Turbopuffer
Serverless vector and full-text search engine for AI apps.
Updated April 2026
Overview
- Website
- turbopuffer.com
- Founded
- 2023
- Headquarters
- Ottawa, Canada
- Segment
- Vector Databases
- Posture
- Purpose-Built Vector DB
Product overview
Turbopuffer is a serverless vector and full-text search engine built on object storage, designed for AI applications like semantic search and RAG. It offers scalability to billions of vectors, low latency, and up to 10x cost savings over traditional databases. Customers including Notion, Cursor, and Linear use it to reduce costs by 70-95% while handling massive data volumes.
Revenue model
Subscription or usage-based SaaS for search services
Moat
Turbopuffer's key competitive moat is its proprietary tiered storage engine, which leverages object storage like S3 or Google Cloud Storage to deliver up to 100x cost reductions, high scalability (handling 10M+ writes/s and 10k+ queries/s across trillions of documents), and serverless simplicity compared to traditional memory-intensive vector databases. This creates high switching costs for customers like Cursor and Notion, who achieved 10x cost savings and seamless migration, while founders' Shopify-scale expertise erects a strong technical barrier to entry.
Headwinds
Competition from established database providers adding vector capabilities and hyperscale cloud vector services.