Turbopuffer B2B Case Studies & Customer Successes

Turbopuffer is a fast search engine that combines vector and full-text search using object storage, making all your data easily searchable. Using only object storage for state and NVMe SSD with memory cache for compute, turbopuffer scales horizontally to handle billions of documents. The system caches only actively searched data while keeping the rest in low-cost object storage, offering competitive pricing. Cold queries process 1 million vectors in 500ms (p90), while warm queries take just 20ms (p50).

Case Studies

Showing 13 Turbopuffer Customer Success Stories

Atlassian boosts search quality and scalability with turbopuffer

Atlassian

Cursor achieves 20x lower code retrieval costs and faster scaling with turbopuffer

Cursor

Sualeh Asif

Co-founder and CTO

Fal achieves millisecond search across 300M+ media assets with Turbopuffer

Fal

Kepler achieves fast, low-cost search across 100M+ financial documents with Turbopuffer

Kepler

Legora achieves secure, low-latency search across 2B+ legal documents with turbopuffer

Legora

Linear achieves zero-ops hybrid search at scale with turbopuffer

Linear

Tom Moor

Head of Engineering

Mem0 achieves 70x lower latency with Turbopuffer

Mem0

Notion achieves 80% lower search costs and 10B+ vector scale with turbopuffer

Notion

Mickey Liu

Data Engineering Lead

PlayerZero achieves 18x faster code reasoning with turbopuffer

PlayerZero

Pylon achieves scalable multi-tenant semantic search with turbopuffer

PYLON

Readwise achieves scalable AI-powered search with turbopuffer

Readwise

Tristan Homsi

Founder and CEO

Superhuman achieves reliable, scalable email search with turbopuffer

Superhuman

TELUS scales 300,000+ AI copilots with turbopuffer

Telus

No matching case studies

Featured Companies

Acronis

315 Case Studies

AppsFlyer

330 Case Studies

Bench

44 Case Studies