

Qdrant and Weaviate are both Vector Databases tools. Qdrant starts at $65/mo, Weaviate at $45/mo. Compare features, pricing, and ratings below to find the best fit for your team.
The question that matters: “In what situation will I regret choosing A over B after 3 months?”
Qdrant's HNSW indexes integrate payload filtering natively, executing filtered nearest-neighbor search without a post-filter scan step, maintaining sub-50ms latency on complex metadata filters.
Weaviate's structured schema enforces data types on vector objects, enabling filtered vector search that combines nearest neighbor with exact property matches and reducing false positives in metadata-sensitive retrieval.
Qdrant supports sparse vectors natively alongside dense vectors, enabling BM25 and embedding search in the same collection for hybrid retrieval without maintaining two separate indexes.
Weaviate's multi2vec module indexes text and image objects in the same collection, enabling cross-modal search where a text query returns images and vice versa without separate pipelines.
Qdrant's on-disk HNSW stores vectors on SSD while keeping only graph navigation data in RAM, serving collections larger than server memory at acceptable latency for cost-sensitive deployments.
Weaviate's Generative Search module passes retrieved objects directly to an LLM within the same query, cutting latency by eliminating a separate LLM API call for RAG retrieval-generation pipelines.
Best for: Ideal for users who prefer full control and self management of their vector database
Best for: Testing and prototypes
Best for: Production workloads + scaling
Best for: Enterprise security + compliance
Best for: Designed for organizations needing a blend of on premise and cloud infrastructure
Best for: For highly regulated industries or those with strict security and compliance needs
Best for: Good for self-hosting and full control over your vector database
Best for: Ideal for testing and development without commitment
Best for: Prototypes, pilots, small use cases
Best for: Teams scaling AI in production
Best for: Offers deployment within your own cloud environment for maximum control and compliance
Best for: Designed for growing applications needing more resources and dedicated support
4 differences found across 14 standardized features
Evaluative strengths and weaknesses: not feature lists
Qdrant removed the "Cloud Standard" plan
Plan removed · May 30, 2026
Qdrant removed the "Open Source" plan
Plan removed · May 30, 2026
Qdrant added a new "Free Tier" plan at $0/mo (Free)
Plan added · May 30, 2026
Qdrant added a new "Standard" plan at $65/mo
Plan added · May 30, 2026
Qdrant removed the "Enterprise" plan
Plan removed · May 30, 2026
Weaviate added a new "Open-Source" plan at $0/mo (Free)
Plan added · May 28, 2026
Weaviate removed the "Enterprise Cloud" plan
Plan removed · May 28, 2026
Weaviate added a new "Sandbox" plan at $0/mo (Free)
Plan added · May 28, 2026
Weaviate added a new "Flex" plan at $45/mo
Plan added · May 28, 2026
Weaviate removed the "Open Source" plan
Plan removed · May 28, 2026