# Turbopuffer: what AI models say (September 2026)

Source: Memetik Index, https://www.memetik.ai/vendors/turbopuffer
Website: https://turbopuffer.com

Turbopuffer was named in 7 of 50 AI answers across 1 category. Best position: Vector databases, 14% answer share, ranked #11, named first in 0%.

## What Turbopuffer is

Turbopuffer is a vector and full-text search database built on object storage. It is for AI applications, semantic search, recommendation systems and other use cases that require similarity search. It has Launch, Scale and Enterprise plans, with minimum usage of $16, $256 and at least $4,096 per month.

It separates compute from storage and moves data between NVMe and object storage. The database supports vector and full-text search, including hybrid search, metadata filtering, document writes and queries.

Pricing: It has Launch, Scale, and Enterprise plans with minimum usage of $16/month, $256/month, and at least $4,096/month respectively.
(From Turbopuffer's own website, read 2026-09-02.)

## By category

| Category | Rank | Answer share | Named first | Models |
|---|---|---|---|---|
| Vector databases (https://www.memetik.ai/index/vector-databases) | #11 of 16 | 14% | 0% | Claude Opus 5, Claude, Gemini, Gemini 3.5 Flash |

## What the models said

> "This allows you to start on pgvector or Pinecone for speed and migrate to Qdrant or Turbopuffer later if cost or scale requirements change."
> — Gemini, Vector databases

> "Pinecone and Turbopuffer are managed serverless options for teams that want hosted infrastructure."
> — Claude, Vector databases

> "Use Pinecone or Turbopuffer if you'd rather pay to avoid operating anything."
> — Claude Opus 5, Vector databases