These tools competes with

QdrantvsMilvus

High-performance vector DB with filtering versus Distributed vector database built for scale

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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 Milvus when…

  • You're running large-scale, high-volume vector search
  • You need a dedicated open-source vector DB for production
  • Billion-scale vector indexing is a requirement

Side-by-side comparison

Field
Qdrant
Milvus
Category
LLM Infrastructure
LLM Infrastructure
Type
Open Source
Open Source
Free Tier
✓ Yes
✓ Yes
Pricing Plans
Cloud: Usage-based
Zilliz Cloud: Usage-based
GitHub Stars
20,000
31,000
Health
95 Active
95 Active

Qdrant

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

Milvus

Cloud-native vector database designed for billion-scale similarity search. Powers Zilliz Cloud and used by major enterprises for production RAG.

Shared Connections3 tools both integrate with

Only Qdrant (11)

LangGraphLangChainLlamaIndexHaystackDifyVercel AI SDKChromaMilvusRedis VectorMem0

Only Milvus (1)

Qdrant

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