Weaviate vs Qdrant(2026)
Weaviate is better for teams that need richest feature set. Qdrant is the stronger choice if best raw performance. Weaviate is open-source (from $0) and Qdrant is open-source (from $0).
Full feature breakdown, pricing details, and pros & cons below.
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Weaviate
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 WeaviateQdrant
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 QdrantHow Do Weaviate and Qdrant Compare on Features?
| Feature | Weaviate | Qdrant |
|---|---|---|
| Pricing model | open-source | open-source |
| Starting price | $0 | $0 |
| Open source | ✓ | — |
| Built-in vectorization modules | ✓ | — |
| Hybrid search (BM25 + vector) | ✓ | — |
| GraphQL API | ✓ | — |
| Multi-tenancy | ✓ | ✓ |
| Self-hostable | ✓ | — |
| Managed cloud | ✓ | ✓ |
| Rust-based (fast) | — | ✓ |
| Rich payload filtering | — | ✓ |
| Named vectors | — | ✓ |
| gRPC + REST | — | ✓ |
| Quantization support | — | ✓ |
Weaviate Pros and Cons vs Qdrant
Weaviate
Qdrant
Should You Use Weaviate or Qdrant?
Choose Weaviate if…
- •Richest feature set
- •Built-in ML model support
- •Graph-like traversal
Choose Qdrant if…
- •Best raw performance
- •Rich filtering options
- •Low memory footprint