Turbopuffer B2B Case Studies & Customer Successes

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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

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

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Linear achieves zero-ops hybrid search at scale with turbopuffer

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

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Readwise achieves scalable AI-powered search with turbopuffer

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