Milvus
A distributed, cloud-native vector database built for high-performance similarity search over billions of vectors.
Strengths
- Scales horizontally, with separated compute and storage
- Multiple index types (HNSW, IVF, DiskANN) plus optional GPU indexing
- Supports dense and sparse vectors, and hybrid search
Weaknesses
- The distributed architecture demands operational expertise at scale
- Heavier than an embedded store for small local projects
- A steeper learning curve than the lightweight alternatives
At a glance
- Licence
- Apache-2.0
- Pricing
- Open core
- Platforms
- Linux, macOS, Docker
- GPU required
- No
Links
Works with
Related guides
Glossary
Entry last verified 18 August 2026.