Cloudflare Vectorize vs Amazon S3 Vectors
A side-by-side comparison of Cloudflare Vectorize and Amazon S3 Vectors, 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 VectorizeAmazon S3 Vectors
Vector DBNative vector storage and querying in S3 — serverless, billion-vector scale.
View Amazon S3 VectorsAt a glance
| Attribute | Cloudflare Vectorize | Amazon S3 Vectors |
|---|---|---|
| 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 | Amazon Web Services |
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
Amazon S3 Vectors
Pay only for storage and queries — AWS claims up to 90% lower cost than dedicated vector DBs for large, infrequently queried indexes.
- Two billion vectors per index
- S3 durability and elasticity
- No idle compute costs
- Native Bedrock Knowledge Bases integration
- Locked to the AWS ecosystem
- Cold queries are sub-second, not low-latency
- Up to 100 results per query