Doable vs Railway
Railway and Doable are the two closest peers in this list, both deploy containers and both target developers who don't want to wrangle Kubernetes. The differences are pricing model (Railway is usage-based, Doable is flat), AI-tool integration (Doable ships a first-class MCP server), and BYO servers (Doable supports them, Railway doesn't).
| Feature | Doable | Railway |
|---|---|---|
| Pricing model | Flat per-month: Free / $15 / $39 | Pay-as-you-go: $5/mo subscription + usage |
| Bring-your-own server | Yes, agent on any Linux host | No, must use Railway infrastructure |
| Managed databases | Attach external (Neon, Supabase, Upstash, Atlas) via `addon attach` | Built-in Postgres / MySQL / Redis / Mongo |
| AI-tool integration | First-class MCP server | CLI-only |
| Free tier | 1 project, 20-min build, no card required | Trial credits; ongoing use requires subscription |
| Build output | Standard Docker image | Railway-built (Nixpacks or Dockerfile) |
For predictable workloads, Doable's flat pricing usually wins, $15/mo for Starter covers 3 projects with no usage metering. For bursty workloads or projects that need short-lived bursts of compute, Railway's pay-as-you-go can be cheaper.
You attach an external one (Neon, Supabase, Upstash, Atlas, or any Postgres URL) via `doable addon attach`. Doable doesn't provision databases itself yet, by design, since the dedicated managed-Postgres providers are very good and can run on your existing accounts.
Yes, if your project has a Dockerfile it works directly. If you used Railway's Nixpacks build, Doable detects the runtime (Node, Python, etc.) the same way, so most projects move over without changes.
No credit card. Deploy your first project in under a minute.
Alternatives
Honest rundown of 4–6 options, with caveats for each.
Migration guide
Step-by-step, including env vars and DNS cutover.
Deploy
Deploy FastAPI with uvicorn in a standard container.
Deploy
Deploy Django apps with gunicorn.