azure_database

Azure Database Services
Azure Database Services
Azure Database Services (Additional)

Azure Database Services

Azure SQL Database, introduced in 2010, is a fully managed relational database service built on Microsoft SQL Server. It offers scalability, high availability, and built-in intelligence to optimize performance. It supports advanced security features like Advanced Threat Protection and encryption.

https://learn.microsoft.com/en-us/azure/azure-sql

Azure Cosmos DB, launched in 2017, is a globally distributed, multi-model NoSQL database service. It provides low-latency, high-availability data storage with support for APIs like SQL, MongoDB, Cassandra, Gremlin, and Table.

https://learn.microsoft.com/en-us/azure/cosmos-db

Azure Database for MySQL, introduced in 2017, is a managed database service designed for open-source MySQL databases. It supports features such as built-in high availability, scalability, and automated backups, making it ideal for modern applications.

https://learn.microsoft.com/en-us/azure/mysql

Azure Database for PostgreSQL, launched in 2017, is a fully managed service for PostgreSQL databases. It offers high availability, performance scaling, and advanced features like Hyperscale (Citus).

https://learn.microsoft.com/en-us/azure/postgresql

Azure Database for MariaDB, introduced in 2018, provides a managed MariaDB database service with enterprise-grade security, scalability, and performance. It supports flexible pricing models and ensures data durability with automated backups.

https://learn.microsoft.com/en-us/azure/mariadb

Azure SQL Managed Instance, launched in 2018, is a fully managed version of Microsoft SQL Server offering PaaS capabilities. It combines the benefits of a SQL Server environment with managed infrastructure and seamless migration options.

https://learn.microsoft.com/en-us/azure/azure-sql/managed-instance

Azure Synapse Analytics, formerly Azure SQL Data Warehouse, was introduced in 2019. It integrates big data and data warehousing for advanced analytics, offering scalability and machine learning integration.

https://learn.microsoft.com/en-us/azure/synapse-analytics

Azure Cache for Redis, launched in 2014, is a managed Redis service for caching and real-time analytics. It supports scenarios like session storage, message brokering, and content caching.

https://learn.microsoft.com/en-us/azure/azure-cache-for-redis

Azure Data Lake Storage, introduced in 2016, provides scalable and secure data lake capabilities optimized for big data analytics. It supports multiple programming languages and integrates with Apache Spark and Hadoop.

https://learn.microsoft.com/en-us/azure/data-lake-storage

Azure SQL Edge, launched in 2020, is an optimized database engine designed for IoT and edge computing scenarios. It supports offline capabilities, low-latency processing, and AI integration for real-time insights.

https://learn.microsoft.com/en-us/azure/azure-sql-edge

Azure Database Services (Additional)

Azure Data Explorer, introduced in 2018, is a fast and highly scalable data analytics service designed for real-time and log analytics. It supports KQL (Kusto Query Language) for querying large volumes of structured, semi-structured, and unstructured data.

https://learn.microsoft.com/en-us/azure/data-explorer

Azure SQL Data Sync, launched in 2012, enables synchronization of data between Azure SQL Databases and on-premises or other cloud databases. It supports bidirectional and hub-spoke configurations, ensuring data consistency across environments.

https://learn.microsoft.com/en-us/azure/azure-sql/database/sql-data-sync

Azure Event Hubs, introduced in 2014, is a big data streaming platform and event ingestion service. It provides reliable data capture from multiple sources and integrates seamlessly with databases and analytics services like Azure Cosmos DB and Azure Synapse Analytics.

https://learn.microsoft.com/en-us/azure/event-hubs

Azure Purview, launched in 2021, is a unified data governance service that helps discover, catalog, and manage data stored across various Azure database services and external sources. It ensures compliance and data lineage tracking for enterprise data.

https://learn.microsoft.com/en-us/azure/purview

Azure Database Migration Service, introduced in 2017, simplifies the migration of databases to Azure SQL Database, Azure SQL Managed Instance, and other Azure database offerings. It supports migrations from on-premises and other cloud environments.

https://learn.microsoft.com/en-us/azure/dms

Azure Elastic Database Pools, launched in 2015, allow management of multiple databases within a single Azure SQL Database environment. It optimizes cost and performance by sharing resources across databases dynamically.

