Comparison
cuvs vs vector-db-benchmark
Verdict
Pick cuvs if cuVS is a CUDA-based library for efficient GPU-accelerated vector search and clustering; pick vector-db-benchmark if vector-db-benchmark is a Python-based framework that focuses on benchmarking vector search engines critical for applications ranging from recommendation systems to semantic search.
Markdown twin · cuvs alternatives · vector-db-benchmark alternatives
GraphCanon updated Sep 20, 2026
8views this month
vs
Trust & integrity
| Signal | cuvs | vector-db-benchmark |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Very active (1d since push) As of Sep 20, 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 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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
- cuvs
- A library for vector search and clustering on the GPU
- vector-db-benchmark
- Framework for benchmarking vector search engines
Stars
- cuvs
- 854
- vector-db-benchmark
- 371
Forks
- cuvs
- 236
- vector-db-benchmark
- 155
Open issues
- cuvs
- 738
- vector-db-benchmark
- 37
Language
- cuvs
- Cuda
- vector-db-benchmark
- Python
Adopt for
- cuvs
- cuVS is a CUDA-based library for efficient GPU-accelerated vector search and clustering.
- vector-db-benchmark
- vector-db-benchmark is a Python-based framework that focuses on benchmarking vector search engines critical for applications ranging from recommendation systems to semantic search.
Persona
- cuvs
- -
- vector-db-benchmark
- -
Runtime
- cuvs
- -
- vector-db-benchmark
- -
License
- cuvs
- Apache-2.0
- vector-db-benchmark
- Apache-2.0
Last pushed
- cuvs
- Sep 20, 2026
- vector-db-benchmark
- Sep 18, 2026
Categories
- cuvs
- Vector Databases
- vector-db-benchmark
- Vector Databases
Trust and health
Days since push
- cuvs
- 0d
- vector-db-benchmark
- 1d
Open issues (now)
- cuvs
- 738
- vector-db-benchmark
- 37
Stars delta
- cuvs
- +33 (30d)
- vector-db-benchmark
- +3 (30d)
Open issues delta
- cuvs
- +93 (30d)
- vector-db-benchmark
- -8 (30d)
Full report
- cuvs
- Trust report
- vector-db-benchmark
- Trust report
Choose cuvs if…
- cuvs is primarily Cuda; vector-db-benchmark is Python.
- Tags unique to cuvs: anns, clustering, cuda, 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 vector-db-benchmark if…
- vector-db-benchmark is primarily Python; cuvs is Cuda.
- Tags unique to vector-db-benchmark: benchmark, vector-database, vector-search-engine.
- Use this tool when you need precisely measured performance metrics of vector databases, especially in environments where decision-making is driven by nuanced data comparisons and analysis.
When NOT to use vector-db-benchmark
- Avoid this tool if you are looking to benchmark non-vector database types, as its focus specifically lies on vector databases used in specialized scenarios like the ones mentioned.
- Do not use vector-db-benchmark when your project does not require deep analysis or comparison of vector search performance, as it might add unnecessary complexity.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (NVIDIA/cuvs) · observed Sep 20, 2026
- GitHub forks (NVIDIA/cuvs) · observed Sep 20, 2026
- Last push (NVIDIA/cuvs) · observed Sep 20, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (qdrant/vector-db-benchmark) · observed Sep 20, 2026
- GitHub forks (qdrant/vector-db-benchmark) · observed Sep 20, 2026
- Last push (qdrant/vector-db-benchmark) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: cuvs 854 · vector-db-benchmark 371 (synced Sep 20, 2026).
Common questions
- What is the difference between cuvs and vector-db-benchmark?
- cuvs: A library for vector search and clustering on the GPU. vector-db-benchmark: Framework for benchmarking vector search engines. See the comparison table for live GitHub stats and shared categories.
- When should I choose cuvs over vector-db-benchmark?
- Choose cuvs over vector-db-benchmark when cuvs is primarily Cuda; vector-db-benchmark is Python; Tags unique to cuvs: anns, clustering, cuda, gpu; - When you need high-performance vector operations leveraging the parallel processing power of GPUs, specifically with CUDA.
- When should I choose vector-db-benchmark over cuvs?
- Choose vector-db-benchmark over cuvs when vector-db-benchmark is primarily Python; cuvs is Cuda; Tags unique to vector-db-benchmark: benchmark, vector-database, vector-search-engine; Use this tool when you need precisely measured performance metrics of vector databases, especially in environments where decision-making is driven by nuanced data comparisons and analysis.
- 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 vector-db-benchmark?
- Avoid this tool if you are looking to benchmark non-vector database types, as its focus specifically lies on vector databases used in specialized scenarios like the ones mentioned. Do not use vector-db-benchmark when your project does not require deep analysis or comparison of vector search performance, as it might add unnecessary complexity.
- Is cuvs or vector-db-benchmark more popular on GitHub?
- cuvs has more GitHub stars (854 vs 371). Stars measure visibility, not whether either tool fits your constraints.
- Are cuvs and vector-db-benchmark open source?
- Yes - both are open-source projects on GitHub (cuvs: Apache-2.0, vector-db-benchmark: Apache-2.0).
- Where can I find alternatives to cuvs or vector-db-benchmark?
- GraphCanon lists graph-backed alternatives at cuvs alternatives and vector-db-benchmark alternatives (cuvs markdown twin, vector-db-benchmark 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 vector-db-benchmark?
- cuvs: Very active. vector-db-benchmark: 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 vector-db-benchmark?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: cuvs trust report; vector-db-benchmark trust report.