--- title: "milvus vs cuvs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/milvus-io-milvus-vs-nvidia-cuvs" tools: ["milvus-io-milvus", "nvidia-cuvs"] --- # milvus vs cuvs *GraphCanon updated Jul 12, 2026* ## 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. [milvus](https://milvus.io) reports 45k GitHub stars, 4.1k forks, and 1.0k open issues, last pushed Jul 11, 2026. [cuvs](https://docs.rapids.ai/api/cuvs/stable/) has 810 stars, 210 forks, and 645 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [milvus's repository](https://github.com/milvus-io/milvus) and [cuvs's repository](https://github.com/NVIDIA/cuvs). | | [milvus](/tools/milvus-io-milvus.md) | [cuvs](/tools/nvidia-cuvs.md) | | --- | --- | --- | | Tagline | High-performance cloud-native vector database | A library for vector search and clustering on the GPU | | Stars | 45,181 | 810 | | Forks | 4,116 | 210 | | Open issues | 1,009 | 645 | | Language | Go | Cuda | | Adopt for | Milvus is a high-performance cloud-native vector database, optimized for scalable vector ANN search. | cuVS is a CUDA-based library for efficient GPU-accelerated vector search and clustering. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Vector Databases | Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [milvus](/tools/milvus-io-milvus.md) | [cuvs](/tools/nvidia-cuvs.md) | | --- | --- | --- | | Open issues (now) | 1.0k | 645 | | Security scan | 12 low (12 low) | No lockfile | | Full report | [trust report](/tools/milvus-io-milvus/trust.md) | [trust report](/tools/nvidia-cuvs/trust.md) | ## Decision facts: milvus - **Pricing:** freemium - Milvus is open-source under Apache-2.0 license. - **Requirements:** Min 4 GB RAM - **Adopt for:** Milvus is a high-performance cloud-native vector database, optimized for scalable vector ANN search. ## Decision facts: cuvs - **Adopt for:** cuVS is a CUDA-based library for efficient GPU-accelerated vector search and clustering. ## Choose when ### 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: cloud-native, diskann, distributed, embedding-database. - Use Milvus when you need to perform efficient vector similarity searches specifically leveraging the Approximate Nearest Neighbor (ANN) algorithm. ### Choose cuvs if… - cuvs is primarily Cuda; milvus is Go. - Tags unique to cuvs: clustering, cuda, gpu, information-retrieval. - - When you need high-performance vector operations leveraging the parallel processing power of GPUs, specifically with CUDA. ## 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. ## 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. ## 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: cloud-native, diskann, distributed, embedding-database; 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, cuda, gpu, information-retrieval; - 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](/tools/milvus-io-milvus/alternatives) and [cuvs alternatives](/tools/nvidia-cuvs/alternatives) ([milvus markdown twin](/tools/milvus-io-milvus/alternatives.md), [cuvs markdown twin](/tools/nvidia-cuvs/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 [this comparison](/compare/milvus-io-milvus-vs-nvidia-cuvs.md) 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](/tools/milvus-io-milvus/trust); [cuvs trust report](/tools/nvidia-cuvs/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=milvus-io-milvus`](/api/graphcanon/graph?tool=milvus-io-milvus) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_