https://learn.microsoft.com/en-us/azure/azure-sql/database/elastic-pool

Azure Table Storage, introduced in 2010, is a NoSQL key-value storage solution optimized for structured data. It provides high availability, scalability, and integration with other Azure services for applications requiring massive storage capabilities.

https://learn.microsoft.com/en-us/azure/storage/tables

Azure Data Factory, launched in 2015, is a cloud-based ETL and data integration service. It facilitates data movement and transformation across various data stores, including Azure databases and on-premises systems.

https://learn.microsoft.com/en-us/azure/data-factory

Azure Managed Instance for Apache Cassandra, introduced in 2020, offers a managed service for Apache Cassandra. It provides a scalable and cost-effective environment with integration into the broader Azure ecosystem for enhanced analytics and operations.

https://learn.microsoft.com/en-us/azure/cosmos-db/cassandra

Azure Blob Storage, launched in 2008, is a scalable object storage solution that integrates with Azure databases for data archiving, backups, and analytics. It is optimized for unstructured data like documents, images, and videos.

https://learn.microsoft.com/en-us/azure/storage/blobs

Azure Stream Analytics, introduced in 2015, is a real-time stream processing service that integrates with Azure Event Hubs and Azure Data Explorer. It enables low-latency analytics and supports SQL-like queries for processing streaming data.

https://learn.microsoft.com/en-us/azure/stream-analytics

Azure HDInsight, launched in 2013, is a managed, full-spectrum analytics service supporting popular frameworks like Apache Hadoop, Spark, and Hive. It is designed for big data processing and analysis at scale.

https://learn.microsoft.com/en-us/azure/hdinsight

Azure Database for Apache Cassandra, introduced in 2020, offers a fully managed NoSQL database solution. It provides compatibility with Apache Cassandra APIs and supports global distribution with low-latency reads and writes.

https://learn.microsoft.com/en-us/azure/cosmos-db/cassandra

Azure Logic Apps, launched in 2016, simplifies workflow automation and integrates seamlessly with databases, enabling real-time data integration and synchronization across cloud and on-premises environments.

https://learn.microsoft.com/en-us/azure/logic-apps

Azure Backup, introduced in 2013, provides data protection for Azure-based and on-premises resources, ensuring secure backup and recovery for databases like Azure SQL Database and Azure Blob Storage.

https://learn.microsoft.com/en-us/azure/backup

Azure Monitor, launched in 2018, is a service for collecting and analyzing performance and diagnostic data from Azure databases and other resources. It supports proactive monitoring and integrates with Log Analytics for deeper insights.

https://learn.microsoft.com/en-us/azure/azure-monitor

Azure Data Share, introduced in 2019, is a secure data sharing service that allows organizations to share their databases and datasets with external partners in a controlled and compliant manner.

https://learn.microsoft.com/en-us/azure/data-share

Azure Analysis Services, launched in 2016, provides enterprise-grade data modeling and analytics capabilities. It supports complex data models and connects seamlessly to Azure databases for generating insights.

https://learn.microsoft.com/en-us/azure/analysis-services

Azure Managed Databases for Redis, introduced in 2022, is a fully managed Redis service that ensures high throughput and low latency for caching and session management scenarios.

https://learn.microsoft.com/en-us/azure/azure-cache-for-redis

Azure Arc-enabled Data Services, launched in 2021, extends Azure management and data services like Azure SQL Managed Instance and PostgreSQL to on-premises and multi-cloud environments.

https://learn.microsoft.com/en-us/azure/azure-arc/data-services

Azure Virtual Machines for SQL Server, introduced in 2010, provides pre-configured virtual machines optimized for running Microsoft SQL Server. It enables high flexibility for database customization, scalability, and on-premises-like control in the cloud.

https://learn.microsoft.com/en-us/azure/virtual-machines/sql

Azure Storage Queue, launched in 2009, is a messaging service that enables asynchronous communication between application components. It integrates with databases to manage background tasks and event-driven workflows.

https://learn.microsoft.com/en-us/azure/storage/queues

Azure Search, introduced in 2015, is a managed search-as-a-service offering. It enables rich text search and indexing for Azure databases, combining full-text search capabilities with AI-powered analytics.

https://learn.microsoft.com/en-us/azure/search

Azure Logic SQL Database Integration, launched in 2016, simplifies workflows by allowing Azure Logic Apps to directly interact with Azure SQL Database for real-time data processing and automation.

