Multi-Model Databases with Graph Support

These databases offer graph capabilities alongside document, key-value, or relational models, providing flexibility to store and access diverse data structures in one engine. They are ideal for use cases where graph data must be joined or queried alongside JSON documents, tabular data, or key-value pairs. Developers benefit from reduced complexity and better consistency when working with hybrid data applications. These tools often offer SQL-like or multi-query language support.

Tools:

• ArangoDB – A multi-model database supporting graph, document, and key-value data models with AQL (Arango Query Language). Excellent for handling hybrid data types and complex joins across models.

• OrientDB – A multi-model platform combining graph, document, object, and key-value stores with SQL-like syntax. Known for its flexibility and ACID compliance, making it suitable for transactional graph use cases.

• Microsoft Azure Cosmos DB (Gremlin API) – A globally distributed NoSQL database that supports graph queries via Apache TinkerPop’s Gremlin API. Integrates tightly with other Azure services and is optimized for latency and global distribution.