Comparison
matrixone vs postgresml
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.
Markdown twin · matrixone alternatives · postgresml alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | matrixone | postgresml |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (412d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 3d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- matrixone
- AI-native HTAP database with Git-for-Data and built-in vector search
- postgresml
- Postgres with GPUs for ML/AI apps
Stars
- matrixone
- 1.9k
- postgresml
- 6.8k
Forks
- matrixone
- 308
- postgresml
- 365
Open issues
- matrixone
- 654
- postgresml
- 149
Language
- matrixone
- Go
- postgresml
- Rust
Adopt for
- matrixone
- MatrixOne is designed for AI-native projects needing hybrid transactional and analytical processing capabilities with integrated vector search and Git-for-Data options.
- postgresml
- PostgresML offers PostgreSQL with GPU acceleration for ML, distinguishing by its support of embedding operations directly into SQL queries.
Persona
- matrixone
- -
- postgresml
- -
Runtime
- matrixone
- -
- postgresml
- -
License
- matrixone
- Apache-2.0
- postgresml
- MIT
Last pushed
- matrixone
- Aug 21, 2026
- postgresml
- Jul 1, 2025
Categories
- matrixone
- AI Agents, Data & Retrieval, Vector Databases
- postgresml
- Data & Retrieval, Model Training, Vector Databases
Trust and health
Maintenance
- matrixone
- Very active (96%)
- postgresml
- Dormant (18%)
Days since push
- matrixone
- 0d
- postgresml
- 412d
Open issues (now)
- matrixone
- 654
- postgresml
- 149
Stars delta
- matrixone
- +18 (30d)
- postgresml
- +3 (30d)
Open issues delta
- matrixone
- -97 (30d)
- postgresml
- 0 (30d)
Full report
- matrixone
- Trust report
- postgresml
- Trust report
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
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
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 postgresml
- Teams not utilizing or unwilling to migrate to PostgreSQL databases
- Applications where GPU access is limited, thus constraining ML capabilities
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (matrixorigin/matrixone) · observed Aug 21, 2026
- GitHub forks (matrixorigin/matrixone) · observed Aug 21, 2026
- Last push (matrixorigin/matrixone) · observed Aug 21, 2026
- License file (Apache-2.0) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (postgresml/postgresml) · observed Aug 18, 2026
- GitHub forks (postgresml/postgresml) · observed Aug 18, 2026
- Last push (postgresml/postgresml) · observed Jul 1, 2025
- License file (MIT) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: matrixone 1.9k · postgresml 6.8k (synced Aug 21, 2026).
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 and postgresml alternatives (matrixone markdown twin, postgresml markdown twin), 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 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; postgresml trust report.