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
80 Active
80 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 (9)

LangGraphLangChainLlamaIndexHaystackDifyChromaMilvusVercel AI SDKRedis Vector

Only Milvus (1)

Qdrant

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