledge a query, but this setting harms availability. You can no longer tolerate the loss of a node. With a consistency level of ONE, you require a single replica for a key to acknowledge a query, but this greatly increases our chances of inconsistent results.
Luckily, some options aren’t as extreme. ScyllaDB lets you tune consistency via the concept of quorums. A quorum is when a group has a majority of members. Legislative bodies, such as the US Senate, do not operate when the number of members present is below the quorum threshold. When applied to ScyllaDB, you can achieve intermediate forms of consistency.
With a QUORUM consistency level, the database requires a majority of replicas for a key to acknowledge a query. If you have three replicas, two of them must accept every read and every write. If you lose one node, you can still rely on the other two to keep serving traffic. You additionally guarantee that a majority of our nodes get every update, making it much more challenging to read inconsistent data if you follow the same quorum consistency.
Once you have picked our consistency level, you know how many replicas we need to execute a successful query. A client sends a request to a node, which serves as the coordinator for that query. Our coordinator node reaches out to the replicas for the given key, including itself if it is a replica. Those replicas return results to the coordinator, and the coordinator evaluates them according to our consistency. If it finds the result satisfies the consistency requirements, it returns the result to the caller.
The CAP theorem classifies distributed systems by saying that they cannot provide all three of these properties – consistency, availability, and network partition tolerance, as seen in figure 1.7. Consistency is a measure of correctness. For the CAP theorem’s purposes, we define consistency as every request reading the most recent write. Availability is whether the system can serve requests, and network partition tolerance is the ability to handle a disconnected node.
Figure 1.7 The CAP theorem says a database can only provide two of three properties — consistency, availability, and partition tolerance. ScyllaDB is classified as an AP system. CH01 F09 Ingram A distributed system must have partition tolerance, so it ultimately chooses between consistency and availability. If a system is consistent, it must be impossible to read inconsistent data. To achieve consistency, it must ensure that all nodes receive all necessary copies of data. This requirement means it cannot tolerate the loss of a node, therefore losing availability.
ScyllaDB is classified as an AP system. When encountered with a network partition, it chooses to sacrifice consistency and maintain availability. You can see this in its design – ScyllaDB repeatedly makes choices, via quorums and eventual consistency, to keep the system up and running in exchange for potentially weaker consistency. By emphasizing availability, you see one of ScyllaDB’s differentiators against other databases.
1.2.2 ScyllaDB versus relational databases I’ve introduced ScyllaDB by describing its features in comparison with relational databases, but we’ll examine in closer detail here the differences. Relational databases such as PostgreSQL and MySQL are the standard for data storage in software applications, and they’re almost always the default choice for a new developer looking to build an application. Relational databases are a very strong option for many use cases, but that doesn’t mean they’re a strong option for every use case.
ScyllaDB is a distributed NoSQL wide-column store. By distributing data across a cluster, ScyllaDB unlocks better availability when nodes go awry than a single-node all-or-nothing relational database. PostgreSQL and MySQL can run in a distributed mode, but that is either powered through extensions or newer storage engines and not the primary native mode of the database. This distribution is native to ScyllaDB and the bedrock of its design.
By running as a distributed system, ScyllaDB empowers horizontal scalability. Many relational databases are only vertically scalable – you can only add more resources by running it on a bigger server. With horizontal scalability, you can add additional nodes to a system to increase its capacity. ScyllaDB supports this expansion; administrators can add more nodes, and the cluster will rebalance itself, offloading data to the new cluster member.
ScyllaDB does not provide a relational database’s ACID (atomicity, consistency, isolation, and durability) guarantees, instead opting for a softer model called BASE (Basic Availability, Soft-state, and Eventual consistency), where the database has basic availability and is eventually consistent. This decision leads to faster writes than a relational database, which has to validate the consistency of the database after every write, whereas ScyllaDB only needs to save the write since it doesn’t promise that degree of correctness. The tradeoff, though, is that developers need to consider ScyllaDB’s weaker consistency.
ACID VS BASE ACID provides a set of guarantees for transactions, one or more statements applied to a database. When developers refer to a transaction in a database, they are almost always referring to ACID transactions. ACID provides:
Atomicity - All statements in the transaction succeed together or fail together. Consistency - The database is in a valid state after every transaction Isolation - A transaction cannot interfere with a concurrently executing transaction Durability - Any change in a transaction will be persisted. I like to think of ACID as how you would expect a database to run. You want a consistent database, and you’d like your writes to be durable.
