--- title: "arcadedb vs rushdb" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/arcadedata-arcadedb-vs-rush-db-rushdb" tools: ["arcadedata-arcadedb", "rush-db-rushdb"] --- # arcadedb vs rushdb *GraphCanon updated Aug 23, 2026* ## Verdict Pick arcadedb if use ArcadeDB if you require a multi-model database system supporting a variety of query languages and vector embeddings for AI applications; pick rushdb if rushDB is a graph plus vector database for AI agents running code in TypeScript, needing no schema or migrations but leveraging Neo4j underneath. [arcadedb](https://arcadedb.com) reports 1.1k GitHub stars, 134 forks, and 95 open issues, last pushed Aug 21, 2026. [rushdb](https://rushdb.com) has 321 stars, 25 forks, and 19 open issues, last pushed Aug 23, 2026. Figures are from public GitHub metadata via [arcadedb's repository](https://github.com/ArcadeData/arcadedb) and [rushdb's repository](https://github.com/rush-db/rushdb). | | [arcadedb](/tools/arcadedata-arcadedb.md) | [rushdb](/tools/rush-db-rushdb.md) | | --- | --- | --- | | Tagline | ArcadeDB Multi-Model Database supports Vector Embeddings | Graph and vector database for AI agents with zero schema required | | Stars | 1,096 | 321 | | Forks | 134 | 25 | | Open issues | 95 | 19 | | Language | Java | TypeScript | | Adopt for | Use ArcadeDB if you require a multi-model database system supporting a variety of query languages and vector embeddings for AI applications. | RushDB is a graph plus vector database for AI agents running code in TypeScript, needing no schema or migrations but leveraging Neo4j underneath. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | - | | Categories | Vector Databases | AI Agents, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [arcadedb](/tools/arcadedata-arcadedb.md) | [rushdb](/tools/rush-db-rushdb.md) | | --- | --- | --- | | Open issues (now) | 95 | 19 | | Stars delta | +61 (30d) | +2 (30d) | | Open issues delta | +24 (30d) | +1 (30d) | | Full report | [trust report](/tools/arcadedata-arcadedb/trust.md) | [trust report](/tools/rush-db-rushdb/trust.md) | ## Decision facts: arcadedb - **Adopt for:** Use ArcadeDB if you require a multi-model database system supporting a variety of query languages and vector embeddings for AI applications. ## Decision facts: rushdb - **Adopt for:** RushDB is a graph plus vector database for AI agents running code in TypeScript, needing no schema or migrations but leveraging Neo4j underneath. ## Choose when ### Choose arcadedb if… - arcadedb is primarily Java; rushdb is TypeScript. - Tags unique to arcadedb: arcadedb, database, dbms, distributed. - arcadedb ships Docker support for self-hosted deployment. - When building systems that need to support SQL, Cypher, Gremlin, HTTP/JSON, MongoDB, or Redis interfaces simultaneously. ### Choose rushdb if… - rushdb is primarily TypeScript; arcadedb is Java. - Tags unique to rushdb: ai-agents, embeddings, graph-database, neo4j. - Also covers AI Agents. - You require a memory layer for your AI agent that integrates seamlessly with TypeScript-based applications ## When NOT to use arcadedb - 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. ## When NOT to use rushdb - If you need full control over database schema migrations, as RushDB intentionally does not support this - For environments where the use of Neo4j underlying technology is restricted or not preferred ## Common questions ### What is the difference between arcadedb and rushdb? arcadedb: ArcadeDB Multi-Model Database supports Vector Embeddings. rushdb: Graph and vector database for AI agents with zero schema required. See the comparison table for live GitHub stats and shared categories. ### When should I choose arcadedb over rushdb? Choose arcadedb over rushdb when arcadedb is primarily Java; rushdb is TypeScript; Tags unique to arcadedb: arcadedb, database, dbms, distributed; arcadedb ships Docker support for self-hosted deployment; When building systems that need to support SQL, Cypher, Gremlin, HTTP/JSON, MongoDB, or Redis interfaces simultaneously. ### When should I choose rushdb over arcadedb? Choose rushdb over arcadedb when rushdb is primarily TypeScript; arcadedb is Java; Tags unique to rushdb: ai-agents, embeddings, graph-database, neo4j; Also covers AI Agents; You require a memory layer for your AI agent that integrates seamlessly with TypeScript-based applications. ### When should I avoid arcadedb? 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. ### When should I avoid rushdb? If you need full control over database schema migrations, as RushDB intentionally does not support this For environments where the use of Neo4j underlying technology is restricted or not preferred ### Is arcadedb or rushdb more popular on GitHub? arcadedb has more GitHub stars (1,096 vs 321). Stars measure visibility, not whether either tool fits your constraints. ### Are arcadedb and rushdb open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to arcadedb or rushdb? GraphCanon lists graph-backed alternatives at [arcadedb alternatives](/tools/arcadedata-arcadedb/alternatives) and [rushdb alternatives](/tools/rush-db-rushdb/alternatives) ([arcadedb markdown twin](/tools/arcadedata-arcadedb/alternatives.md), [rushdb markdown twin](/tools/rush-db-rushdb/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/arcadedata-arcadedb-vs-rush-db-rushdb.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, arcadedb or rushdb? arcadedb: Very active. rushdb: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for arcadedb and rushdb? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [arcadedb trust report](/tools/arcadedata-arcadedb/trust); [rushdb trust report](/tools/rush-db-rushdb/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=arcadedata-arcadedb`](/api/graphcanon/graph?tool=arcadedata-arcadedb) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_