Qdrant vs Weaviate
Qdrant: Rust vector search engine with rich payload filtering, quantization and a managed cloud. Weaviate: Open-source AI-native vector database with hybrid search, modules for embeddings and multi-tenancy.
key differences
- These two are very similar on paper. Compare ecosystems, pricing and team familiarity.
choose qdrant for
- +RAG retrieval with metadata filtering
- +Recommendation and similarity search
- +Image and multimodal search
- +Multi-tenant semantic search
best at · Vector search, RAG
choose weaviate for
- +RAG over documents with hybrid retrieval
- +Multi-tenant SaaS semantic search
- +Product and content recommendation
- +Agent memory stores
best at · Vector search, RAG, Search
Qdrant vs Weaviate: FAQ
What is the difference between Qdrant and Weaviate?
Qdrant: Rust vector search engine with rich payload filtering, quantization and a managed cloud. Weaviate: Open-source AI-native vector database with hybrid search, modules for embeddings and multi-tenancy.
When should I choose Qdrant over Weaviate?
Choose Qdrant for RAG retrieval with metadata filtering; recommendation and similarity search; and image and multimodal search. Choose Weaviate for RAG over documents with hybrid retrieval; multi-tenant SaaS semantic search; and product and content recommendation.
Is Qdrant or Weaviate more popular?
Qdrant ranks #55 on the WhichDB Score (35.9/100) and Weaviate ranks #65 (33.4/100). Popularity is not fit: check the requirements that matter for your project.
Are Qdrant and Weaviate open source?
Yes. Qdrant is open source. License: Apache License 2.0. Yes. Weaviate is open source. License: BSD-3-Clause (core); enterprise features under the Weaviate License.