Koyeb vs Railway
A detailed comparison to help you choose between Koyeb and Railway.
Quick Verdict
3.6/5
Koyeb
341 reviews
4.9/5
Railway
506 reviews
Railway is rated higher (4.9 vs 3.6). Koyeb is a developer-friendly serverless platform that deploys apps at the edge globally using just Docker or Git. Supports any language and framework. Free tier for small apps. Developer platform for deploying any app with databases in seconds — deploys from GitHub with no config. Usage-based pricing means you only pay for what you run.
Koyeb Serverless PaaS with global edge deployment | Railway Deploy in seconds, scale in minutes | |
|---|---|---|
| Overview | ||
| Rating | 3.6 (341 reviews) | 4.9 (506 reviews)✓ |
| Pricing model | freemium | freemium |
| Starting price | Free tier available | Free tier available |
| Best for | Developers wanting a simple global deployment platform with edge presence and Docker support | Developers who want a project running in production within 60 seconds with no config files |
| Specifications (entry plan) | ||
| CPU cores | — | 0 vCPU |
| RAM | — | 0.5 GB |
| Storage | — | 0 GB |
| Bandwidth | — | 0 TB/mo |
| SLA uptime | — | 99.9% |
| Data-center count | — | 2 |
| €/GB RAM/mo | — | €0.00 |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ✓ | |
| Free tier | ✓ | |
| Data-center locations | ||
| Regions | — | United States |
| Tags | ||
| Tags | free tiermanaged optioneu datacenterus datacenterapac datacenter | free tiermanaged optionus datacenterapi access |
| Visit Koyeb → | Visit Railway → | |
Koyeb
Pros
- + Global edge deployment in minutes
- + Any language via Docker
- + Free tier available
Cons
- - Newer platform — smaller community
- - Less documentation than Render
Railway
Pros
- + Fastest time-to-deploy of any platform
- + Usage-based pricing — pay only for what runs
- + PostgreSQL, MySQL, Redis, MongoDB all one-click
Cons
- - Less suitable for large-scale production workloads
- - Pricing can surprise at higher usage levels
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