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ArangoDB
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TLDR: ArangoDB, introduced in 2012, is a multi-model NoSQL database designed to handle a variety of data types, including key-value, document, and graph models. Its native query language, AQL (Arango Query Language), combines the flexibility of SQL with graph traversal capabilities, enabling advanced use cases such as real-time data analytics, recommendation engines, and fraud detection. ArangoDB is optimized for scalability and performance, supporting applications in industries like finance, retail, and healthcare.
ArangoDB offers hybrid and cloud database capabilities, with built-in clustering, role-based access control, and encryption for secure deployments. The platform eliminates the need for multiple database systems by natively managing a variety of data models, simplifying operations and reducing infrastructure costs. Its support for programming terms such as Python, Java, and C Sharp ensures seamless integration into modern software ecosystems, making it a powerful choice for developers building scalable, data-driven solutions.
https://github.com/arangodb/arangodb
https://en.wikipedia.org/wiki/ArangoDB
- Snippet from Wikipedia: ArangoDB
ArangoDB is a graph database system developed by ArangoDB Inc. ArangoDB is a multi-model database system since it supports three data models (graphs, JSON documents, key/value) with one database core and a unified query language AQL (ArangoDB Query Language). AQL is mainly a declarative language and allows the combination of different data access patterns in a single query.
ArangoDB is a NoSQL database system but AQL is similar in many ways to SQL, it uses RocksDB as a storage engine.
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