These tools competes with

QdrantvsWeaviate

High-performance vector DB with filtering versus Cloud-native vector search engine

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Choose Qdrant when…

  • You need high-performance vector search in production
  • You want OSS with Rust-level performance
  • Filtering alongside vector search is important

Choose Weaviate when…

  • You want a knowledge graph alongside vector search
  • Multi-modal search (text + image) is needed
  • You need hybrid keyword + vector search

Side-by-side comparison

Field
Qdrant
Weaviate
Category
LLM Infrastructure
LLM Infrastructure
Type
Open Source
Open Source
Free Tier
✓ Yes
✓ Yes
Pricing Plans
Cloud: Usage-based
Cloud: Usage-based
GitHub Stars
20,000
11,000
Health
95 Active
95 Active

Qdrant

Rust-based vector database optimized for filtering. Supports named vectors, payloads, and hybrid search. Self-hostable or cloud.

Weaviate

Open-source vector database with hybrid search (vector + BM25), multi-modal support, and native GraphQL API. Strong enterprise adoption.

Shared Connections4 tools both integrate with

Only Qdrant (10)

LangGraphHaystackDifyVercel AI SDKChromapgvectorWeaviateRedis VectorMem0LightRAG

Only Weaviate (1)

Qdrant

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See how Qdrant and Weaviate fit into the bigger picture — 235 tools, 543 relationships, all mapped.

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