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 4 Turbopuffer Customer Success Stories

Cursor switched from a vector database with a traditional storage architecture to turbopuffer, cutting costs by 20x and unlocked the ability to scale effortlessly as they grow

Cursor

Sualeh Asif

Co-founder and CTO

Linear - Customer Case Study

Linear

Tom Moor

Head of Engineering

Notion needed a search engine capable of scaling beyond 10B vectors to power their next generation of search & AI features

Notion

Mickey Liu

Data Engineering Lead

Readwise - Customer Case Study

Readwise

Tristan Homsi

Founder and CEO

No matching case studies

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