Railway or Coolify: which fits your team's situation
Choose Railway if your team is small, wants regions and infrastructure handled for it, and accepts that the bill moves with usage. Choose Coolify if your data and servers must stay in a location you pick, or if you already have, or will hire, the operating capacity to run servers yourself. Neither answer is universal, and the decision turns on three questions your team should answer before comparing prices. Railway fits best when developers want to push code and get a running service without learning server administration. Its plan fee plus per-second CPU, memory, storage and egress billing is simple to start with, and the platform carries patching, host capacity and much of the incident load. The trade-off is that cost follows consumption, so a service with steady traffic or a growing database can become hard to forecast. Railway also runs in managed regions, so teams with a fixed data location need to confirm that the region they require is actually offered before committing. Coolify fits best when the team needs to decide where data and servers live and can staff the work that comes with that choice. Coolify is Apache-2.0 licensed and its self-hosted edition has no feature restrictions, so the software cost is zero, but you pay for rented servers and for the people who keep them patched, backed up and monitored. Before choosing it, confirm your compliance scope, check that someone owns on-call duties, and decide how much variable spend you can accept. If the answers point to fixed infrastructure costs and a defined owner for operations, Coolify is the stronger fit.
Which option fits which scenario
This table maps five common situations to the platform that fits better and the condition that would reverse the choice. Read each row against your own team size, residency rules and operations capacity, then check the conditions before committing.
| Scenario | Better fit | Why it fits | When the other option wins |
|---|---|---|---|
| A small team shipping one web app | Railway | Railway runs the build, hosting and managed database with no server to patch, so the team spends its time on the app itself. | Coolify wins once the team already rents servers and wants a flat, predictable server cost instead of metered usage that changes with traffic. |
| A team with an EU data residency rule | Coolify on an EU server you choose | Coolify runs on servers in a location you pick, so data and backups stay where your rule requires. Confirm the region with Railway before relying on it. | Railway wins if the EU West region in Amsterdam already meets your rule and your team does not want to run the servers. |
| A team with a platform engineer who wants full control | Coolify | Coolify exposes the proxy, server setup, databases and backup jobs to the operator, who can inspect and change each layer. | Railway wins if that engineer's time is better spent on product work and the team accepts Railway's defaults for networking and builds. |
| A team that needs multi-region replicas | Railway, after checking regions | Railway's managed regions can be chosen per service, and multi-region setups are an operational feature to verify in its current plan documentation. | Coolify wins when you are willing to design replicas across servers yourself, since Coolify's multi-server deployments need to be confirmed against your topology and database setup. |
| A team with no one to handle patching | Railway | Railway operates the underlying infrastructure, so OS updates, host incidents and platform upgrades are handled by the vendor. | Coolify wins only when someone on the team owns server patching, Docker updates, backups and on-call response on a fixed schedule. |
How builds and databases differ in practice
Railway builds each service from a connected repository or image and selects a build method through its service settings, including Railpack and Dockerfile builds. Databases and other backing services are added to the same project and run as platform-managed services, so most of the operational detail sits behind the Railway console. That convenience also means the team's answers to backup, restore and region questions depend on what the current plan and service type include, so those details need to be read from Railway's documentation and account settings rather than assumed from this page.
- Build method: Confirm which build method new services use by default and whether a Dockerfile in the repository overrides automatic detection.
- Database engines: Confirm which database engines and versions are available as services in your project and region.
- Backups: Confirm whether automated backups are included in your plan, how long they are kept and whether restores are self-service.
- Volumes: Confirm where volume data lives, whether it is included in backups and what moving it to another region involves.
- Rollbacks: Confirm whether a rollback restores only the previous code image or also database and volume state.
Write each answer into the migration plan before you schedule a cutover, because it sets the list of data you must export yourself.
Coolify connects to each server over SSH and builds applications from a Git repository, Dockerfile, Docker Compose file or prebuilt image, so the build stage runs on infrastructure you control. Its Git build packs are Nixpacks, Railpack (beta), Static, Dockerfile and Docker Compose, and a separate Docker Image method skips the build entirely by pulling an image that already exists. The choice of build pack determines what Coolify detects and what the team must maintain, so it is best made per service after a test build of the same repository.
- Nixpacks: Detects the language and framework and builds without a Dockerfile, which suits applications that Railway's automatic detection already handles.
- Railpack (beta): Coolify lists this option as beta, so pin the tested behavior and recheck it before each major change.
- Static, Dockerfile and Compose: Static builds suit compiled front ends, Dockerfile builds give full control of the image, and Compose builds cover multi-container services.
- Docker Image: Pulls an image that your CI pipeline already built, which keeps the artifact that was tested in production.
- Build parity: Confirm that a rebuild on Coolify produces the same start command, environment variables and healthcheck behavior as the Railway service.
Run each service through a staging build and compare the resulting image and startup logs before you point production domains at it. Read the build pack documentation to confirm supported versions before you choose a method.
