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207 tools · 25 stacks

AI tools are all over the place. This is the full landscape — 207 tools across 17 categories, mapped and connected. Ready to narrow it down? Build your stack →

Team size

Budget

Use case

Stage

Cluster

Stack Layers
What are you building and how is it defined?
How do you write and ship code?
How does your AI think and act?
Which models and infrastructure power it?
How do you build, observe, and extend it?
These tools competes with
Qdrant
vs
Milvus

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
Field
Qdrant
Milvus
Category
LLM Infrastructure
LLM Infrastructure
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
Cloud: Usage-based
Zilliz Cloud: Usage-based
Stars
⭐ 20,000
⭐ 31,000
Health
●80 — Active
●80 — Active
Trajectory
— not enough data
— not enough data
Synced
today
7 days ago

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.

Qdrant Website ↗GitHub ↗
Milvus Website ↗GitHub ↗

Shared Connections (3)

PineconepgvectorWeaviate

Only Qdrant (9)

LangGraphLangChainLlamaIndexHaystackDifyVercel AI SDKChromaMilvus

Only Milvus (1)

Qdrant
See full comparison in Explore →