https://learn.microsoft.com/en-us/azure/logic-apps/logic-apps-using-sql

Azure Synapse Link, introduced in 2020, integrates operational and analytical databases for near real-time insights. It enables seamless movement of data from services like Azure Cosmos DB to Azure Synapse Analytics for analytics.

https://learn.microsoft.com/en-us/azure/synapse-analytics/synapse-link

Azure Reserved Instances for Databases, launched in 2017, offers cost savings for database workloads by allowing users to prepay for Azure database services, such as Azure SQL Database and Azure Database for MySQL.

https://learn.microsoft.com/en-us/azure/cost-management-billing/reservations

Azure SQL Stretch Database, introduced in 2016, extends on-premises databases to the cloud. It enables storage of historical data in Azure SQL Database while keeping frequently accessed data on-premises, optimizing costs and performance.

https://learn.microsoft.com/en-us/sql/sql-server/stretch-database

Azure Data Catalog, launched in 2015, is a metadata management service that helps users discover and organize data assets stored across Azure databases and other data sources.

https://learn.microsoft.com/en-us/azure/data-catalog

Azure Import/Export Service, introduced in 2013, facilitates the secure transfer of large amounts of data to and from Azure databases using physical storage devices. It is ideal for initial database migrations or archiving.

https://learn.microsoft.com/en-us/azure/storage/common/storage-import-export-service

Azure DevOps Database Integration, launched in 2018, streamlines database deployment and management by integrating Azure DevOps pipelines with Azure database services, enabling continuous integration and delivery for database solutions.

https://learn.microsoft.com/en-us/azure/devops

Azure SQL Ledger, introduced in 2021, enhances Azure SQL Database with blockchain-based capabilities. It allows users to maintain cryptographically verifiable records for auditing and ensuring data integrity.

https://learn.microsoft.com/en-us/azure/azure-sql/ledger

Azure Files, launched in 2014, is a fully managed file-sharing service that integrates with Azure databases. It enables seamless storage of application logs, backups, and file-based datasets.

https://learn.microsoft.com/en-us/azure/storage/files

Azure Automation, introduced in 2013, provides automation workflows for managing Azure databases. It supports the scheduling of tasks like database backup, restoration, and maintenance through runbooks.

https://learn.microsoft.com/en-us/azure/automation

Azure Storage Explorer, launched in 2016, is a standalone application that allows users to interact with Azure storage resources, including tables and blobs linked to databases, for efficient data management.

https://learn.microsoft.com/en-us/azure/vs-azure-tools-storage-manage-with-storage-explorer

Azure Cognitive Search, introduced in 2016, integrates advanced search capabilities into Azure databases. It leverages AI-powered features for knowledge mining and document indexing.

https://learn.microsoft.com/en-us/azure/search

Azure Sentinel, launched in 2019, is a cloud-native SIEM that provides analytics and threat detection for Azure databases. It enables proactive database security monitoring and integrates with Log Analytics.

https://learn.microsoft.com/en-us/azure/sentinel

Azure Event Grid, introduced in 2017, facilitates event-driven architecture for Azure databases. It ensures seamless integration and notification delivery for database changes and triggers.

https://learn.microsoft.com/en-us/azure/event-grid

Azure Resource Manager Templates, launched in 2014, enable the deployment and management of Azure database environments using Infrastructure as Code. They allow repeatable and consistent database provisioning.

https://learn.microsoft.com/en-us/azure/azure-resource-manager/templates

Azure Data Box, introduced in 2018, provides secure offline data transfer to Azure databases. It is ideal for large-scale migrations or periodic uploads of data sets to Azure environments.

https://learn.microsoft.com/en-us/azure/databox

Azure Virtual Desktop for Database Management, launched in 2020, offers a virtualized desktop environment tailored for database administration tasks. It provides secure access to Azure-hosted databases for remote teams.

https://learn.microsoft.com/en-us/azure/virtual-desktop

Azure Security Center Integration for Databases, introduced in 2016, offers continuous monitoring and advanced threat protection for Azure databases. It enables centralized visibility into database vulnerabilities and compliance.

https://learn.microsoft.com/en-us/azure/security-center

Azure NetApp Files, launched in 2019, is a high-performance file storage service for demanding database workloads. It supports shared file systems optimized for Azure databases requiring low-latency and high-throughput storage.

