About turbopuffer

Turbopuffer is a serverless vector database built on object storage, offering a cost-effective and scalable solution for managing large-scale vector embeddings. With usage-based pricing, Turbopuffer enables efficient similarity search and retrieval for modern data-driven applications.

```xml <problem> Existing vector databases often suffer from high costs and operational complexity, hindering the ability of companies to fully leverage their data for modern applications. Scaling these databases can be particularly challenging, leading to limitations in product ambition due to cost and performance constraints. </problem> <solution> Turbopuffer offers a serverless vector and full-text search engine built on object storage, providing a cost-effective and scalable solution for managing large-scale vector embeddings. By separating compute and storage and utilizing a tiered storage engine with NVMe SSD and memory cache, Turbopuffer achieves high performance with significantly reduced costs. The system caches actively searched data while storing the rest in low-cost object storage, enabling efficient similarity search and retrieval for billions of documents. This architecture allows users to perform both vector and full-text searches, narrowing down millions of documents to a manageable subset for further analysis and customization. </solution> <features> - Serverless architecture built on object storage (e.g., S3) for scalability and cost-efficiency - Tiered storage engine with NVMe SSD and memory cache for optimized performance - Combines vector and full-text search capabilities for comprehensive data retrieval - Scales horizontally to handle billions of documents with high write and query rates - Competitive pricing due to efficient use of object storage and caching mechanisms - Focuses on first-stage retrieval to narrow down large datasets quickly - Offers a streamlined approach for building customizable search applications - SOC2 Type 2 certified and HIPAA compliant, ensuring security and compliance </features> <target_audience> Turbopuffer targets companies and developers building data-driven applications that require scalable and cost-effective vector search, including those working with LLMs, search engines, and information retrieval systems. </target_audience> <revenue_model> Turbopuffer offers tiered pricing plans, including a Launch plan at $64/month and a Scale plan at $256/month, with enterprise options available; pricing is based on a minimum commitment and usage. </revenue_model> ```

What does turbopuffer do?

Employees

12 employees

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turbopuffer

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Executive Summary

turbopuffer.com 1K+

Funding

No funding information available.

Team (10+)

No team information available.

Company Description

Problem

Existing vector databases often suffer from high costs and operational complexity, hindering the ability of companies to fully leverage their data for modern applications. Scaling these databases can be particularly challenging, leading to limitations in product ambition due to cost and performance constraints.

Solution

Turbopuffer offers a serverless vector and full-text search engine built on object storage, providing a cost-effective and scalable solution for managing large-scale vector embeddings. By separating compute and storage and utilizing a tiered storage engine with NVMe SSD and memory cache, Turbopuffer achieves high performance with significantly reduced costs. The system caches actively searched data while storing the rest in low-cost object storage, enabling efficient similarity search and retrieval for billions of documents. This architecture allows users to perform both vector and full-text searches, narrowing down millions of documents to a manageable subset for further analysis and customization.

Features

Serverless architecture built on object storage (e.g., S3) for scalability and cost-efficiency

Tiered storage engine with NVMe SSD and memory cache for optimized performance

Combines vector and full-text search capabilities for comprehensive data retrieval

Scales horizontally to handle billions of documents with high write and query rates

Competitive pricing due to efficient use of object storage and caching mechanisms

Focuses on first-stage retrieval to narrow down large datasets quickly

Offers a streamlined approach for building customizable search applications

SOC2 Type 2 certified and HIPAA compliant, ensuring security and compliance

Target Audience

Turbopuffer targets companies and developers building data-driven applications that require scalable and cost-effective vector search, including those working with LLMs, search engines, and information retrieval systems.

Revenue Model

Turbopuffer offers tiered pricing plans, including a Launch plan at $64/month and a Scale plan at $256/month, with enterprise options available; pricing is based on a minimum commitment and usage.