Railway alternative for container apps, functions and scheduled jobs
Railway and Inquir both run services from a Dockerfile or an image, with databases, private networking and volumes. Inquir also puts functions, webhooks, durable jobs and pipelines with schedules in the same workspace, so a cron job or a webhook handler does not have to become one more always-running service. The service shape is familiar; the differences are in what sits around it and in how you pay.
Last updated: 2026-06-28
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Direct answer
Railway alternative for container apps, functions and scheduled jobs. Container apps on Inquir cover the familiar shape: a Dockerfile built on the platform or an image you already publish, digest-pinned releases that take traffic only after your health check passes, rollback to the previous release, named volumes, Postgres and Redis from templates, and a private <slug>.apps.internal address for every app.
When it fits
- You want services, databases, functions and scheduled pipelines in one workspace with shared secrets and logs
- You prefer a fixed plan price with the resources of each plan listed up front
Tradeoffs
- Your services already run well on Railway, the team likes its project canvas and templates, and usage-based billing matches your traffic.
- You rely on Railway-specific features or regions. Check its current documentation for what your plan includes before you plan a move.
Workload and what breaks
What to compare when you look past Railway
- Where the web service, its database and its workers live, and how they reach each other over a private network
- How recurring jobs and webhook handlers run: as services of their own, or as functions and pipelines next to the app
- How releases, health checks and rollback behave when a deploy goes wrong
- How billing behaves: Railway prices by usage, Inquir plans have a fixed price—check each provider’s current pricing
Railway is a strong home for services and databases. If you are weighing a move, compare the full path of one real feature—the service, its database, the background work and the scheduled jobs around it—rather than a single hello-world deploy.
Trade-offs
When Railway is the better fit
Your services already run well on Railway, the team likes its project canvas and templates, and usage-based billing matches your traffic.
You rely on Railway-specific features or regions. Check its current documentation for what your plan includes before you plan a move.
How Inquir helps
What Inquir adds around the container
Container apps on Inquir cover the familiar shape: a Dockerfile built on the platform or an image you already publish, digest-pinned releases that take traffic only after your health check passes, rollback to the previous release, named volumes, Postgres and Redis from templates, and a private <slug>.apps.internal address for every app.
Next to them, the same workspace runs functions behind an API gateway, durable jobs with retries and pipelines with schedules. A nightly sync or a webhook handler can be a function or a pipeline step instead of another always-running service, and it shares secrets, logs and run history with the app.
What you get
Inquir vs Railway
Services
Both: services from a Dockerfile or an image, environment variables, logs and private networking. Inquir: releases pinned by image digest, a switch only after the health check passes, and rollback to the previous release.
Databases
Inquir: Postgres and Redis from a template on a persistent volume; connecting one to an app writes the private connection URL into its variables. Railway: database templates of its own—check its docs for current options.
Scheduled and background work
Inquir: pipelines with cron schedules, run history and step retries, plus durable jobs started from a handler. Railway: scheduled services—check its docs for how retries and run history work today.
Billing
Inquir: fixed plan prices, in US dollars (monthly) or in roubles (monthly or yearly, through YooKassa). A payment in euros is the US dollar price converted at the payment agent’s rate on the charge date. Railway: usage-based—check its current pricing.
What to do next
How to try Inquir next to Railway
Deploy one service
Run inquir apps deploy in the service directory, or release the image you already push. Set its port and health check, then promote the release.
Attach its database
Create Postgres or Redis from a template and connect it to the service; the private connection URL lands in the app’s variables. Move the data with your usual dump and restore.
Move the jobs around it
Turn a cron service or a worker into a pipeline with a schedule, or a function that starts a durable job, and compare run history and retries.
Code example
A service, its database and a scheduled job
The service and its database run as container apps. The recurring job becomes a pipeline step instead of another always-running service.
# the service, built from ./Dockerfile on the platform inquir apps create web --port 3000 inquir apps deploy web # then promote the release once its health check passes # Postgres from a template; its URL goes into web's variables inquir apps create db --template postgres inquir apps connect db web
export async function handler(event) { // Started by a cron trigger on a pipeline; retried per step on failure const removed = await deleteExpiredSessions(); return { removed }; }
When it fits
Choose Inquir over Railway when
When this works
- You want services, databases, functions and scheduled pipelines in one workspace with shared secrets and logs
- You prefer a fixed plan price with the resources of each plan listed up front
When to skip it
- Your team is productive on Railway and its usage-based billing fits—moving a working setup needs a concrete reason
FAQ
FAQ
Can I move a Railway service as is?
Usually, if it builds from a Dockerfile or runs from an image: deploy it with inquir apps deploy, set the same port and environment variables, and add a health check. A service built without a Dockerfile needs one first.
Does Inquir have a free tier?
Only on request: the Free plan ($0) is enabled individually, subject to available capacity. Paid plans are Simple and Pro, and plans differ only in resources (CPU, RAM, storage, replicas, workspaces, invocations); see the pricing page.