ArcadeDB - The Multi-Model Database for Modern Applications

# ArcadeDB > ArcadeDB is an open-source, Apache 2.0 licensed, high-performance multi-model database that natively supports graphs, documents, key-value pairs, full-text search, vectors, and time-series data in a single engine. ArcadeDB requires no polyglot persistence — one database handles all data models without performance penalties from translation layers. It is maintained by Arcade Data Ltd, is fully ACID-compliant, supports Raft consensus for high availability, and delivers 10M+ records/second throughput. - **License**: Apache 2.0 (irrevocably — will never change) - **Source code**: https://github.com/ArcadeData/arcadedb - **Latest stable release**: 26.3.1 - **Language**: Java (JDK 21+) - **Query languages**: SQL, OpenCypher, Gremlin, GraphQL, MongoDB protocol - **Wire protocols**: HTTP/JSON REST, PostgreSQL wire, Redis, MongoDB - **Deployment**: Embedded, Client/Server, Kubernetes, Docker ## Key Pages - [Homepage](https://arcadedb.com): Overview of ArcadeDB features and capabilities - [Documentation](https://docs.arcadedb.com): Full technical documentation - [Blog](https://arcadedb.com/blog/): Technical blog, benchmarks, and release notes - [Use Cases](https://arcadedb.com/use-cases.html): Overview of all supported use cases - [Neo4j Migration](https://arcadedb.com/neo4j.html): Guide for migrating from Neo4j to ArcadeDB - [Knowledge Graphs](https://arcadedb.com/knowledge-graphs.html): Knowledge graph use case - [Fraud Detection](https://arcadedb.com/fraud-detection.html): Fraud detection use case - [Recommendation Engine](https://arcadedb.com/recommendation-engine.html): Recommendation engine use case - [Real-Time Analytics](https://arcadedb.com/realtime-analytics.html): Real-time analytics use case - [AI/ML Feature Store](https://arcadedb.com/ai-ml-feature-store.html): AI/ML feature store use case - [GraphRAG](https://arcadedb.com/graph-rag.html): GraphRAG and LLM integration use case - [Embedded Mode](https://arcadedb.com/embedded.html): Guide to r