{"data":{"slug":"arcadedata-arcadedb","name":"arcadedb","tagline":"ArcadeDB Multi-Model Database supports Vector Embeddings","github_url":"https://github.com/ArcadeData/arcadedb","owner":"ArcadeData","repo":"arcadedb","owner_avatar_url":"https://avatars.githubusercontent.com/u/32255470?v=4","primary_language":"Java","stars":1096,"forks":134,"topics":["arcadedb","database","dbms","distributed","docker","document","embedded","graph","k8s","key-value","kubernetes","multi-model","orientdb","search-engine","similarity-search","time-series","vector-database","vector-search"],"archived":false,"github_pushed_at":"2026-08-21T15:22:54+00:00","maintenance_label":"Very active","stars_delta_30d":61,"url":"https://www.graphcanon.com/tools/arcadedata-arcadedb","markdown_url":"https://www.graphcanon.com/tools/arcadedata-arcadedb.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/arcadedata-arcadedb","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=arcadedata-arcadedb","description":"ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.","homepage_url":"https://arcadedb.com","license":"Apache-2.0","open_issues":95,"watchers":15,"ai_summary":"A comprehensive DBMS that integrates SQL, Cypher, Gremlin, HTTP/JSON, MongoDB, and Redis interfaces. It offers support for vector embeddings enabling its use in AI applications.","readme_excerpt":"### Getting started in 5 minutes\n\nStart ArcadeDB Server with Docker:\n\n```\ndocker run --rm -p 2480:2480 -p 2424:2424 \\\n           -e JAVA_OPTS=\"-Darcadedb.server.rootPassword=playwithdata -Darcadedb.server.defaultDatabases=Imported[root]{import:https://github.com/ArcadeData/arcadedb-datasets/raw/main/orientdb/OpenBeer.gz}\" \\\n           arcadedata/arcadedb:latest\n```\n\nNow open your browser on http://localhost:2480 and play with [ArcadeDB Studio](https://docs.arcadedb.com/#studio) and the\nimported `OpenBeer` database to find your favorite beer.\n\n\n\nArcadeDB is cloud-ready with [Docker](https://docs.arcadedb.com/arcadedb/how-to/operations/install-docker) and [Kubernetes](https://docs.arcadedb.com/arcadedb/how-to/operations/kubernetes)\nsupport.\n\nYou can also [download the latest release](https://github.com/ArcadeData/arcadedb/releases), unpack it on your local hard drive and\nstart the server with `bin/server.sh` or `bin/server.bat` for Windows.\n\n---\n\n### License and Attribution\n\nArcadeDB is Free for any usage and licensed under the liberal [Open Source Apache 2 license](LICENSE). We are committed to remaining\n**Open Source Forever** — see our [Governance](GOVERNANCE.md) for the structural guarantees that make this more than a promise. If\nyou need commercial support, or you need to have an issue fixed ASAP, check our [pricing page](https://arcadedb.com/pricing.html).\n\nFor third-party attributions and copyright notices, see:\n\n- [NOTICE](NOTICE) - Required legal attributions\n- [ATTRIBUTIONS.md](ATTRIBUTIONS.md) - Detailed third-party acknowledgments\n- [LICENSE](LICENSE) - Full license text\n- [GOVERNANCE.md](GOVERNANCE.md) - License guarantee and project governance","github_created_at":"2021-08-16T16:01:29+00:00","created_at":"2026-07-07T17:44:45.194161+00:00","updated_at":"2026-08-21T18:02:01.599629+00:00","categories":[{"slug":"vector-databases","name":"Vector Databases","url":"https://www.graphcanon.com/categories/vector-databases","markdown_url":"https://www.graphcanon.com/categories/vector-databases.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/vector-databases"}],"tags":[{"slug":"arcadedb","name":"arcadedb"},{"slug":"database","name":"database"},{"slug":"dbms","name":"dbms"},{"slug":"distributed","name":"distributed"},{"slug":"docker","name":"docker"},{"slug":"document","name":"document"},{"slug":"embedded","name":"embedded"},{"slug":"graph","name":"graph"}],"trust":{"provenance":{"is_fork":false,"github_id":396867188,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-21T18:02:00.767Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":5,"days_since_push":0,"last_release_at":"2026-08-03T21:15:22Z","stars_delta_30d":61,"open_issues_delta_30d":24},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:26:35.085Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"mcp":{"source":"repo_scan","observed_at":"2026-08-21T18:02:01.242Z","server_manifest":false},"scan":{"source":"repo_scan","observed_at":"2026-08-21T18:02:01.242Z"},"deploy":{"source":"dockerfile:docker-compose.yml","self_host":true,"observed_at":"2026-08-21T18:02:01.242Z","managed_saas":false},"languages":{"value":["java"],"source":"github.language","observed_at":"2026-08-21T18:02:01.242Z"},"has_docker":{"value":true,"source":"dockerfile:docker-compose.yml","observed_at":"2026-08-21T18:02:01.242Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-08-21T18:02:01.242Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When building systems that need to support SQL, Cypher, Gremlin, HTTP/JSON, MongoDB, or Redis interfaces simultaneously.","For projects requiring direct support for vector embeddings integrated into its native operations without additional configurations."],"when_not_to_use":["If your project strictly requires the specific functionalities and history of OrientDB that ArcadeDB may not fully replicate despite being a conceptual fork.","When you need a database system that exclusively focuses on one model, as ArcadeDB's multi-model nature might introduce complexity without necessary benefits."],"source":"enrich:decision_facts","observed_at":"2026-07-14T20:03:57.620Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Use ArcadeDB if you require a multi-model database system supporting a variety of query languages and vector embeddings for AI applications."}]}}