Fastly Compute@Edge vs Cloudflare Workers
A detailed comparison to help you choose between Fastly Compute@Edge and Cloudflare Workers.
 Fastly Compute@Edge Serverless on Fastly's programmable CDN edge | Cloudflare Workers Deploy serverless code globally on Cloudflare's edge network | |
|---|---|---|
| Overview | ||
| Rating | 4.3 (164 reviews) | 4.6 (437 reviews)✓ |
| Pricing model | freemium | freemium |
| Starting price | Free tier available | Free tier available |
| Best for | Developers needing ultra-low latency serverless at Fastly's edge with WebAssembly runtimes | Teams building latency-sensitive APIs, middleware, and dynamic content serving that need global distribution without provisioning servers. |
| Specifications (entry plan) | ||
| CPU cores | — | 0 vCPU |
| RAM | — | 0 GB |
| Storage | — | 0 GB |
| Bandwidth | — | 0 TB/mo |
| SLA uptime | — | 99.99% |
| Data-center count | — | 300 |
| Features | ||
| IPv6 | ✓ | |
| DDoS protection | ✓ | |
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ✓ | |
| Data-center locations | ||
| Regions | — | Global — 300+ cities |
| Tags | ||
| Tags | free tierapi accesseu datacenterus datacenterapac datacenter | free tierddos protectionipv6eu datacenterus datacenterapac datacenterapi accessopen source |
| Visit Fastly Compute@Edge → | Visit Cloudflare Workers → | |
Fastly Compute@Edge
Pros
- + WebAssembly runtime — fast startup
- + Fastly's global edge network
- + Multiple language support via WASM
Cons
- - Fastly pricing premium
- - WASM compilation adds complexity
Cloudflare Workers
Pros
- + Execute code in sub-50ms globally across Cloudflare's network
- + Eliminate cold starts with always-hot edge execution
- + Integrate directly with Cloudflare's DDoS protection and caching
- + Support multiple languages including JavaScript, Python, and Rust
- + Scale automatically without managing infrastructure
Cons
- - CPU time limits (10ms free tier) restrict computation-heavy workloads
- - Learning curve for developers unfamiliar with edge computing paradigms
- - Vendor lock-in with proprietary APIs like Durable Objects
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