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turbopuffer

Fast vector and full-text search engine built on object storage — 10x cheaper and infinitely scalable

Free tier available·Technical·API available

Key strengths

10x cheaper than alternativesBuilt on object storage (S3)Extremely scalable (1T+ documents, 10M+ writes/s, 100k+ queries/s)Low latency (sub-10ms p50 for warm namespaces)Vector search and full-text search (BM25) with hybrid searchMetadata filteringAutomatic scaling
Free tier + paid plans · from $16 USD/mo
San Francisco, USA
Founded 2023

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Recent changes

  • Free tier: removed
  • Starting price: $0/mo → $16/mo
  • Plans updated: Three plans: Launch ($16/mo min), Scale ($256/mo min), Enterprise (>=$4,096/mo). Usage-based pricing: Storage ≤$0.33/GB, Writes ≤$2.00/GB, Queries ≤$1.00/PB. Enterprise has 35% usage premium.
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turbopuffer is a vector and full-text search engine built on object storage (Amazon S3), designed for AI/ML engineers who need high-scale similarity search at a fraction of the cost of traditional vector databases. It supports vector search, BM25 full-text search, and hybrid search with metadata filtering — all backed by an API-first architecture.

Key technical characteristics:

  • Storage layer: Built directly on Amazon S3, enabling near-unlimited horizontal scalability
  • Scale benchmarks: Supports 1T+ documents, 10M+ writes/second, and 100k+ queries/second
  • Latency: Sub-10ms p50 for warm namespaces
  • Search capabilities: Vector similarity search, BM25 full-text search, hybrid search, and metadata filtering
  • Automatic scaling: No manual cluster management required
  • API available: Yes
  • Open source: Yes (52 GitHub stars)
  • Pricing model: Usage-based — Storage ≤$0.33/GB, Writes ≤$2.00/GB, Queries ≤$1.00/PB; plans start at $16/mo (Launch)
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