Comparison
databend vs milvus
Verdict
Pick databend if data Agent Ready Warehouse built in Rust for analytics, search, AI, and more within a unified architecture on top of your S3 storage; 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 · databend alternatives · milvus alternatives
GraphCanon updated Sep 20, 2026
20views this month
Trust & integrity
| Signal | databend | 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
- databend
- All-in-One Data Warehouse: Analytics, Search, AI, and Python Sandboxing Reimagined From Scratch.
- milvus
- Milvus is a high-performance, cloud-native vector database for scalable vector ANN search
Stars
- databend
- 9.4k
- milvus
- 46k
Forks
- databend
- 897
- milvus
- 4.3k
Open issues
- databend
- 510
- milvus
- 1.5k
Language
- databend
- Rust
- milvus
- Go
Adopt for
- databend
- Data Agent Ready Warehouse built in Rust for analytics, search, AI, and more within a unified architecture on top of your S3 storage.
- 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
- databend
- -
- milvus
- -
Runtime
- databend
- -
- milvus
- -
License
- databend
- Other
- milvus
- Milvus is licensed under the Apache-2.0 license.
Last pushed
- databend
- Sep 20, 2026
- milvus
- Sep 18, 2026
Categories
- databend
- Data & Retrieval, Vector Databases
- milvus
- Data & Retrieval, Vector Databases
Trust and health
Open issues (now)
- databend
- 510
- milvus
- 1.5k
Stars delta
- databend
- +55 (30d)
- milvus
- +750 (30d)
Open issues delta
- databend
- -24 (30d)
- milvus
- +303 (30d)
OSV dependency advisories
- databend
- No lockfile (source not queried)
- milvus
- Published findings
Full report
- databend
- Trust report
- milvus
- Trust report
Typed relationship
Choose databend if…
- databend is primarily Rust; milvus is Go.
- License: databend is Other, milvus is Apache-2.0.
- Databend and Milvus both offer vector search capabilities, but Databend integrates this feature within a broader data analysis and warehousing platform, whereas Milvus is primarily focused on being a high-performance cloud-native vector database.
- Tags unique to databend: ai, bigdata, database, elasticsearch.
- - When you need a unified data platform that can handle analytics, search, and AI all from one interface, with support for vector database functions.
When NOT to use databend
- - When specific integration requirements are outside of S3 support, as Databend focuses on this particular ecosystem.
- - For organizations that cannot or prefer not to use technologies built in Rust due to team expertise or existing tech stack conflicts.
- - If your primary need is for a solution that heavily integrates with Elasticsearch given the competitive landscape and features it offers.
Choose milvus if…
- milvus is primarily Go; databend is Rust.
- License: milvus is Apache-2.0, databend is Other.
- 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..
- Databend and Milvus both offer vector search capabilities, but Databend integrates this feature within a broader data analysis and warehousing platform, whereas Milvus is primarily focused on being a high-performance cloud-native vector database.
- 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 (databendlabs/databend) · observed Sep 20, 2026
- GitHub forks (databendlabs/databend) · observed Sep 20, 2026
- Last push (databendlabs/databend) · observed Sep 20, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 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: databend 9.4k · milvus 46k (synced Sep 20, 2026).
Common questions
- What is the difference between databend and milvus?
- databend: All-in-One Data Warehouse: Analytics, Search, AI, and Python Sandboxing Reimagined From Scratch.. 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 databend over milvus?
- Choose databend over milvus when databend is primarily Rust; milvus is Go; License: databend is Other, milvus is Apache-2.0; Databend and Milvus both offer vector search capabilities, but Databend integrates this feature within a broader data analysis and warehousing platform, whereas Milvus is primarily focused on being a high-performance cloud-native vector database; Tags unique to databend: ai, bigdata, database, elasticsearch; - When you need a unified data platform that can handle analytics, search, and AI all from one interface, with support for vector database functions.
- When should I choose milvus over databend?
- Choose milvus over databend when milvus is primarily Go; databend is Rust; License: milvus is Apache-2.0, databend is Other; 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.; Databend and Milvus both offer vector search capabilities, but Databend integrates this feature within a broader data analysis and warehousing platform, whereas Milvus is primarily focused on being a high-performance cloud-native vector database; 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 databend?
- - When specific integration requirements are outside of S3 support, as Databend focuses on this particular ecosystem. - For organizations that cannot or prefer not to use technologies built in Rust due to team expertise or existing tech stack conflicts. - If your primary need is for a solution that heavily integrates with Elasticsearch given the competitive landscape and features it offers.
- 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 databend or milvus more popular on GitHub?
- milvus has more GitHub stars (46,152 vs 9,444). Stars measure visibility, not whether either tool fits your constraints.
- Are databend and milvus open source?
- Yes - both are open-source projects on GitHub (databend: Other, milvus: Apache-2.0).
- Where can I find alternatives to databend or milvus?
- GraphCanon lists graph-backed alternatives at databend alternatives and milvus alternatives (databend 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, databend or milvus?
- databend: 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 databend and milvus?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: databend trust report; milvus trust report.