Milvus vs Qdrant

Choose Milvus if…

Best for enterprise teams running vector search at billions-of-vectors scale across distributed infrastructure, and its edge is architected for horizontal scale in a way lighter tools like Chroma or Qdrant aren't designed for. The right choice once you're at real production scale, genuine overkill for a small side project. Lean toward Qdrant instead if combines vector search with payload indexing, letting you filter results with real precision, not just approximate matches matters more for your use case.

Choose Qdrant if…

Best for teams building production AI applications that need precise filtering alongside vector similarity search, and its edge is combines vector search with payload indexing, letting you filter results with real precision, not just approximate matches. A production-grade choice once you need that filtering control, self-hosting requires real ops knowledge to run well. Lean toward Milvus instead if architected for horizontal scale in a way lighter tools like Chroma or Qdrant aren't designed for matters more for your use case.