Coolify deploys PostgreSQL, MySQL, MariaDB, MongoDB, Redis, Dragonfly, KeyDB and ClickHouse as one-click services, and it runs scheduled backups for only some of them. Scheduled backups cover PostgreSQL, MySQL, MariaDB, MongoDB and ClickHouse, while Redis, Dragonfly and KeyDB need a backup method the team designs and tests. Application rollbacks also have limits: Coolify's guidance for teams coming from managed platforms notes that a rollback can redeploy a retained application image but does not restore databases or persistent files.
- PostgreSQL backups: Use the pg_dump custom format, run on cron schedules and can upload to S3-compatible storage with retention by count, days or size.
- Uncovered engines: Scheduled backups do not cover Redis, Dragonfly or KeyDB, so plan their persistence and export separately.
- Restore paths: Import Backup accepts PostgreSQL SQL dumps, custom archives, tar archives and all-database dumps, so confirm the format your export produces.
- Rollback scope: A rollback redeploys the application image only, so database schema changes and persistent files need their own recovery plan.
- Restore testing: Confirm the restore time and data integrity in a staging server before the cutover date.
Before cutover, export each Railway database, restore it on Coolify and check row counts and application behavior. Review the managed platform migration guide to confirm the recovery steps that apply to your stack.
Where your data and control sit with each option
Railway and self-hosted Coolify split responsibilities differently, and the split decides where your application data, secrets and audit evidence live. The cards below follow one question at a time: where the data sits, who runs the control plane, and what an auditor will need to see.
Data location and hosting model
Railway runs your services on its own managed infrastructure, and its single EU region is EU West in Amsterdam. Self-hosted Coolify installs on servers you choose, so your applications and databases stay in the cloud account, data center or region you select. Confirm the physical location of each server, every backup target and any object storage bucket, because a Coolify instance can still send copies to a location you did not intend.
Who runs the control plane
With Railway, the platform operator runs the dashboard, build system and orchestration. The self-hosted edition of Coolify is Apache-2.0 licensed and free to self-host with all features, so the control plane runs on a server you operate. Coolify Cloud is a different model: Coolify hosts the instance on its managed infrastructure while you bring your own servers. Ask which of these two models a proposal assumes before you map responsibilities.
Identity and access
Railway accounts, team roles and API tokens sit with the vendor's identity system. In Coolify, the team, its roles and its API tokens are managed inside your instance, and SSH access to each server is a separate control you must govern. Review who holds root or sudo on every host, rotate the API tokens that deploy code, and decide whether single sign-on is required for administrators.
Secrets and environment variables
Environment variables and database credentials are stored where the platform keeps its configuration. In a self-hosted Coolify instance, that configuration lives in a database and on disk on servers you manage, so the encryption key, the backup of its database and the access path to both become your responsibility. Confirm how secrets are encrypted at rest, who can read them in the interface, and how they are restored after a server loss.
Compliance evidence you produce
DeployOpen plans, implements and documents controls, and prepares the evidence an assessment will ask for. DeployOpen does not issue audit reports, attestations or certifications; independent auditors and certification bodies do that work. With Railway, much of the infrastructure evidence comes from the vendor, while with self-hosted Coolify you collect access reviews, change records, backup restore tests and log retention yourself.
Auditor scope and vendor boundaries
Railway's compliance commitments, including any HIPAA business associate agreement, are scoped to the vendor's service. Self-hosted Coolify moves the audit boundary onto your servers, your network and your backup storage, and that boundary has to be drawn in writing before assessment begins. Ask Railway for its current attestation documents, and ask your auditor which systems, administrators and data flows fall inside the assessed scope.
What moving a Railway service to Coolify involves
The sequence takes a Railway project from an inventory of services and settings to a Coolify instance on your own servers, with rebuilt apps, restored databases, tested backups and domains moved over. Each phase closes with a check you can verify before the next one starts.
Inventory services, settings and data
List every service in the Railway project, including web services, workers, cron jobs, databases and volumes. For each one, record the build method, start command, pre-deploy command, healthcheck path, environment variables, custom domains and any cron schedule. Railway-specific configuration lives in files such as railway.json or railway.toml and in the dashboard, so confirm each value against your own project rather than relying on defaults. The step is done when you have a written inventory that another engineer could use to rebuild every service without access to Railway.
Provision and harden the target servers
Your platform or infrastructure team provisions Linux servers in a location you choose, using one of the distributions Coolify supports on amd64 or arm64. Apply your standard hardening baseline, restrict SSH access, open only the ports the workloads need and confirm each server has the minimum of 2 CPU cores, 2 GB RAM and 10 GB of free disk that Coolify's installation docs list. The step is done when each server passes your hardening checklist and a resource check, and when you have recorded who holds SSH and root access.
Install Coolify and connect the servers
Install Coolify with its installation script, sign in, and connect each target server over SSH so Coolify can prepare it for Docker workloads. Choose the proxy for each server, Traefik by default or Caddy, and confirm that the coolify-proxy container is running. Decide early how the Coolify instance itself is secured, including administrator accounts and API tokens. The step is done when every server shows as connected and healthy in Coolify and a test application can be deployed and reached over HTTPS.
