Cloudflare Vectorize vs Turbopuffer
A side-by-side comparison of Cloudflare Vectorize and Turbopuffer, two Vector DB tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Cloudflare Vectorize
Vector DBA globally distributed vector database built into Cloudflare Workers.
View Cloudflare VectorizeAt a glance
| Attribute | Cloudflare Vectorize | Turbopuffer |
|---|---|---|
| Category | Vector DB | Vector DB |
| Pricing (differs) | FREEMIUM | PAID |
| License | Proprietary | Proprietary |
| Deployment | Cloud | Cloud |
| Platforms (differs) | API, CLI, Web | API |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | Cloudflare | Turbopuffer |
The honest brief
Cloudflare Vectorize
Unlike standalone vector DBs, it lives inside Cloudflare Workers, so embeddings, search, and storage (R2/D1/KV) all run on one global edge platform.
- Native to Cloudflare Workers and edge
- Free tier on Workers Free/Paid plans
- Embeddings from Workers AI or external
- No infrastructure to manage
- Low-latency queries from the edge
- Tied to the Cloudflare ecosystem
- Fewer index/algorithm knobs than dedicated DBs
- 5M vectors-per-index ceiling
- Younger than standalone vector databases
Turbopuffer
Indexes live on object storage, not RAM, so cost tracks usage not corpus size — built for huge, mostly-cold vector workloads.
- S3-like billing: cold rest, warm reads
- Scales to very large, cold corpora
- No per-namespace minimums
- Proven at Notion production scale
- Cold reads have higher latency
- Paid-only, no free self-host
- API-only, no managed UI
- Less mature ecosystem than peers