Best alternatives to turbopuffer in 2026

AI features like 'search my notes by meaning' or a coding assistant that finds relevant code work by converting text into number sequences called vectors and searching for similar ones — this needs a specialized kind of database. turbopuffer is a hosted service that provides exactly that kind of database, built to be both fast and cheap even at very large scale, by storing data on the same cheap cloud storage regular files use instead of expensive dedicated servers. turbopuffer is a vector and full-text search database built on object storage, aimed at AI applications that need similarity search and semantic matching alongside traditional keyword search. It combines vector search (sub-10ms p50 latency), full-text search using BM25, and hybrid search that blends both, plus metadata filtering, and scales automatically to billions of vectors. It's used in production by Cursor, Notion, Linear, Atlassian, Anthropic, Ramp, Grammarly and Superhuman, and reports handling over 4 trillion documents, 10 million+ writes per second and 25,000+ queries per second across its customer base. Deployment supports both multi-tenant and single-tenant models, with HIPAA-ready compliance and customer-managed encryption per namespace available on higher tiers. Pricing is usage-based across three named tiers (Launch, Scale, Enterprise) with no free tier.