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Visit turbopuffer.com
Category
Developer Tools
Platform
web
Type
TOOL
Added
Jul 30, 2026

About

turbopuffer is a vector and full-text search database built directly on object storage (like S3), offering sub-10ms query latencies while being roughly 10x cheaper than traditional in-memory vector databases. It supports hybrid vector plus BM25 full-text search with metadata filtering, and is used in production by companies like Cursor, Notion, Anthropic, and Linear at scales exceeding 4 trillion documents and 10 million writes per second.

Why it made the leaderboard

If your RAG or search index is growing past the point where a memory-resident vector DB is affordable, turbopuffer stores indexes directly on S3 with SSD caching, cutting storage cost roughly 10x while still hitting sub-10ms p50 on cached namespaces. It also does hybrid BM25 + vector search and metadata filtering natively, so you don't need a separate full-text engine alongside it.

Tags

vector-searchfull-text-searchobject-storagedatabasebm25hybrid-searchembeddingssearch-infrastructure

Media

turbopuffer

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Indexed by a proprietary survey. Corrections welcome.