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Comparison

pgvector vs weaviate

Verdict

Pick pgvector if pgvector is an extension for PostgreSQL that enables efficient vector similarity search using various distance metrics, including L2, inner product, cosine distance, and L1 distance; pick weaviate if weaviate is an open-source vector database that supports vector search and structured filtering, offering fault tolerance and scalability. It supports deployment via Docker, Kubernetes, and cloud services.

Markdown twin · pgvector alternatives · weaviate alternatives

GraphCanon updated Sep 20, 2026

15views this month

pgvector logo

pgvector

pgvector/pgvector

★ 23kpushed Sep 10, 2026
vs
weaviate logo

weaviate

weaviate/weaviate

★ 17kpushed Sep 18, 2026

Trust & integrity

Signalpgvectorweaviate
Maintenance
Active (7d since push)
As of Sep 18, 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 18, 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 Sep 18, 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

pgvector
Open-source vector similarity search for Postgres
weaviate
An open-source vector database for vector search and structured filtering

Stars

pgvector
23k
weaviate
17k

Forks

pgvector
1.3k
weaviate
1.4k

Open issues

pgvector
16
weaviate
735

Language

pgvector
C
weaviate
Go

Adopt for

pgvector
pgvector is an extension for PostgreSQL that enables efficient vector similarity search using various distance metrics, including L2, inner product, cosine distance, and L1 distance.
weaviate
Weaviate is an open-source vector database that supports vector search and structured filtering, offering fault tolerance and scalability. It supports deployment via Docker, Kubernetes, and cloud services.

Persona

pgvector
-
weaviate
-

Runtime

pgvector
-
weaviate
-

License

pgvector
Other
weaviate
Other

Last pushed

pgvector
Sep 10, 2026
weaviate
Sep 18, 2026

Categories

pgvector
Vector Databases
weaviate
Data & Retrieval, Vector Databases

Trust and health

Maintenance

pgvector
Active (82%)
weaviate
Very active (96%)

Days since push

pgvector
7d
weaviate
0d

Open issues (now)

pgvector
16
weaviate
735

Stars delta

pgvector
+674 (30d)
weaviate
+138 (30d)

Open issues delta

pgvector
+2 (30d)
weaviate
+115 (30d)

OSV dependency advisories

pgvector
No lockfile (source not queried)
weaviate
Published findings

Full report

pgvector
Trust report
weaviate
Trust report

Typed relationship

pgvector alternative weaviateBoth pgvector and Weaviate are open-source tools designed for performing semantic search using vector databases, offering scalable solutions with distinct features and implementations.

Choose pgvector if…

  • pgvector is primarily C; weaviate is Go.
  • Both pgvector and Weaviate are open-source tools designed for performing semantic search using vector databases, offering scalable solutions with distinct features and implementations.
  • Tags unique to pgvector: c-language, docker-support, l2-distance, open-source.
  • When you need to perform vector similarity searches within a PostgreSQL database and require support for multiple distance metrics.

When NOT to use pgvector

  • If your application does not require the full feature set of PostgreSQL and you are looking for a lightweight solution specifically designed for vector similarity searches.
  • When you need real-time, low-latency vector similarity searches that might be better served by specialized vector databases or in-memory solutions.
  • If you are working in an environment where PostgreSQL is not supported or where you need to integrate with a different database system.
  • When you require a solution that supports more advanced indexing techniques or approximate nearest neighbor search algorithms that are not natively supported by pgvector.

Choose weaviate if…

  • weaviate is primarily Go; pgvector is C.
  • Both pgvector and Weaviate are open-source tools designed for performing semantic search using vector databases, offering scalable solutions with distinct features and implementations.
  • Tags unique to weaviate: grpc, hnsw, hybrid-search, image-search.
  • Also covers Data & Retrieval.
  • When you need a vector database that supports both vector search and structured filtering, as Weaviate uniquely combines these capabilities.

When NOT to use weaviate

  • If your project strictly requires a proprietary solution, Weaviate, being open-source under the BSD 3-Clause License, may not be the best fit.
  • If your application does not require vector search or structured filtering, Weaviate's specialized capabilities might be overkill.
  • For teams that prefer a different programming language, Weaviate is primarily developed in Go, which might not align with all development environments.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: pgvector 23k · weaviate 17k (synced Sep 20, 2026).

Common questions

What is the difference between pgvector and weaviate?
pgvector: Open-source vector similarity search for Postgres. weaviate: An open-source vector database for vector search and structured filtering. See the comparison table for live GitHub stats and shared categories.
When should I choose pgvector over weaviate?
Choose pgvector over weaviate when pgvector is primarily C; weaviate is Go; Both pgvector and Weaviate are open-source tools designed for performing semantic search using vector databases, offering scalable solutions with distinct features and implementations; Tags unique to pgvector: c-language, docker-support, l2-distance, open-source; When you need to perform vector similarity searches within a PostgreSQL database and require support for multiple distance metrics.
When should I choose weaviate over pgvector?
Choose weaviate over pgvector when weaviate is primarily Go; pgvector is C; Both pgvector and Weaviate are open-source tools designed for performing semantic search using vector databases, offering scalable solutions with distinct features and implementations; Tags unique to weaviate: grpc, hnsw, hybrid-search, image-search; Also covers Data & Retrieval; When you need a vector database that supports both vector search and structured filtering, as Weaviate uniquely combines these capabilities.
When should I avoid pgvector?
If your application does not require the full feature set of PostgreSQL and you are looking for a lightweight solution specifically designed for vector similarity searches. When you need real-time, low-latency vector similarity searches that might be better served by specialized vector databases or in-memory solutions. If you are working in an environment where PostgreSQL is not supported or where you need to integrate with a different database system. When you require a solution that supports more advanced indexing techniques or approximate nearest neighbor search algorithms that are not natively supported by pgvector.
When should I avoid weaviate?
If your project strictly requires a proprietary solution, Weaviate, being open-source under the BSD 3-Clause License, may not be the best fit. If your application does not require vector search or structured filtering, Weaviate's specialized capabilities might be overkill. For teams that prefer a different programming language, Weaviate is primarily developed in Go, which might not align with all development environments.
Is pgvector or weaviate more popular on GitHub?
pgvector has more GitHub stars (23,049 vs 16,819). Stars measure visibility, not whether either tool fits your constraints.
Are pgvector and weaviate open source?
Yes - both are open-source projects on GitHub (pgvector: Other, weaviate: Other).
Where can I find alternatives to pgvector or weaviate?
GraphCanon lists graph-backed alternatives at pgvector alternatives and weaviate alternatives (pgvector markdown twin, weaviate 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, pgvector or weaviate?
pgvector: Active. weaviate: 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 weaviate?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pgvector trust report; weaviate trust report.

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