https://learn.microsoft.com/en-us/azure/azure-netapp-files

Azure Database Restore Services, introduced in 2015, provides point-in-time restore capabilities for Azure databases, ensuring data recovery and continuity in case of data loss or corruption.

https://learn.microsoft.com/en-us/azure/azure-sql/database/automated-backups-overview

Azure Custom Vision, launched in 2017, integrates with Azure databases to provide AI-powered insights and tagging for image data stored within databases. It enhances image processing and classification use cases.

https://learn.microsoft.com/en-us/azure/cognitive-services/custom-vision-service

Azure Data Marketplace, introduced in 2011, enables organizations to buy, sell, and share datasets. It integrates with Azure databases for seamless data consumption and analytics applications.

https://learn.microsoft.com/en-us/azure/data-marketplace

Azure Proximity Placement Groups, launched in 2019, optimize network latency between Azure databases and compute resources, ensuring improved performance for latency-sensitive database applications.

https://learn.microsoft.com/en-us/azure/virtual-machines/proximity-placement-groups

Azure SQL Insights, introduced in 2021, provides advanced monitoring capabilities for Azure databases. It enables deep visibility into query performance, resource utilization, and anomalies.

https://learn.microsoft.com/en-us/azure/azure-monitor/sql-insights

Azure Data Explorer Integration with Power BI, launched in 2018, enables direct querying and visualization of large datasets from Azure Data Explorer into Power BI for business analytics and reporting.

https://learn.microsoft.com/en-us/power-bi/connect-data/service-azure-data-explorer-direct-query

Azure DevOps Integration for SQL Database, introduced in 2019, simplifies database CI/CD pipelines, enabling seamless integration of Azure databases into development workflows for automated testing and deployments.

https://learn.microsoft.com/en-us/azure/devops/

Azure Data Encryption for Rest and Transit, launched in 2015, ensures that data within Azure databases is encrypted both at rest and during transit, enhancing data security and compliance with regulatory requirements.

https://learn.microsoft.com/en-us/azure/security/fundamentals/encryption-model

Azure Monitor Logs for Databases, introduced in 2018, provides advanced log analytics for Azure databases, enabling users to query, visualize, and analyze logs for performance and security monitoring.

https://learn.microsoft.com/en-us/azure/azure-monitor/log-query/log-query-overview

Azure Virtual Machine Scale Sets, launched in 2016, supports database scalability by automatically scaling virtual machines hosting databases to handle varying workloads efficiently.

https://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets

Azure Application Insights, introduced in 2015, integrates with Azure databases to provide real-time telemetry, allowing developers to diagnose performance issues and optimize query execution.

https://learn.microsoft.com/en-us/azure/azure-monitor/app/app-insights-overview

Azure Database Capacity Planning Tool, launched in 2019, assists users in forecasting database resource requirements based on workload patterns, helping optimize performance and costs.

https://learn.microsoft.com/en-us/azure/azure-monitor/app/capacity-planning

Azure Stack HCI Integration for Databases, introduced in 2020, extends Azure database capabilities to on-premises environments, enabling hybrid cloud scenarios with consistent database management and operations.

https://learn.microsoft.com/en-us/azure-stack/hci/overview

Azure Data Lake Analytics, launched in 2016, allows scalable and distributed analytics on large datasets stored in Azure databases, enabling serverless data processing with U-SQL queries.

https://learn.microsoft.com/en-us/azure/data-lake-analytics

Azure Arc-enabled SQL Managed Instance, introduced in 2021, brings Azure SQL database management to any infrastructure, providing a consistent experience across multi-cloud and on-premises environments.

https://learn.microsoft.com/en-us/azure/azure-arc/sql-managed-instance

Azure Private Endpoint for Databases, launched in 2019, provides secure and private connections to Azure database services by utilizing private IPs within a virtual network.

https://learn.microsoft.com/en-us/azure/private-link/private-endpoint-overview

Azure SQL Database Edge Tiering, introduced in 2020, enables data processing at the edge for latency-critical applications, allowing local processing and synchronization with cloud-hosted databases.

https://learn.microsoft.com/en-us/azure/azure-sql-edge

Azure Resource Health for Databases, launched in 2017, offers real-time status monitoring and troubleshooting for Azure databases, helping users identify and resolve issues proactively.

https://learn.microsoft.com/en-us/azure/service-health/resource-health-overview

Table of Contents

Azure Database Services

Azure Database Services

Azure Database Services (Additional)