ScyllaDB provides a softer set of guarantees called BASE. Softer isn’t bad though; it’s these guarantees that let ScyllaDB more easily provide scalability and fault tolerance. BASE provides:
Basic availability - The database is basically available. Some portions of the database might be down, but overall, the system is available. Soft state - Every node in the database doesn’t have to be consistent at every moment in time. Eventually consistent - The database will be consistent at some moment in time. While I remain convinced that the designer of BASE named the property “soft state” to make the acronym work, it does accurately describe ScyllaDB’s benefits. It can tolerate the loss of a node and remain available, but to do this, it has to weaken consistency. Nevertheless, it should strive and converge toward consistency. We’ll discuss in further chapters these properties, how they affect ScyllaDB and your usage of it, and how the system’s architecture provides them.
Ultimately, ScyllaDB versus relational databases is a foundational and philosophical decision. They operate so differently and provide such varying guarantees to their clients that picking one over the other has large effects on an application. If you’re looking for availability and scalability in your database, ScyllaDB is a strong option.
1.2.3 ScyllaDB versus Cassandra ScyllaDB is a rewrite of Apache Cassandra. It is frequently described as “a more performant Cassandra” or “Cassandra but in C++”. ScyllaDB is designed to be compatible with Cassandra: it uses a compatible API, query language, on-disk storage format, and hash ring architecture. Like Cassandra, but better, is ScyllaDB’s goal; it makes some improvements to accomplish this.
The choice of language in the rewrite immediately unlocks better performance. Cassandra is written in Java, which leverages a garbage collector to perform memory management. Because objects get loaded into memory, at some point, they will need to be removed. Java’s garbage collection algorithms handle this removal, but it comes at the cost of compute. Time spent garbage collecting is time Cassandra can’t spend executing queries. If garbage collection reaches a certain threshold, the Java Virtual Machine will pause all execution for a brief time while it cleans up memory, referred to as a “stop the world” pause. Even if it’s just for milliseconds, that pause can be painful to clients. Although Java exposes many configuration knobs and improves the garbage collector with each release, it’s a tax that all Java-based applications have to pay.
ScyllaDB avoids this tax because it is implemented in C++, which requires manual memory management. By having full control of memory allocation and cleanup, ScyllaDB doesn’t need to let a garbage collector perform this functionality on an application-wide scale. It avoids “stop the world” pauses and can dedicate its compute time to executing queries.
ScyllaDB’s biggest architectural difference is its shard-per-core architecture (figure 1.8). Both Cassandra and ScyllaDB shard a data set across its various nodes via placement in a hash ring, which you’ll learn more about in chapter 3. ScyllaDB takes this further by leveraging the Seastar framework (https://seastar.io/) to shard data within a node, splitting it up per CPU-core and giving each shard its own CPU, memory, and network bandwidth allocation.
Figure 1.8 ScyllaDB shards data not only within the cluster, but also within each instance. CH01 F07 Ingram This sharding further limits the blast radius due to hot traffic patterns – the damage is limited to just that shard on that node. Cassandra does not follow this paradigm, however, and limits the sharding to only per node. If a data partition gets a large amount of requests, it can overwhelm the node, leading to cluster-wide struggles.
Performance justifies the rewrite. Both in benchmarks (https://thenewstack.io/benchmarking-apache-cassandra-40-nodes-vs-scylladb-4-nodes/) and in the wild (https://discord.com/blog/how-discord-stores-trillions-of-messages), ScyllaDB is faster, more consistent, and requires fewer servers to operate than Cassandra.
1.2.4 ScyllaDB versus Amazon Aurora / Google Cloud Spanner / Google AlloyDB I’ve lumped a few similar systems together here – Amazon Aurora, Google Cloud Spanner, and Google AlloyDB. They can be generally described as scalable cloud-hosted databases. They aim to take a relational data model and provide greater scalability than out-of-the-box PostgreSQL or MySQL. This effort accentuates a need in the market for scalable databases, showing the value of ScyllaDB.
These systems have two related drawbacks – vendor lock-in and cost. As cloud providers provide these databases, they run in only that specific vendor’s cloud environment. We can’t run Google Cloud Spanner in Amazon Web Services. If your application is heavily dependent on one of these systems, there can be a high engineering cost if you decide to switch cloud providers. If you’re not using that provider (or any provider), these options aren’t even on the table for you. And by using a cloud provider, companies pay money for these services. Operating and maintaining a database is challenging (which is partly why you’re reading this book), and although these cloud vendors provide solutions to make it potentially simpler, that can get quite expensive for clients. Of course, operating a database yourself can also be costly.
