vs

Cloudflare Vectorize vs Upstash

Cloudflare Vectorize: Globally distributed serverless vector index for Cloudflare Workers and Workers AI. Upstash: Serverless, per-request-priced Redis with an HTTP API built for edge and serverless functions.

key differences

  • Cloudflare Vectorize is primarily a vector database; Upstash is key-value.
  • Cloudflare Vectorize is built for larger datasets (≤ 10 TB) than Upstash (≤ 100 GB).
  • Transactions: Cloudflare Vectorize offers none ACID; Upstash offers limited.
  • Only Cloudflare Vectorize has secondary indexes, vector search.
  • Only Upstash has transactions, geospatial, stored procedures, ttl / expiry, pub/sub.

choose cloudflare-vectorize for

  • +RAG chatbots on Cloudflare Workers
  • +Semantic search for edge-hosted sites
  • +Per-tenant knowledge bases in Workers apps

best at · Vector search, RAG, Edge

choose upstash for

  • +Rate limiting and caching in edge and serverless functions
  • +Session storage for Next.js and Vercel apps
  • +Side projects and low-traffic production apps

best at · Cache, Sessions, Queue

overview
Primary model
Vector
Key-Value
Also supports
–
–
Type
Managed service
Managed service
Status
Active
Active
Developer
Cloudflare
Upstash, Inc.
First release
2023
2021
Latest version
–
–
License
ProprietaryProprietary (Cloudflare service)
ProprietaryProprietary service
Free tier
✓
✓
popularity
WhichDB Score
0.4
20.4
Rank
#645
#158
GitHub stars
–
982
Stack Overflow questions
–
2
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Small (≤ 100 GB)
Horizontal scaling
Native
Native
Multi-region
None
Read replicas
ACID
None
Limited
Consistency
Eventual
Eventual
Schema
Schemaless
Schemaless
Architecture
Serverless, Distributed
Serverless, Distributed, Primary replica
deployment
Self-hosted
—
—
Vendor-managed cloud
✓
✓
Serverless
✓
✓
Embedded
—
—
Edge
✓
✓
Clouds
Cloudflare
AWS, Google Cloud, Azure
capabilities
Transactions
—
✓
Joins
—
—
Secondary indexes
✓
—
Full-text search
—
—
Vector search
✓
—
Geospatial
—
✓
JSON
✓
✓
Change data capture
—
—
Triggers
—
—
Stored procedures
—
✓
Materialized views
—
—
TTL / expiry
—
✓
Pub/Sub
—
✓
Columnar storage
—
—
In-memory
—
✓
Durable persistence
✓
✓
Compression
—
—
Encryption at rest
—
✓
Role-based access
—
✓
Time travel
—
—
Branching
—
—
Online schema changes
—
—
Streaming ingest
—
—
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
Vectorize Workers binding API, REST API
Redis commands (RESP), Lua
Client languages
JavaScript, TypeScript, Python (Workers)
JavaScript, Python, Go, Java, Rust, PHP
Best for
Vector search, RAG, Edge
Cache, Sessions, Queue, Pub/Sub

Cloudflare Vectorize vs Upstash: FAQ

What is the difference between Cloudflare Vectorize and Upstash?

Cloudflare Vectorize: Globally distributed serverless vector index for Cloudflare Workers and Workers AI. Upstash: Serverless, per-request-priced Redis with an HTTP API built for edge and serverless functions. Cloudflare Vectorize is primarily a vector database; Upstash is key-value. Cloudflare Vectorize is built for larger datasets (≤ 10 TB) than Upstash (≤ 100 GB). Transactions: Cloudflare Vectorize offers none ACID; Upstash offers limited.

When should I choose Cloudflare Vectorize over Upstash?

Choose Cloudflare Vectorize for RAG chatbots on Cloudflare Workers, semantic search for edge-hosted sites and per-tenant knowledge bases in Workers apps. Choose Upstash for rate limiting and caching in edge and serverless functions; session storage for Next.js and Vercel apps; and side projects and low-traffic production apps.

Is Cloudflare Vectorize or Upstash more popular?

Upstash ranks #158 on the WhichDB Score (20.4/100) and Cloudflare Vectorize ranks #645 (0.4/100). Popularity is not fit: check the requirements that matter for your project.

Are Cloudflare Vectorize and Upstash open source?

No. Cloudflare Vectorize is proprietary, closed-source software. No. Upstash is proprietary, closed-source software.