Milvus vs turbopuffer

Pick two tools from the same category to compare side-by-side.

	Milvus Open-source, cloud-native vector database for large-scale ANN search, with Zilliz Cloud as its managed offering.	turbopuffer Serverless vector + full-text search with object-storage backend.
Category	retrieval	retrieval
Vendor type	hybrid	commercial
Pricing	freemium	usage
Strengths	+ Scales to billions of vectors via a disaggregated, distributed architecture + Three deployment modes span prototyping (Lite) to enterprise clusters + Broad index-type support and hybrid/multi-vector search + Neutral governance under LF AI & Data with a large contributor base	+ Object-storage-backed; cheap at rest + Hybrid vector + BM25 search + Per-namespace isolation
Tradeoffs	− Distributed mode depends on multiple external components (etcd, message queue, object storage), making self-hosted operations complex − Heavyweight for small or single-node workloads where simpler stores suffice − Feature differences between Lite, Standalone, and Distributed modes can complicate migration paths	− Newer player; smaller ecosystem than Pinecone
Used in stacks	0	13