Railway vs dFlow
Railway makes deployments simple. dFlow takes it further - deploy anywhere: your own servers, your cloud, or ours. Keep the same ease of use, unlock full control, and avoid vendor lock-in.
Key Differences
Why teams move from Railway to dFlow.
Bring Your Own Servers
Deploy on your infrastructure, in any cloud, or purchase servers from dFlow - complete freedom of choice.
Private Network (Tailscale)
Every server and service runs inside a secure private network powered by Tailscale.
Open Source
dFlow is open source at its core - giving you transparency, flexibility, and full community-driven innovation.
Feature Comparison
See how dFlow stacks up against Railway.
| Feature | Railway | dFlow |
|---|---|---|
| Infra Control | Managed Only | Bring Your Own Servers / Cloud |
| Database | Any DB / External | Any DB / External |
| Configuration | Zero Config | Zero Config |
| Automation | Yes | Yes |
| Integrations | Built-in Only | Multiple |
| Visual Builder | Yes | Yes |
| Enterprise Features | Yes | Yes |
| Learning Curve | Easy | Moderate |
| Collaboration | Basic | Advanced Roles |
| Monitoring | Service-based | Server-based |
| Open Source | Closed | Yes |
| Pricing | Usage-based | Free (server cost only) |
Perfect for Every Heroku Use Case
dFlow runs all the same workloads you love from Heroku - but with better performance, full infrastructure control, and lower costs.
Web Applications
Full-stack apps with React, Vue, or plain HTML/CSS/JS
Examples: E-commerce sites, SaaS platforms, portfolios
Migration Advantage:
Direct 1:1 migration from Railway with improved performance
API Services
REST APIs, GraphQL endpoints, and microservices
Examples: Node.js APIs, Python Flask/FastAPI, Go services
Migration Advantage:
Keep your existing API structure, gain better scaling
Background Workers
Run async jobs, queues, and scheduled tasks reliably
Examples: BullMQ workers, Celery tasks, cron jobs
Migration Advantage:
No auto-sleep - background tasks run continuously without interruptions
Databases & Caches
Deploy persistent databases and fast in-memory stores
Examples: Postgres, MySQL, Redis
Migration Advantage:
No hidden limits, better persistence, and full control over storage