Comparison
pgvector vs vearch
pgvector (Open-source vector similarity search for Postgres) vs vearch (Distributed vector search for AI-native applications) - live GitHub stats and typed graph relationships, not marketing.
Markdown twin · pgvector alternatives · vearch alternatives
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Tagline
- pgvector
- Open-source vector similarity search for Postgres
- vearch
- Distributed vector search for AI-native applications
Stars
- pgvector
- 22k
- vearch
- 2.3k
Forks
- pgvector
- 1.2k
- vearch
- 362
Open issues
- pgvector
- 14
- vearch
- 170
Language
- pgvector
- C
- vearch
- Go
Adopt for
- pgvector
- <ul><li><strong>Open-source vector similarity search:</strong> pgvector extends PostgreSQL for exact and approximate nearest neighbor search on various types of vectors.</li><li><strong>C-based library:</strong> Written,
- vearch
- Vearch is a cloud-native distributed vector database optimized for efficient similarity searches and scalar filtering in AI applications.
Persona
- pgvector
- -
- vearch
- -
Runtime
- pgvector
- -
- vearch
- -
License
- pgvector
- Other
- vearch
- Apache-2.0
Last pushed
- pgvector
- Jul 7, 2026
- vearch
- Jul 7, 2026
Categories
- pgvector
- Vector Databases
- vearch
- Data & Retrieval, Vector Databases
Trust and health
Days since push
- pgvector
- 0d
- vearch
- 1d
Open issues (now)
- pgvector
- 14
- vearch
- 170
Security scan
- pgvector
- No lockfile
- vearch
- 16 low (16 low)
Full report
- pgvector
- Trust report
- vearch
- Trust report
Typed relationship
pgvector alternative vearchBoth vearch and pgvector provide distributed and scalable vector similarity search functionalities, though they differ in their core technologies (PostgreSQL extension vs standalone solution).
Shared compatibility
- Python · pgvector: Python runtime · vearch: Python runtime
Choose pgvector if…
- pgvector is primarily C; vearch is Go.
- License: pgvector is Other, vearch is Apache-2.0.
- Both vearch and pgvector provide distributed and scalable vector similarity search functionalities, though they differ in their core technologies (PostgreSQL extension vs standalone solution).
- Tags unique to pgvector: approximate-nearest-neighbor-search, nearest-neighbor-search.
- pgvector ships Docker support for self-hosted deployment.
- You prefer an open-source solution for integrating vector similarity search with existing Postgres databases, offering ACID compliance and robust data management features.
When NOT to use pgvector
- You are working on Windows environments without access to C++ support tools required for native compilation; alternative installation methods like Docker might introduce additional setup complexity.
- Your project requires real-time search operations with extremely low latency that may not be fully satisfied by the PostgreSQL infrastructure underlying pgvector.
Choose vearch if…
- vearch is primarily Go; pgvector is C.
- License: vearch is Apache-2.0, pgvector is Other.
- Both vearch and pgvector provide distributed and scalable vector similarity search functionalities, though they differ in their core technologies (PostgreSQL extension vs standalone solution).
- Tags unique to vearch: embeddings, cloud-native, retrieval-augmented-generation, ai-native-database.
- Also covers Data & Retrieval.
- - When you need a robust, scalable solution that supports both vector search and scalar filtering.
When NOT to use vearch
- - Avoid Vearch if you require real-time search on unbounded datasets, given its focus on efficient similarity searches over pre-defined or limited datasets.
- - If your application primarily focuses on scalar data and rarely involves embedding vectors for similarity searches, another database solution might be more appropriate.
Explore
pgvector trust report →vearch trust report →Vector Databases category →Data & Retrieval category →All comparisonsStack workflowsTrending tools
Related comparisons
Common questions
- What is the difference between pgvector and vearch?
- pgvector: Open-source vector similarity search for Postgres. vearch: Distributed vector search for AI-native applications. See the comparison table for live GitHub stats and shared categories.
- When should I choose pgvector over vearch?
- Choose pgvector over vearch when pgvector is primarily C; vearch is Go; License: pgvector is Other, vearch is Apache-2.0; Both vearch and pgvector provide distributed and scalable vector similarity search functionalities, though they differ in their core technologies (PostgreSQL extension vs standalone solution); Tags unique to pgvector: approximate-nearest-neighbor-search, nearest-neighbor-search; pgvector ships Docker support for self-hosted deployment; You prefer an open-source solution for integrating vector similarity search with existing Postgres databases, offering ACID compliance and robust data management features.
- When should I choose vearch over pgvector?
- Choose vearch over pgvector when vearch is primarily Go; pgvector is C; License: vearch is Apache-2.0, pgvector is Other; Both vearch and pgvector provide distributed and scalable vector similarity search functionalities, though they differ in their core technologies (PostgreSQL extension vs standalone solution); Tags unique to vearch: embeddings, cloud-native, retrieval-augmented-generation, ai-native-database; Also covers Data & Retrieval; - When you need a robust, scalable solution that supports both vector search and scalar filtering.
- When should I avoid pgvector?
- You are working on Windows environments without access to C++ support tools required for native compilation; alternative installation methods like Docker might introduce additional setup complexity. Your project requires real-time search operations with extremely low latency that may not be fully satisfied by the PostgreSQL infrastructure underlying pgvector.
- When should I avoid vearch?
- - Avoid Vearch if you require real-time search on unbounded datasets, given its focus on efficient similarity searches over pre-defined or limited datasets. - If your application primarily focuses on scalar data and rarely involves embedding vectors for similarity searches, another database solution might be more appropriate.
- Is pgvector or vearch more popular on GitHub?
- pgvector has more GitHub stars (22,112 vs 2,317). Stars measure visibility, not whether either tool fits your constraints.
- Are pgvector and vearch open source?
- Yes - both are open-source projects on GitHub (pgvector: Other, vearch: Apache-2.0).
- Where can I find alternatives to pgvector or vearch?
- GraphCanon lists graph-backed alternatives at /tools/pgvector-pgvector/alternatives and /tools/vearch-vearch/alternatives (/tools/pgvector-pgvector/alternatives.md, /tools/vearch-vearch/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 /compare/pgvector-pgvector-vs-vearch-vearch.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, pgvector or vearch?
- pgvector: Very active. vearch: 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 pgvector and vearch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pgvector: /tools/pgvector-pgvector/trust; vearch: /tools/vearch-vearch/trust.