turbopuffer

turbopuffer

Serverless vector and text search database

Overview

Turbopuffer provides a serverless vector and full-text search database for AI applications. Its tiered storage combines cheap object storage as the main data store with an NVMe cache and memory, automatically moving data between tiers so hot data stays fast while cold data stays inexpensive, delivering warm query latency under 10ms. The approach cuts costs versus in-memory vector databases—some users report up to 95% savings—by targeting workloads with power-law access patterns. The company aims to make AI infrastructure affordable and scalable through serverless search and vector capabilities that optimize storage and access automatically.

About turbopuffer

Simplify's Rating
Why turbopuffer is rated
B
Rated B on Competitive Edge
Rated A on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Enterprise Software

AI & Machine Learning

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Ottawa, Canada

Founded

2023

People at turbopuffer

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Simplify's Take

What believers are saying

  • 90% cost reduction for clients compared to in-memory vector databases, targeting AI workloads with power-law access.
  • $100M annual run-rate achieved by March 2026, with 10x sales growth and 5x headcount increase in 2025.
  • Manages 4 trillion documents with 10M+ writes/s and 25k+ queries/s, proving massive scalability for AI applications.

What critics are saying

  • pgvector dominance in cost-sensitive RAG under 10M vectors erodes entry-market share within 6–12 months, high impact.
  • Qdrant's superior hybrid search and 15–40ms latency outperforms Turbopuffer's cold queries, alienating real-time RAG users.
  • Turbopuffer's 300–800ms cold-query latency blocks real-time AI agent applications, enabling competitors to win production contracts.

What makes turbopuffer unique

  • Serverless architecture using object storage as primary data store with NVMe and RAM caching layers.
  • Commercial-only model without free tier, targeting high-quality support and rapid development in open-source market.
  • Write-ahead log on object storage keeps nodes stateless, enabling cost-effective scaling and strong consistency.

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Growth & Insights

Headcount

6 month growth

-9%

1 year growth

-6%

2 year growth

-19%

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