Comparison
matrixone vs milvus
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 milvus if milvus is a high-performance, cloud-native vector database for scalable vector ANN search, supporting various indexing techniques and built for cloud-native environments.
Markdown twin · matrixone alternatives · milvus alternatives
GraphCanon updated Sep 20, 2026
13views this month
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Trust & integrity
| Signal | matrixone | milvus |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Sep 18, 2026 · 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
- milvus
- Milvus is a high-performance, cloud-native vector database for scalable vector ANN search
Stars
- matrixone
- 1.9k
- milvus
- 46k
Forks
- matrixone
- 312
- milvus
- 4.3k
Open issues
- matrixone
- 763
- milvus
- 1.5k
Language
- matrixone
- Go
- milvus
- Go
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.
- milvus
- Milvus is a high-performance, cloud-native vector database for scalable vector ANN search, supporting various indexing techniques and built for cloud-native environments.
Persona
- matrixone
- -
- milvus
- -
Runtime
- matrixone
- -
- milvus
- -
License
- matrixone
- Apache-2.0
- milvus
- Milvus is licensed under the Apache-2.0 license.
Last pushed
- matrixone
- Sep 20, 2026
- milvus
- Sep 18, 2026
Categories
- matrixone
- AI Agents, Data & Retrieval, Vector Databases
- milvus
- Data & Retrieval, Vector Databases
Trust and health
Open issues (now)
- matrixone
- 763
- milvus
- 1.5k
Stars delta
- matrixone
- +27 (30d)
- milvus
- +750 (30d)
Open issues delta
- matrixone
- +12 (30d)
- milvus
- +303 (30d)
OSV dependency advisories
- matrixone
- No lockfile (source not queried)
- milvus
- Published findings
Full report
- matrixone
- Trust report
- milvus
- Trust report
Typed relationship
matrixone alternative milvusBoth MatrixOne and Milvus offer high-performance vector search capabilities, targeting similar applications but through distinct implementations.
Choose matrixone if…
- Both MatrixOne and Milvus offer high-performance vector search capabilities, targeting similar applications but through distinct implementations.
- Tags unique to matrixone: agents, ai-native, distributed-database, distributed-systems.
- 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 milvus if…
- Milvus is designed to be self-hosted and can be deployed in a cloud-native environment.
- Pricing: Milvus is free to use under the Apache-2.0 license, but additional services or support may come at a cost..
- Requirements: Min 4 GB RAM; Requires Docker; Third-party dependencies must be installed before using Milvus.; Milvus is built with Go and requires a Go environment to run..
- Both MatrixOne and Milvus offer high-performance vector search capabilities, targeting similar applications but through distinct implementations.
- Tags unique to milvus: anns, diskann, distributed, embedding-database.
- milvus ships Docker support for self-hosted deployment.
- When you need a high-performance vector database that supports scalable approximate nearest neighbor search.
When NOT to use milvus
- If your project does not require vector similarity search or approximate nearest neighbor search capabilities.
- When the project is not cloud-native and does not benefit from cloud-native optimizations.
- If the project's requirements are better met by a non-vector database or a different type of database.
- When the specific indexing techniques and performance characteristics of Milvus do not align with your project's needs.
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 Sep 20, 2026
- GitHub forks (matrixorigin/matrixone) · observed Sep 20, 2026
- Last push (matrixorigin/matrixone) · observed Sep 20, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (milvus-io/milvus) · observed Sep 20, 2026
- GitHub forks (milvus-io/milvus) · observed Sep 20, 2026
- Last push (milvus-io/milvus) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: matrixone 1.9k · milvus 46k (synced Sep 20, 2026).
Common questions
- What is the difference between matrixone and milvus?
- matrixone: AI-native HTAP database with Git-for-Data and built-in vector search. milvus: Milvus is a high-performance, cloud-native vector database for scalable vector ANN search. See the comparison table for live GitHub stats and shared categories.
- When should I choose matrixone over milvus?
- Choose matrixone over milvus when Both MatrixOne and Milvus offer high-performance vector search capabilities, targeting similar applications but through distinct implementations; Tags unique to matrixone: agents, ai-native, distributed-database, distributed-systems; 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 milvus over matrixone?
- Choose milvus over matrixone when Milvus is designed to be self-hosted and can be deployed in a cloud-native environment; Pricing: Milvus is free to use under the Apache-2.0 license, but additional services or support may come at a cost.; Requirements: Min 4 GB RAM; Requires Docker; Third-party dependencies must be installed before using Milvus.; Milvus is built with Go and requires a Go environment to run.; Both MatrixOne and Milvus offer high-performance vector search capabilities, targeting similar applications but through distinct implementations; Tags unique to milvus: anns, diskann, distributed, embedding-database; milvus ships Docker support for self-hosted deployment; When you need a high-performance vector database that supports scalable approximate nearest neighbor search.
- 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 milvus?
- If your project does not require vector similarity search or approximate nearest neighbor search capabilities. When the project is not cloud-native and does not benefit from cloud-native optimizations. If the project's requirements are better met by a non-vector database or a different type of database. When the specific indexing techniques and performance characteristics of Milvus do not align with your project's needs.
- Is matrixone or milvus more popular on GitHub?
- milvus has more GitHub stars (46,152 vs 1,888). Stars measure visibility, not whether either tool fits your constraints.
- Are matrixone and milvus open source?
- Yes - both are open-source projects on GitHub (matrixone: Apache-2.0, milvus: Apache-2.0).
- Where can I find alternatives to matrixone or milvus?
- GraphCanon lists graph-backed alternatives at matrixone alternatives and milvus alternatives (matrixone markdown twin, milvus 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 milvus?
- matrixone: Very active. milvus: 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 milvus?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: matrixone trust report; milvus trust report.