Arangodb

ArangoDB is a multi-model database supporting document, graph, and key-value data in a single engine with a unified query language (AQL). The multi-model approach means agents that need both document storage (like MongoDB) and graph traversal (like Neo4j) can use one database system rather than maintaining separate databases. The HTTP REST API provides full CRUD and query operations accessible from any HTTP client without a specialized driver.

The REST API covers databases, collections, documents, indexes, graphs, and AQL queries. Agents can store and retrieve JSON documents, execute graph traversals across relationship edges, perform full-text search, and run complex AQL queries that combine document filters with graph path operations in a single query. The Foxx microservices framework enables server-side JavaScript logic within the database.

Authentication uses JWT tokens or basic auth for the REST API. ArangoDB provides database-level and collection-level access control. The REST API authentication is straightforward for programmatic agent access. Teams deploying ArangoDB should secure the REST API endpoint with TLS and appropriate network isolation.

Reliability for self-hosted ArangoDB is the team's operational responsibility. ArangoDB provides cluster mode (sharding and replication) for high-availability deployments. ArangoGraph (the managed cloud service) provides managed availability. The multi-model architecture means a single system to operate rather than separate document and graph databases.

Documentation covers the REST API, AQL query language, and graph features comprehensively. The AQL documentation is essential for understanding the unified query model that spans document and graph operations. Teams evaluating ArangoDB should compare the multi-model convenience against the specialized performance of dedicated document databases (MongoDB) and graph databases (Neo4j) for their specific workload mix.