Verdict
Finding
Your plane
Keep shipping. Drop their markup.
Stay on Railway when you want them to own the machines. Move to dFlow when you want production without their bill.
Custody
Who owns production
Railway keeps the machines. dFlow lets you keep shipping without their bill.
Control
Railway-managed metal
Your nodes, any cloud
Cost
Usage + platform bill
Infra you already pay
Lock-in
Their plane
Portable by design
Instrument
What you keep. What you leave.
Railway is easy on day one. dFlow is production without their markup. Auto-deploy on push is GitHub and GitLab only.
| Capability | Railway | dFlow |
|---|---|---|
| Shipping | ||
| Where the workload runs | Fully managed on Railway infrastructure | Worker nodes you connect, or dFlow compute |
| Push-to-ship workflow | Git-based deploy flow | Git-based deploy; auto-deploy from GitHub and GitLab |
| Custom domains | Supported | Supported |
| SSL certificates | Automatic | Automatic, with custom config options |
| Workflow | ||
| Day-one learning curve | Very easy to get started | Slightly steeper, with more control |
| Framework support | Works best in platform conventions | Any framework, frontend and backend |
| Team permissions | Basic team access controls | Granular roles and permission controls |
| Control | ||
| Who owns the machines | Runs on Railway-managed infrastructure | Deploy on your own nodes, any cloud, or managed infra |
| Private service networking | Private networking available | Zero-trust private networking with Tailscale |
| Monitoring and logs | Service-level visibility and logs | Worker-node level monitoring and logs |
| What you can take with you | Higher lock-in to platform choices | Low lock-in, portable by design |
| Where the compute bill grows | Usage-based platform billing | Pay the node, not a platform markup on compute |
| Open-source foundation | Closed-source platform | Open source core, portable by design |
Spec
When their markup starts to matter
Keep shipping the same way. Leave their machines and their bill behind.
- 01
Railway-style push on machines you control
Best for · Teams that want Railway-style speed on servers they own
Deploy from Git with the same push-to-ship workflow, on cloud VMs or bare-metal you own. Auto-deploy on push from GitHub and GitLab.
Railpack · Docker · Next.js · GitHub · Dokku
- 02
Workers that outgrow managed-service ceilings
Best for · Products with sustained queue throughput
Run long-lived workers and cron jobs with explicit resource limits instead of Railway’s opaque service ceilings.
Redis · Docker · PostgreSQL · Dokku · GitHub
- 03
Private service paths without extra platform lock
Best for · Teams connecting internal services securely
Route service-to-service traffic over encrypted Tailscale tunnels with no public endpoints required.
Tailscale · Cloudflare · Docker · PostgreSQL · Dokku
- 04
Databases without add-on markup
Best for · Teams avoiding platform add-on markups
Run Postgres, MySQL, or Redis on your own nodes or connect external managed providers without per-service add-on fees.
PostgreSQL · MySQL · MongoDB · Redis · MariaDB · Docker
Transfer
Keep shipping. Drop their markup.
Stay on the product. Run production without their bill.
- Push
- GitHub and GitLab auto-deploy
- Plane
- Nodes you already pay for
- Tax
- None on nodes you connect