Comparison
vectordb vs infinity
Verdict
Pick vectordb if vectordb is an open-source vector database management system ideal for high-performance neural search and embedding storage; pick infinity if designed for high-speed hybrid searches in LLM applications, infinity supports dense vector, sparse vector, tensor, and full-text data types.
Markdown twin · vectordb alternatives · infinity alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | vectordb | infinity |
|---|---|---|
| Maintenance | Slowing (265d since push) As of 4d · github_public_v1 | Very active (3d since push) As of 5d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Organization account As of 5d · 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
- vectordb
- High performance Vector Database Management System
- infinity
- AI-native database for LLM applications offering fast hybrid search capabilities.
Stars
- vectordb
- 875
- infinity
- 4.7k
Forks
- vectordb
- 46
- infinity
- 437
Open issues
- vectordb
- 16
- infinity
- 64
Language
- vectordb
- C++
- infinity
- C++
Adopt for
- vectordb
- vectordb is an open-source vector database management system ideal for high-performance neural search and embedding storage.
- infinity
- Designed for high-speed hybrid searches in LLM applications, infinity supports dense vector, sparse vector, tensor, and full-text data types.
Persona
- vectordb
- -
- infinity
- -
Runtime
- vectordb
- -
- infinity
- -
License
- vectordb
- GPL-3.0
- infinity
- Apache-2.0
Last pushed
- vectordb
- Nov 29, 2025
- infinity
- Aug 17, 2026
Categories
- vectordb
- Data & Retrieval, Vector Databases
- infinity
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- vectordb
- Slowing (36%)
- infinity
- Very active (96%)
Days since push
- vectordb
- 265d
- infinity
- 3d
Open issues (now)
- vectordb
- 16
- infinity
- 64
Stars delta
- vectordb
- 0 (30d)
- infinity
- +51 (30d)
Open issues delta
- vectordb
- 0 (30d)
- infinity
- -2 (30d)
Full report
- vectordb
- Trust report
- infinity
- Trust report
Shared compatibility
- Python · vectordb: Python runtime · infinity: Python runtime
Choose vectordb if…
- License: vectordb is GPL-3.0, infinity is Apache-2.0.
- Tags unique to vectordb: ai, chatgpt, data-science, embeddings.
- If you require C++-based integration within your project, vectordb provides a native option that ensures seamless operation without the need for additional language bindings or adapters.
When NOT to use vectordb
- If your application demands proprietary technologies and you wish to avoid open-source software, vectordb's GPL-3.0 licensing terms may pose a limitation.
- Avoid using vectordb in environments where alternative languages to C++ are preferred or required for consistency with the existing codebase.
Choose infinity if…
- License: infinity is Apache-2.0, vectordb is GPL-3.0.
- Tags unique to infinity: ai-native, approximate-nearest-neighbor-search, bm25, cpp20.
- When your application requires rapid hybrid search capabilities across multiple data types including tensors and full texts.
When NOT to use infinity
- If your project does not benefit from fast hybrid search features or if you prefer not to use an AI-native database solution.
- When support for only dense vectors is sufficient, and the added complexity of supporting tensors and full texts is unnecessary.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (epsilla-cloud/vectordb) · observed Aug 21, 2026
- GitHub forks (epsilla-cloud/vectordb) · observed Aug 21, 2026
- Last push (epsilla-cloud/vectordb) · observed Nov 29, 2025
- License file (GPL-3.0) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (infiniflow/infinity) · observed Aug 21, 2026
- GitHub forks (infiniflow/infinity) · observed Aug 21, 2026
- Last push (infiniflow/infinity) · observed Aug 17, 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 on cards: vectordb 875 · infinity 4.7k (synced Aug 21, 2026).
Common questions
- What is the difference between vectordb and infinity?
- vectordb: High performance Vector Database Management System. infinity: AI-native database for LLM applications offering fast hybrid search capabilities.. See the comparison table for live GitHub stats and shared categories.
- When should I choose vectordb over infinity?
- Choose vectordb over infinity when License: vectordb is GPL-3.0, infinity is Apache-2.0; Tags unique to vectordb: ai, chatgpt, data-science, embeddings; If you require C++-based integration within your project, vectordb provides a native option that ensures seamless operation without the need for additional language bindings or adapters.
- When should I choose infinity over vectordb?
- Choose infinity over vectordb when License: infinity is Apache-2.0, vectordb is GPL-3.0; Tags unique to infinity: ai-native, approximate-nearest-neighbor-search, bm25, cpp20; When your application requires rapid hybrid search capabilities across multiple data types including tensors and full texts.
- When should I avoid vectordb?
- If your application demands proprietary technologies and you wish to avoid open-source software, vectordb's GPL-3.0 licensing terms may pose a limitation. Avoid using vectordb in environments where alternative languages to C++ are preferred or required for consistency with the existing codebase.
- When should I avoid infinity?
- If your project does not benefit from fast hybrid search features or if you prefer not to use an AI-native database solution. When support for only dense vectors is sufficient, and the added complexity of supporting tensors and full texts is unnecessary.
- Is vectordb or infinity more popular on GitHub?
- infinity has more GitHub stars (4,675 vs 875). Stars measure visibility, not whether either tool fits your constraints.
- Are vectordb and infinity open source?
- Yes - both are open-source projects on GitHub (vectordb: GPL-3.0, infinity: Apache-2.0).
- Where can I find alternatives to vectordb or infinity?
- GraphCanon lists graph-backed alternatives at vectordb alternatives and infinity alternatives (vectordb markdown twin, infinity 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, vectordb or infinity?
- vectordb: Slowing. infinity: 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 vectordb and infinity?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: vectordb trust report; infinity trust report.