Qdrant vs Weaviate(2026)
Qdrant is better for teams that need best raw performance. Weaviate is the stronger choice if richest feature set. Qdrant is open-source (from $0) and Weaviate 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 QdrantWeaviate
Weaviate is an open-source vector database with built-in ML model integrations, graph-like data structures, and hybrid search — available self-hosted or as a managed cloud service.
Starting at $0
Visit WeaviateHow Do Qdrant and Weaviate Compare on Features?
| Feature | Qdrant | Weaviate |
|---|---|---|
| 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 | — | ✓ |
| Built-in vectorization modules | — | ✓ |
| Hybrid search (BM25 + vector) | — | ✓ |
| GraphQL API | — | ✓ |
| Self-hostable | — | ✓ |
Qdrant Pros and Cons vs Weaviate
Qdrant
Weaviate
Should You Use Qdrant or Weaviate?
Choose Qdrant if…
- •Best raw performance
- •Rich filtering options
- •Low memory footprint
Choose Weaviate if…
- •Richest feature set
- •Built-in ML model support
- •Graph-like traversal