--- title: "matrixone vs rushdb" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/matrixorigin-matrixone-vs-rush-db-rushdb" tools: ["matrixorigin-matrixone", "rush-db-rushdb"] --- # matrixone vs rushdb *GraphCanon updated Aug 23, 2026* ## Verdict Pick matrixone if matrixOne is designed for AI-native projects needing hybrid transactional and analytical processing capabilities with integrated vector search and Git-for-Data options; 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. [matrixone](https://docs.matrixorigin.cn/mo/en/) reports 1.9k GitHub stars, 308 forks, and 654 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 [matrixone's repository](https://github.com/matrixorigin/matrixone) and [rushdb's repository](https://github.com/rush-db/rushdb). | | [matrixone](/tools/matrixorigin-matrixone.md) | [rushdb](/tools/rush-db-rushdb.md) | | --- | --- | --- | | Tagline | AI-native HTAP database with Git-for-Data and built-in vector search | Graph and vector database for AI agents with zero schema required | | Stars | 1,879 | 321 | | Forks | 308 | 25 | | Open issues | 654 | 19 | | Language | Go | TypeScript | | Adopt for | MatrixOne is designed for AI-native projects needing hybrid transactional and analytical processing capabilities with integrated vector search and Git-for-Data options. | 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 | AI Agents, Data & Retrieval, Vector Databases | AI Agents, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [matrixone](/tools/matrixorigin-matrixone.md) | [rushdb](/tools/rush-db-rushdb.md) | | --- | --- | --- | | Open issues (now) | 654 | 19 | | Stars delta | +18 (30d) | +2 (30d) | | Open issues delta | -97 (30d) | +1 (30d) | | Full report | [trust report](/tools/matrixorigin-matrixone/trust.md) | [trust report](/tools/rush-db-rushdb/trust.md) | ## Decision facts: matrixone - **Adopt for:** MatrixOne is designed for AI-native projects needing hybrid transactional and analytical processing capabilities with integrated vector search and Git-for-Data options. ## 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 matrixone if… - matrixone is primarily Go; rushdb is TypeScript. - Tags unique to matrixone: agents, ai-native, cloud-native, distributed-database. - Also covers Data & Retrieval. - When you require an HTAP solution that also supports efficient integration of AI components like vector searches within a database environment ### Choose rushdb if… - rushdb is primarily TypeScript; matrixone is Go. - Tags unique to rushdb: ai-agents, embeddings, graph-database, neo4j. - You require a memory layer for your AI agent that integrates seamlessly with TypeScript-based applications ## When NOT to use matrixone - When the primary focus is on operations that do not benefit from vector search capabilities, as this might add unnecessary overhead - In scenarios where maintaining multiple data versions using Git-like features for each transaction or query significantly impacts performance ## 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 matrixone and rushdb? matrixone: AI-native HTAP database with Git-for-Data and built-in vector search. 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 matrixone over rushdb? Choose matrixone over rushdb when matrixone is primarily Go; rushdb is TypeScript; Tags unique to matrixone: agents, ai-native, cloud-native, distributed-database; Also covers Data & Retrieval; When you require an HTAP solution that also supports efficient integration of AI components like vector searches within a database environment. ### When should I choose rushdb over matrixone? Choose rushdb over matrixone when rushdb is primarily TypeScript; matrixone is Go; Tags unique to rushdb: ai-agents, embeddings, graph-database, neo4j; You require a memory layer for your AI agent that integrates seamlessly with TypeScript-based applications. ### When should I avoid matrixone? When the primary focus is on operations that do not benefit from vector search capabilities, as this might add unnecessary overhead In scenarios where maintaining multiple data versions using Git-like features for each transaction or query significantly impacts performance ### 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 matrixone or rushdb more popular on GitHub? matrixone has more GitHub stars (1,879 vs 321). Stars measure visibility, not whether either tool fits your constraints. ### Are matrixone and rushdb open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to matrixone or rushdb? GraphCanon lists graph-backed alternatives at [matrixone alternatives](/tools/matrixorigin-matrixone/alternatives) and [rushdb alternatives](/tools/rush-db-rushdb/alternatives) ([matrixone markdown twin](/tools/matrixorigin-matrixone/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/matrixorigin-matrixone-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, matrixone or rushdb? matrixone: 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 matrixone and rushdb? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [matrixone trust report](/tools/matrixorigin-matrixone/trust); [rushdb trust report](/tools/rush-db-rushdb/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=matrixorigin-matrixone`](/api/graphcanon/graph?tool=matrixorigin-matrixone) - 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/_