Home/Compare/cuvs vs pgvector

Comparison

cuvs vs pgvector

Verdict

Pick cuvs if cuVS is a CUDA-based library for efficient GPU-accelerated vector search and clustering; pick pgvector if pgvector extends PostgreSQL with efficient vector similarity searches.

Markdown twin · cuvs alternatives · pgvector alternatives

GraphCanon updated today

cuvs logo

cuvs

NVIDIA/cuvs

810pushed Jul 11, 2026
vs
pgvector logo

pgvector

pgvector/pgvector

22kpushed Jul 11, 2026

Trust & integrity

Signalcuvspgvector
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

cuvs
A library for vector search and clustering on the GPU
pgvector
Open-source vector similarity search for Postgres

Stars

cuvs
810
pgvector
22k

Forks

cuvs
210
pgvector
1.2k

Open issues

cuvs
645
pgvector
14

Language

cuvs
Cuda
pgvector
C

Adopt for

cuvs
cuVS is a CUDA-based library for efficient GPU-accelerated vector search and clustering.
pgvector
pgvector extends PostgreSQL with efficient vector similarity searches.

Persona

cuvs
-
pgvector
-

Runtime

cuvs
-
pgvector
-

License

cuvs
Apache-2.0
pgvector
Other

Last pushed

cuvs
Jul 11, 2026
pgvector
Jul 11, 2026

Categories

cuvs
Vector Databases
pgvector
Vector Databases

Trust and health

Open issues (now)

cuvs
645
pgvector
14

Full report

pgvector
Trust report

Choose cuvs if…

  • cuvs is primarily Cuda; pgvector is C.
  • License: cuvs is Apache-2.0, pgvector is Other.
  • Tags unique to cuvs: clustering, anns, sparse, gpu.
  • - When you need high-performance vector operations leveraging the parallel processing power of GPUs, specifically with CUDA.

When NOT to use cuvs

  • - For environments where GPU resources are limited or unavailable because cuVS heavily relies on CUDA's capabilities for performance gains.
  • - When you prioritize portability across different hardware, as cuVS being tied to CUDA means it may not be optimal on non-NVIDIA GPUs or CPU-only systems.

Choose pgvector if…

  • pgvector is primarily C; cuvs is Cuda.
  • License: pgvector is Other, cuvs is Apache-2.0.
  • Tags unique to pgvector: approximate-nearest-neighbor-search, nearest-neighbor-search.
  • When you need to perform approximate nearest neighbor or exact nearest neighbor searches on your vectors and prefer to keep the data within a PostgreSQL database.

When NOT to use pgvector

  • When the requirement is to have a standalone in-memory or distributed vector database system as pgvector remains strictly integrated with PostgreSQL.
  • For scenarios where high availability and clustering capabilities without manual intervention (beyond what standard PostgreSQL offers) are necessary.
  • If the application's performance benefits significantly from a pre-optimized engine tailored specifically towards vector searches, rather than leveraging an extension within PostgreSQL.

Explore

Sources

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

GitHub stars on cards: cuvs 810 · pgvector 22k (synced Jul 11, 2026).

Common questions

What is the difference between cuvs and pgvector?
cuvs: A library for vector search and clustering on the GPU. pgvector: Open-source vector similarity search for Postgres. See the comparison table for live GitHub stats and shared categories.
When should I choose cuvs over pgvector?
Choose cuvs over pgvector when cuvs is primarily Cuda; pgvector is C; License: cuvs is Apache-2.0, pgvector is Other; Tags unique to cuvs: clustering, anns, sparse, gpu; - When you need high-performance vector operations leveraging the parallel processing power of GPUs, specifically with CUDA.
When should I choose pgvector over cuvs?
Choose pgvector over cuvs when pgvector is primarily C; cuvs is Cuda; License: pgvector is Other, cuvs is Apache-2.0; Tags unique to pgvector: approximate-nearest-neighbor-search, nearest-neighbor-search; When you need to perform approximate nearest neighbor or exact nearest neighbor searches on your vectors and prefer to keep the data within a PostgreSQL database.
When should I avoid cuvs?
- For environments where GPU resources are limited or unavailable because cuVS heavily relies on CUDA's capabilities for performance gains. - When you prioritize portability across different hardware, as cuVS being tied to CUDA means it may not be optimal on non-NVIDIA GPUs or CPU-only systems.
When should I avoid pgvector?
When the requirement is to have a standalone in-memory or distributed vector database system as pgvector remains strictly integrated with PostgreSQL. For scenarios where high availability and clustering capabilities without manual intervention (beyond what standard PostgreSQL offers) are necessary. If the application's performance benefits significantly from a pre-optimized engine tailored specifically towards vector searches, rather than leveraging an extension within PostgreSQL.
Is cuvs or pgvector more popular on GitHub?
pgvector has more GitHub stars (22,149 vs 810). Stars measure visibility, not whether either tool fits your constraints.
Are cuvs and pgvector open source?
Yes - both are open-source projects on GitHub (cuvs: Apache-2.0, pgvector: Other).
Where can I find alternatives to cuvs or pgvector?
GraphCanon lists graph-backed alternatives at cuvs alternatives and pgvector alternatives (cuvs markdown twin, pgvector 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, cuvs or pgvector?
cuvs: Very active. pgvector: 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 cuvs and pgvector?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: cuvs trust report; pgvector trust report.