AI
Vectorize review
Score: 5/10A fine starter vector database; you'll feel the ceiling.
The breakdown explains the score. It is not an average. How to read these.
Last updated
Vectorize is Cloudflare’s vector database. You create an index, insert embeddings, and run similarity queries through a Workers binding. It is convenient and reasonably priced for adding semantic search or basic RAG to an existing Workers app.
The constraints appear quickly at scale. Index sizes are capped, metadata filtering is limited, and hybrid search is largely absent. Latency is acceptable rather than impressive. Using Workers AI for embeddings also ties Vectorize to that product’s reliability.
It is good enough for prototypes and modest production search features. Teams with serious retrieval workloads will eventually need a dedicated vector store. Treat Vectorize as convenient middleware, not a destination database.
Status page incidents
Cloudflare's own record, published under Vectorize.
- Last 17 months
- 1
- Major or critical
- 0
- Median time open
- 1.4 h
- Since April 2025
- 2
Counts what Cloudflare published, not what broke: time open is how long the status entry stayed open, and nothing before April 2025 is tracked at all. Incidents Cloudflare tagged against nothing but named in the title are counted too. The caveats in full.