ScyllaDB, however, can be run anywhere. Companies are running it on-premises or within various cloud providers. It provides a scalable and fault-tolerance database that you can take to any hosting solution.
1.2.5 ScyllaDB versus document stores I’m not talking about Google Drive here, but instead, databases that store unstructured documents by a given key, such as MongoDB. These systems support querying these documents, allowing users to access arbitrary document fields without defining a database schema.
ScyllaDB eschews this flexibility to provide (relatively) predictable performance. By requiring users to define their schema up front, it clarifies to both users and the system how data is distributed across the cluster. By forcing users to query data in patterns that match this distribution, ScyllaDB can limit the number of nodes involved in a query, preventing surprisingly expensive queries.
Document stores, on the other hand, tend to bias toward initial ease of use. In MongoDB, no schema definition is required, but users still need to consider the design of their data to query it effectively. MongoDB runs as a distributed system, but unlike ScyllaDB, it doesn’t out-of-the-box attempt to minimize inefficient queries that hit more than the expected number of nodes, leading to potential performance surprises.
In the CAP theorem, MongoDB is a CP (consistent and partition-tolerant) system. Writes require the presence of a primary node and are blocked until a new primary is elected in the event of a network partition. ScyllaDB, however, prioritizes availability, keeping the system up and relying on its tunable consistency.
1.2.6 ScyllaDB versus distributed relational databases One interesting development for databases over the past few years has been the growth of distributed transactional databases. These systems — such as CockroachDB, TiDB, and YugabyteDB — focus on improving the availability of a traditional relational database like PostgreSQL while still offering strong consistency. In the CAP theorem’s classifications, they’re CP systems; they prefer consistency over availability. By emphasizing correctness, they need a quorum of nodes to respond to successfully complete a query; if quorum is lost, the database loses availability. ScyllaDB, however, provides tunable consistency to dodge this problem. By allowing weaker consistency levels, such as ONE, Scylla can handle a greater loss of availability to preserve functionality.
In a relational database, writes are the computationally intensive operation. The database needs to validate its consistency on every write. Scylla, on the other hand, skips this verification, opting for speed and simplicity when writing data. The tradeoff, however, is that reads in Scylla will be slower than writes, as you need to gather data from multiple nodes, that have data stored in different places on disk. You’ll learn a lot more about this behavior in later chapters, but the big takeaway is that writes in Scylla will be faster than in these systems.
1.2.7 When to prefer other databases I’ve described ScyllaDB’s benefits relative to other databases, but sometimes, I admit, it’s not the best tool for the job. I can’t describe it as a unique database because of the Cassandra rewrite approach, but it does trade operational and design complexity for more graceful failure modes. Choosing Scylla requires you to design applications differently and adds more complexity than something like a cloud-hosted PostgreSQL server. If you don’t need ScyllaDB’s horizontal scalability and nuanced availability, the increased operational overhead might not be worth it. If your application is small, makes few requests, and isn’t expected to grow over time, ScyllaDB might be overkill. A database backing comments on your blog probably doesn’t need a ScyllaDB cluster, unless, like many of us, you wanting that as an excuse to try it out.
Operating and maintaining a ScyllaDB cluster isn’t a hands-off exercise. If you can’t dedicate time to operating and maintaining a cluster, that is another signal that a managed offering might be preferable for you. Teams must choose wisely about how they spend their time and their money on what they do; choosing a less hands-on is a valid decision.
One thing you’ll see about Scylla in upcoming chapters is that, with data modeling, it can be inflexible to change your database’s design. Adding new query patterns that don’t fit in with your initial design can be challenging. While there are ways to work around it, other databases can potentially give you more flexibility when you’re in the prototyping and learning stage of building features for an application.
Lastly, some use cases might prefer a stronger transactional model like ACID. If you’re working with financial data, you probably want to use a relational database so that you can have isolation in your operations. One popular example to demonstrate the importance of ACID transactions is concurrent access to bank accounts. Without isolation, you run the risk of concurrent operations causing a mismatch between how much money the database thinks you have and how much money you actually have. Accountants traditionally prefer accuracy in these areas, so you might prefer a relational database when working with something that needs stronger database transactions. While scaling a relational database has its challenges, they might be preferable to take on than surrendering ACID’s guarantees.
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Update your profile, view your dashboard, tweak the text size, or turn on dark mode. 1.3 ScyllaDB, a practical database We’ve talked about what exactly ScyllaDB is, and its differences with other systems, but how does it run in practice? In this section, we’ll look at it as a real, deployed system and show that ScyllaDB isn’t just a distributed database, but a practical one too.
