Cloudflare Workers vs Lagon
A detailed comparison to help you choose between Cloudflare Workers and Lagon.
Cloudflare Workers Deploy serverless code globally on Cloudflare's edge network | Lagon Open source Cloudflare Workers alternative | |
|---|---|---|
| Overview | ||
| Rating | 4.6 (437 reviews)✓ | 4.2 (378 reviews) |
| Pricing model | freemium | free |
| Starting price | Free tier available | Free |
| Best for | Teams building latency-sensitive APIs, middleware, and dynamic content serving that need global distribution without provisioning servers. | Developers wanting an open source Cloudflare Workers alternative for edge computing they can self-host |
| 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 tierddos protectionipv6eu datacenterus datacenterapac datacenterapi accessopen source | free tieropen sourceself hostable |
| Visit Cloudflare Workers → | Visit Lagon → | |
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
Lagon
Pros
- + Open source and self-hostable
- + Cloudflare Workers API compatible
- + Free cloud tier
Cons
- - Early stage — not production-ready for critical workloads
- - Smaller community
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