--- title: "matrixone vs postgresml" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/matrixorigin-matrixone-vs-postgresml-postgresml" tools: ["matrixorigin-matrixone", "postgresml-postgresml"] --- # matrixone vs postgresml *GraphCanon updated Aug 21, 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 postgresml if postgresML offers PostgreSQL with GPU acceleration for ML, distinguishing by its support of embedding operations directly into SQL queries. [matrixone](https://docs.matrixorigin.cn/mo/en/) reports 1.9k GitHub stars, 308 forks, and 654 open issues, last pushed Aug 21, 2026. [postgresml](https://postgresml.org) has 6.8k stars, 365 forks, and 149 open issues, last pushed Jul 1, 2025. Figures are from public GitHub metadata via [matrixone's repository](https://github.com/matrixorigin/matrixone) and [postgresml's repository](https://github.com/postgresml/postgresml). | | [matrixone](/tools/matrixorigin-matrixone.md) | [postgresml](/tools/postgresml-postgresml.md) | | --- | --- | --- | | Tagline | AI-native HTAP database with Git-for-Data and built-in vector search | Postgres with GPUs for ML/AI apps | | Stars | 1,879 | 6,817 | | Forks | 308 | 365 | | Open issues | 654 | 149 | | Language | Go | Rust | | 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. | PostgresML offers PostgreSQL with GPU acceleration for ML, distinguishing by its support of embedding operations directly into SQL queries. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Data & Retrieval, Vector Databases | Data & Retrieval, Model Training, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [matrixone](/tools/matrixorigin-matrixone.md) | [postgresml](/tools/postgresml-postgresml.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 412d | | Open issues (now) | 654 | 149 | | Stars delta | +18 (30d) | +3 (30d) | | Open issues delta | -97 (30d) | 0 (30d) | | Full report | [trust report](/tools/matrixorigin-matrixone/trust.md) | [trust report](/tools/postgresml-postgresml/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: postgresml - **Adopt for:** PostgresML offers PostgreSQL with GPU acceleration for ML, distinguishing by its support of embedding operations directly into SQL queries. ## Choose when ### Choose matrixone if… - matrixone is primarily Go; postgresml is Rust. - License: matrixone is Apache-2.0, postgresml is MIT. - Tags unique to matrixone: agents, ai-native, cloud-native, distributed-database. - Also covers AI Agents. - When you require an HTAP solution that also supports efficient integration of AI components like vector searches within a database environment ### Choose postgresml if… - postgresml is primarily Rust; matrixone is Go. - License: postgresml is MIT, matrixone is Apache-2.0. - Tags unique to postgresml: ai, ann, approximate-nearest-neighbor-search, classification. - Also covers Model Training. - Requires integration of machine learning tasks directly within PostgreSQL queries ## 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 postgresml - Teams not utilizing or unwilling to migrate to PostgreSQL databases - Applications where GPU access is limited, thus constraining ML capabilities ## Common questions ### What is the difference between matrixone and postgresml? matrixone: AI-native HTAP database with Git-for-Data and built-in vector search. postgresml: Postgres with GPUs for ML/AI apps. See the comparison table for live GitHub stats and shared categories. ### When should I choose matrixone over postgresml? Choose matrixone over postgresml when matrixone is primarily Go; postgresml is Rust; License: matrixone is Apache-2.0, postgresml is MIT; Tags unique to matrixone: agents, ai-native, cloud-native, distributed-database; Also covers AI Agents; 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 postgresml over matrixone? Choose postgresml over matrixone when postgresml is primarily Rust; matrixone is Go; License: postgresml is MIT, matrixone is Apache-2.0; Tags unique to postgresml: ai, ann, approximate-nearest-neighbor-search, classification; Also covers Model Training; Requires integration of machine learning tasks directly within PostgreSQL queries. ### 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 postgresml? Teams not utilizing or unwilling to migrate to PostgreSQL databases Applications where GPU access is limited, thus constraining ML capabilities ### Is matrixone or postgresml more popular on GitHub? postgresml has more GitHub stars (6,817 vs 1,879). Stars measure visibility, not whether either tool fits your constraints. ### Are matrixone and postgresml open source? Yes - both are open-source projects on GitHub (matrixone: Apache-2.0, postgresml: MIT). ### Where can I find alternatives to matrixone or postgresml? GraphCanon lists graph-backed alternatives at [matrixone alternatives](/tools/matrixorigin-matrixone/alternatives) and [postgresml alternatives](/tools/postgresml-postgresml/alternatives) ([matrixone markdown twin](/tools/matrixorigin-matrixone/alternatives.md), [postgresml markdown twin](/tools/postgresml-postgresml/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-postgresml-postgresml.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, matrixone or postgresml? matrixone: Very active. postgresml: Dormant. 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 postgresml? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [matrixone trust report](/tools/matrixorigin-matrixone/trust); [postgresml trust report](/tools/postgresml-postgresml/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/_