Railway alternative to Heroku: the PaaS experience without the dyno tax

Why buyers actually switch from Heroku to Railway

Most teams that move from Heroku to Railway are chasing the same workflow at a saner price. When the free tier ended and dyno-plus-add-on bills stacked up, the economics stopped making sense.

1. The dyno tax adds up

Heroku charges per dyno and bills add-ons separately, so a modest app with a web process, a worker and a database becomes several line items. Railway bills for actual CPU, memory and network used.

2. Databases without the add-on marketplace

On Heroku a database is a provisioned, separately-billed add-on. Railway provisions Postgres, Redis and more in a click inside the project, so infrastructure lives in one place.

3. The free tier is gone

Heroku removed its free tier in 2022, which pushed a generation of hobby and side projects to look elsewhere. Railway's trial credit and low Hobby entry point filled that gap.

Deep dive: Usage-based pricing

Railway's central difference from Heroku is that you pay for what you use, not for fixed units.

Resource billing

CPU, memory and network are metered, so an app that is idle overnight costs less than one running hot all day — unlike a fixed dyno.

One bill for the whole project

Databases and services are billed together within the project rather than as a scatter of separate add-on charges.

Deep dive: The trade-offs of a newer platform

Track record

Heroku has a longer operational history and more compliance certifications, which matters for regulated workloads.

Where Railway fits

Small and mid-size teams running production without heavy compliance needs get the workflow they liked at a better price.

Who Railway is actually for

1. The side-project developer

Anyone displaced by Heroku's free-tier removal gets a low-cost, familiar deploy workflow.

2. The small startup

Teams that liked Heroku's simplicity but not its bill get usage-based pricing and in-project databases.

3. The team that wants preview environments

Environment branching mirrored to Git makes per-branch previews natural.

Migration walkthrough: how to switch from Heroku to Railway

Step 1: Connect your repo

Link your GitHub repo to Railway; it auto-detects the buildpack or Dockerfile and sets up the deploy.

Step 2: Provision databases

Add Postgres, Redis or MySQL with one click inside the project to replace your Heroku add-ons.

Step 3: Migrate your data

Dump your Heroku Postgres and restore it into the Railway database, verifying row counts after import.

Step 4: Move config vars

Copy your Heroku config vars into Railway's environment variables, scoped per environment.

Step 5: Recreate workers and crons

Set up any worker processes and scheduled jobs as services in Railway to match your Procfile.

Step 6: Cut over and monitor

Point DNS at Railway, keep Heroku live briefly, and watch resource usage and error rates before decommissioning.

Objection handling: “Is Railway stable enough to move production off Heroku?”

Many small and mid-size teams already run production on it, so the answer is generally yes — but be honest about the trade-off. Railway is a newer platform with a shorter operational track record and fewer compliance certifications than Heroku under Salesforce. That gap is irrelevant for a typical web app and very relevant if you carry SOC 2, HIPAA or similar obligations. The right move is to check your own uptime and audit requirements against what Railway publishes, run a non-critical service there first to build confidence, and only then migrate the production workload. For most teams the workflow and pricing win; for the most regulated, verify the certifications first.