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Turbopuffer

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Serverless vector and full-text search engine built on object storage for AI applications.

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Tracked since2026
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The Bottom Line

Entry price

Paid plans only

Biggest pro

Significantly reduces operational costs compared to traditional vector databases.

Biggest con

Requires a minimum monthly commitment for all pricing tiers.

TL;DR - Turbopuffer

  • Serverless vector and full-text search database.
  • Built on object storage for 10x cost savings and extreme scalability.
  • Achieves sub-10ms p50 latency for billions of vectors.
Pricing: Paid only
Best for: Enterprises & pros

What is Turbopuffer?

Editorial review
Turbopuffer is a serverless vector and full-text search database designed for high-performance, cost-effective, and scalable search capabilities. It is built from first principles on object storage, allowing it to handle massive datasets and high query loads efficiently. The platform is engineered to separate compute and storage, leveraging NVMe and object storage for optimal cost and performance. This product is ideal for AI applications, semantic search, recommendation systems, and any use case requiring high-performance similarity search. It serves companies that need to connect AI with large amounts of fresh data without incurring the high costs and operational complexity of traditional vector databases. Turbopuffer is trusted by leading companies for production workloads, handling trillions of documents and millions of writes per second. Key benefits include significant cost savings (up to 10x cheaper than alternatives), automatic scaling to support billions of vectors, and low-latency query responses. Its architecture ensures reliability and performance, making it suitable for critical production systems.

Pros & Cons

Pros

  • Significantly reduces operational costs compared to traditional vector databases.
  • Handles massive scale with 2.5T+ documents and 10M+ writes/s in production.
  • Provides extremely low latency search results, even for large datasets.
  • Offers robust security and compliance features including SOC2, GDPR, and HIPAA readiness.

Cons

  • Requires a minimum monthly commitment for all pricing tiers.
  • Specific details on data migration tools from other databases are not explicitly detailed.
  • The 'Launch' plan does not include HIPAA readiness or SSO.

Preview

Key Features

Serverless architectureAutomatic scalingLow latency (sub-10ms p50)Support for billions of vectorsFull-text searchHybrid searchMetadata filteringCost-effective (10x cheaper)

Pricing Plans

Pricing checked Jun 10, 2026

launch

$64 / month

Everything in all plans.

scale

$256 / month

Everything in all plans, plus:

  • HIPAA-ready BAA
  • Single Sign-On (SSO)
  • Private Slack Channel
  • Support Hours 8-5

enterprise

Contact us

Everything in all plans, plus:

  • Single-Tenancy
  • BYOC
  • HIPAA-ready BAA
  • Single Sign-On (SSO)
  • CMEK (Per Namespace)
  • Private Networking
  • Private Slack Channel
  • Support Hours 24/7

Included in all plans

  • All database features
  • Multi-Tenancy
  • SOC2 report, GDPR-ready DPA
  • Community Slack & Email

Reviews

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Turbopuffer FAQ

How does Turbopuffer achieve cost savings compared to other vector databases?

Turbopuffer is built on object storage and separates compute and storage, which allows it to be up to 10x cheaper than alternative solutions. This architecture helps reduce operational costs significantly while handling massive datasets efficiently.

Which teams would benefit most from using Turbopuffer?

Teams developing AI applications, semantic search engines, or recommendation systems will find Turbopuffer particularly useful. It is designed for companies that need to connect AI with large amounts of fresh data without the high costs and operational complexity of traditional vector databases.

How does Turbopuffer compare to Pinecone regarding its architecture?

Turbopuffer is built from first principles on object storage and utilizes a serverless architecture, separating compute and storage for optimal cost and performance. This design allows it to handle massive datasets and high query loads efficiently.

What kind of scalability does Turbopuffer offer for AI applications?

Turbopuffer automatically scales to support billions of vectors and has been proven in production to handle over 2.5 trillion documents and millions of writes per second. Its architecture ensures robust performance even with massive datasets and high query loads.

Does Turbopuffer include a free tier for new users?

Turbopuffer is a paid product and does not offer a permanently free tier. All pricing tiers require a minimum monthly commitment to access its features and capabilities.

What are the limitations of Turbopuffer's 'Launch' plan?

The 'Launch' plan for Turbopuffer does not include HIPAA readiness or Single Sign-On (SSO) capabilities. Users requiring these features would need to consider higher-tier plans.

Can Turbopuffer handle production workloads requiring high data throughput?

Yes, Turbopuffer is trusted by leading companies for production workloads, handling trillions of documents and millions of writes per second. Its architecture ensures reliability and performance suitable for critical production systems.

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