1.3.1 Fault tolerance If you’re on-call for a database, you want it to handle failures gracefully to avoid the dreaded 3 AM alert and to have a night of undisturbed rest. ScyllaDB is designed to be a fault-tolerant database to give you a good night’s sleep. Through its tunable consistency model, it is capable of surviving spontaneous downtime without any effect on queries. By leveraging quorum consistency, not every node needs to be up and running to serve traffic. A server can crash and if the underlying hardware self-recovers, the ScyllaDB process can start, rejoin the cluster, receive any data it missed, and return to serving traffic, with you asleep and none the wiser.
That recovery process simplifies complicated operations. When a ScyllaDB node perishes, other nodes in the cluster perform a process called hinted handoff. When nodes need to replicate data to the downed node, they locally save a “hint” instead. When the downed node recovers, nodes with hints resend them to the recovered node, allowing it to replay missed writes and become consistent with the rest of the cluster.
If for some unfortunate reason, a node is unable to recover, we don’t need to execute a complicated operation like restoring from backups. We can provision a new node and tell the cluster that our new node is a replacement for the old node. Because ScyllaDB replicates data across the cluster, our new node takes the place of the old node, and other replicas stream data to it until the node has caught up and joined the cluster, serving traffic.
1.3.2 Scalability Whether you’re hitting the limits of your existing data store, or handling growth is important to you, scalability is one of the prime reasons people choose ScyllaDB. Thankfully, in ScyllaDB, scalability is straightforward – you add more nodes! Even with terabytes of data, adding a node should take no more than a few hours.
Similar to when you replace a node in the cluster, adding a node involves joining the cluster, signing up for what slices of data the node will own, and then receiving data from other replicas until the node is caught up. While this bootstrapping process is limited to one node at a time, it is a simple operation to execute.
1.3.3 Used in production Software developers tend to be conservative in their choice of data store, and with good reason: a database is the base for all of your data. A database might meet all of the requirements, but it’s scary to be the only one running something. As a field, software development moves forward as more people use things, discovering bugs and finding pain points and solutions to them. A big question you’ll frequently hear when considering a less-ubiquitous solution: “Does anyone actually use this thing?”
Yes! ScyllaDB is a database used in real-life production systems and is growing in popularity. Several companies use it today:
Discord stores their trillions of messages inside ScyllaDB Epic Games uses ScyllaDB as a cache for binary assets Comcast stores DVR data for their X1 cable platform in ScyllaDB They’ve built systems that leverage Scylla because they want a scalable and fault-tolerant database. Each of these use cases involves highly distributed reads serving important functionality to their systems.
As a reader of this book, you might be considering building a similar system using ScyllaDB. My goal is to get to that point by the end of this book – by learning how to structure schemas, query the database, and operate it, you will gain the knowledge to go off and build your own system. I’ve spent a lot of time introducing ScyllaDB – let’s dive in and query the thing!
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You can automatically highlight by performing the text selection while keeping the alt/ key pressed. 1.4 Summary ScyllaDB is a distributed NoSQL database compatible with Apache Cassandra’s API. ScyllaDB distributes data across multiple nodes to provide horizontal scalability and fault tolerance. ScyllaDB provides tunable consistency to allow users to adjust their desired data consistency and fault tolerance thresholds. sitemap add to cart for $47.99 $33.59 (pdf + ePub + kindle + liveBook )
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ScyllaDB in Action Welcome 1 Introducing ScyllaDB 1.1 ScyllaDB, a different database 1.1.1 Hypothetical databases 1.1.2 Real-world databases 1.1.3 Unpacking the definition 1.2 ScyllaDB, a distributed database 1.2.1 Distributing data 1.2.2 ScyllaDB versus relational databases 1.2.3 ScyllaDB versus Cassandra 1.2.4 ScyllaDB versus Amazon Aurora / Google Cloud Spanner / Google AlloyDB 1.2.5 ScyllaDB versus document stores 1.2.6 ScyllaDB versus distributed relational databases 1.2.7 When to prefer other databases 1.3 ScyllaDB, a practical database 1.3.1 Fault tolerance 1.3.2 Scalability 1.3.3 Used in production 1.4 Summary 2 Touring ScyllaDB 3 Data Modeling in ScyllaDB 4 Data Types in ScyllaDB 5 Tables in ScyllaDB Up next… 2 Touring ScyllaDB Running ScyllaDB locally with Docker Using nodetool to view operational details of the cluster at the command line Creating a table and reading and writing data Experimenting with failures and changing consistency levels