Turbopuffer
FundedServerless, scalable vector and full-text search on object storage
About Turbopuffer
Turbopuffer offers a serverless vector and full-text search database designed for enterprises requiring high-performance similarity search at scale. Built from first principles on object storage, it supports AI applications, semantic search, recommendation systems, and hybrid search workloads. The platform handles massive production volumes with over 2.5 trillion documents, 10 million writes per second, and 10,000 queries per second, delivering sub-10ms latency and significant cost savings compared to traditional vector databases.
Ideal for CIOs overseeing AI-driven data infrastructure, Turbopuffer provides automatic scaling, metadata filtering, and hybrid search capabilities that enable efficient querying of billions of vectors. Its architecture reduces query costs by up to 94%, making it a cost-effective solution for enterprises managing large-scale vector search workloads. The vendor serves leading companies across various industries, demonstrating proven production reliability and scalability.
Key Capabilities
- ✓Serverless architecture with automatic scaling
- ✓Fast vector and full-text search with sub-10ms latency
- ✓Support for billions of vectors and trillions of documents
- ✓Hybrid search combining vector and keyword queries
- ✓Cost-effective storage leveraging object storage (S3)
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