Home/Compare/milvus vs cuvs

Comparison

milvus vs cuvs

Verdict

Pick milvus if milvus is a high-performance cloud-native vector database, optimized for scalable vector ANN search; pick cuvs if cuVS is a CUDA-based library for efficient GPU-accelerated vector search and clustering.

Markdown twin · milvus alternatives · cuvs alternatives

GraphCanon updated today

milvus logo

milvus

milvus-io/milvus

45kpushed Jul 11, 2026
vs
cuvs logo

cuvs

NVIDIA/cuvs

810pushed Jul 11, 2026

Trust & integrity

Signalmilvuscuvs
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)
12 low (12 low)
As of today · osv@v1
No lockfile
As of today · none

Tagline

milvus
High-performance cloud-native vector database
cuvs
A library for vector search and clustering on the GPU

Stars

milvus
45k
cuvs
810

Forks

milvus
4.1k
cuvs
210

Open issues

milvus
1.0k
cuvs
645

Language

milvus
Go
cuvs
Cuda

Adopt for

milvus
Milvus is a high-performance cloud-native vector database, optimized for scalable vector ANN search.
cuvs
cuVS is a CUDA-based library for efficient GPU-accelerated vector search and clustering.

Persona

milvus
-
cuvs
-

Runtime

milvus
-
cuvs
-

License

milvus
Apache-2.0
cuvs
Apache-2.0

Last pushed

milvus
Jul 11, 2026
cuvs
Jul 11, 2026

Categories

milvus
Vector Databases
cuvs
Vector Databases

Trust and health

Open issues (now)

milvus
1.0k
cuvs
645

Security scan

milvus
12 low (12 low)
cuvs
No lockfile

Full report

Choose milvus if…

  • milvus is primarily Go; cuvs is Cuda.
  • Pricing: Milvus is open-source under Apache-2.0 license..
  • Requirements: Min 4 GB RAM.
  • Tags unique to milvus: distributed, cloud-native, embedding-database, embedding-store.
  • Use Milvus when you need to perform efficient vector similarity searches specifically leveraging the Approximate Nearest Neighbor (ANN) algorithm.

When NOT to use milvus

  • Avoid Milvus when you need immediate native compatibility with FAISS or similar standalone libraries as it has distinct features tailored to its own ecosystem.
  • Do not use Milvus if your application strictly requires real-time indexing updates and low-latency search operations, since optimizing for ANN search may introduce trade-offs in these areas.

Choose cuvs if…

  • cuvs is primarily Cuda; milvus is Go.
  • Tags unique to cuvs: clustering, sparse, gpu, cuda.
  • - 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.

Explore

Sources

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

GitHub stars on cards: milvus 45k · cuvs 810 (synced Jul 11, 2026).

Common questions

What is the difference between milvus and cuvs?
milvus: High-performance cloud-native vector database. cuvs: A library for vector search and clustering on the GPU. See the comparison table for live GitHub stats and shared categories.
When should I choose milvus over cuvs?
Choose milvus over cuvs when milvus is primarily Go; cuvs is Cuda; Pricing: Milvus is open-source under Apache-2.0 license.; Requirements: Min 4 GB RAM; Tags unique to milvus: distributed, cloud-native, embedding-database, embedding-store; Use Milvus when you need to perform efficient vector similarity searches specifically leveraging the Approximate Nearest Neighbor (ANN) algorithm.
When should I choose cuvs over milvus?
Choose cuvs over milvus when cuvs is primarily Cuda; milvus is Go; Tags unique to cuvs: clustering, sparse, gpu, cuda; - When you need high-performance vector operations leveraging the parallel processing power of GPUs, specifically with CUDA.
When should I avoid milvus?
Avoid Milvus when you need immediate native compatibility with FAISS or similar standalone libraries as it has distinct features tailored to its own ecosystem. Do not use Milvus if your application strictly requires real-time indexing updates and low-latency search operations, since optimizing for ANN search may introduce trade-offs in these areas.
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.
Is milvus or cuvs more popular on GitHub?
milvus has more GitHub stars (45,181 vs 810). Stars measure visibility, not whether either tool fits your constraints.
Are milvus and cuvs open source?
Yes - both are open-source projects on GitHub (milvus: Apache-2.0, cuvs: Apache-2.0).
Where can I find alternatives to milvus or cuvs?
GraphCanon lists graph-backed alternatives at milvus alternatives and cuvs alternatives (milvus markdown twin, cuvs 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, milvus or cuvs?
milvus: Very active. cuvs: 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 milvus and cuvs?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: milvus trust report; cuvs trust report.