Milvus vs Qdrant
A side-by-side comparison of Milvus and Qdrant, two Vector DB tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
The honest brief
Milvus
Storage/compute split plus DiskANN make it the most robust open-source choice at billion-vector scale.
- Scales to billion-vector deployments
- Storage/compute separation
- Many index types (HNSW, IVF, DiskANN) + GPU
- Mature project with a large community
- Operationally heavy to self-host
- Overkill for small workloads
- Performance hinges on data quality
- Higher latency than Qdrant at p50
Qdrant
Rust single-binary you can self-host, with payload filtering strong enough that teams pick it for metadata-heavy search.
- Open source, written in Rust
- Self-host or managed cloud
- Strong payload/metadata filtering
- Predictable latency at scale
- More ops than fully-managed rivals
- Smaller ecosystem than Pinecone
- Advanced features lean on managed cloud