Qdrant vs Milvus(2026)
Qdrant is better for teams that need best raw performance. Milvus is the stronger choice if best for large-scale deployments. Qdrant is open-source (from $0) and Milvus is open-source (from $0).
Full feature breakdown, pricing details, and pros & cons below.
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Qdrant
Qdrant is a high-performance vector similarity search engine written in Rust. It offers rich filtering, payload indexing, and a managed cloud — built for production AI applications.
Starting at $0
Visit QdrantMilvus
Milvus is an open-source, cloud-native vector database built for scalable similarity search. Designed for billion-scale vectors with high throughput and low latency.
Starting at $0
Visit MilvusHow Do Qdrant and Milvus Compare on Features?
| Feature | Qdrant | Milvus |
|---|---|---|
| Pricing model | open-source | open-source |
| Starting price | $0 | $0 |
| Rust-based (fast) | ✓ | — |
| Rich payload filtering | ✓ | — |
| Named vectors | ✓ | — |
| Managed cloud | ✓ | — |
| gRPC + REST | ✓ | — |
| Multi-tenancy | ✓ | — |
| Quantization support | ✓ | — |
| Open source | — | ✓ |
| Billion-scale vectors | — | ✓ |
| Multiple index types (IVF, HNSW) | — | ✓ |
| Cloud-native (Kubernetes) | — | ✓ |
| Attu GUI | — | ✓ |
| Multi-vector search | — | ✓ |
| Managed (Zilliz Cloud) | — | ✓ |
Qdrant Pros and Cons vs Milvus
Qdrant
Milvus
Should You Use Qdrant or Milvus?
Choose Qdrant if…
- •Best raw performance
- •Rich filtering options
- •Low memory footprint
Choose Milvus if…
- •Best for large-scale deployments
- •Active CNCF project
- •Multiple index options