Rebuild services with Railpack or a Dockerfile
Recreate each service as a Coolify application from its Git repository. Where Railway used Railpack, Coolify also offers Railpack as a build pack, though it is marked beta in Coolify's build pack documentation, so test it against your application. Where a service has a Dockerfile, use the Dockerfile build pack so the image is built from the same file. Translate the start command, pre-deploy command, healthcheck and environment variables from your inventory. The step is done when each service builds and runs in staging on Coolify and passes the same smoke tests it passes on Railway.
Move databases with dumps and restores
Export each database from Railway using the native dump format for its engine, then import it into the Coolify-managed database and verify row counts, schema and key application queries. Coolify's restore documentation lists the dump types it accepts for PostgreSQL, so confirm your export matches one of them. Plan the cutover window with the application team, because writes made on Railway after the final dump will not appear on Coolify. The step is done when the restored data matches the source on the checks you agreed and the application connects to the new database in staging.
Configure backups and test restores
Set up scheduled backups for each supported database in Coolify, and point them at S3-compatible storage outside the server if your policy requires off-server copies. Set retention by count, days or size according to your recovery requirements. Coolify's backup docs note that Redis, Dragonfly and KeyDB are not covered by scheduled backups, so define a separate approach for any of those services. Persistent files stored on Railway volumes need their own copy process. Run at least one full restore into a separate environment before cutover. The step is done when a backup has been restored successfully and you have a documented recovery procedure.
Cut over domains and configure preview DNS
Lower the time-to-live on your DNS records ahead of the change, point each production domain at the Coolify proxy, and confirm that HTTPS certificates are issued. If your team uses preview deployments, create the wildcard DNS record that Coolify's default preview URL pattern needs and confirm the Git provider integration for pull or merge requests. Keep Railway running until traffic has moved and error rates are stable. The step is done when all production domains resolve to Coolify over valid HTTPS and a test pull request produces a working preview.
Decommission Railway after a confirmed period
Once the cutover is stable, confirm with finance and engineering which Railway projects, volumes and databases can be removed, and export any remaining data you need to keep. Remove the services, revoke Railway tokens and webhooks, and update your runbooks, monitoring and on-call rotation to point at Coolify. Record the final state of the inventory. The step is done when no production traffic or scheduled jobs run on Railway, the retained exports are verified, and your access and billing records show the project closed.
Questions buyers ask before moving off Railway
Does self-hosting Coolify cost less than staying on Railway?
It can, but the answer depends on your usage and on the people time you add. Coolify's self-hosted edition is free, and Coolify's pricing page describes it as free forever with all features and no limitations. Your costs are the rented servers that run it, which must meet Coolify's minimum of 2 CPU cores, 2 GB RAM and 10 GB of free disk, plus backup storage, monitoring, and the engineering hours to patch and operate everything. Railway bills a plan fee plus per-second CPU, memory, storage and egress. Model both against your real workload: ask for a line-by-line estimate of each component, including backup storage and on-call time, before you decide.
How much ongoing operations work does self-hosted Coolify create?
Expect recurring work in four areas: operating system and Docker patching, Coolify upgrades, backup verification, and incident response. Railway handles the platform layer for you. With Coolify, your team owns the servers, the coolify-proxy container, TLS behavior if you choose the Custom (None) proxy option, and database backups. Coolify's own guide for teams coming from managed platforms makes the point that a rollback can redeploy an application image but does not restore databases or persistent files. Plan a named owner, a patch cadence, and alerting before cutover.
Can our team run the migration ourselves?
A team with Linux administration, Docker and reverse proxy experience can usually run a small migration in-house, provided it can rehearse the full cycle. You need comfort with SSH access, DNS changes, container logs, and database dump and restore. Coolify installs with a single script on supported Linux distributions, but production readiness depends on the surrounding work: backups tested by an actual restore, monitoring, access control and documented runbooks. If any of those skills are thin, a fixed-scope engagement from an implementation partner can cover the gap, and DeployOpen can scope that work in writing.
What skills and rehearsals does a Railway-to-Coolify move require?
The essential skills are Linux, Docker, DNS and TLS, plus database administration for each engine you run. The essential rehearsal is a restore: take a PostgreSQL backup, load it into a staging Coolify instance, and confirm the application starts and reads the expected data. Coolify's PostgreSQL backups use the pg_dump custom format, can upload to S3-compatible storage, and run on cron schedules with retention by count, days or size, and Import Backup accepts several dump formats. Do not cut over until a restore has succeeded at least once on the same versions you will run in production.
How long does moving off Railway take?
The duration depends on how many services you have, how much state they hold, how complex your build and deploy configuration is, and how many domains must move. Services with large databases need the most planning, because cutover timing depends on dump, transfer and restore speed. Start with a service inventory, then rehearse one low-risk service end to end before touching production. Ask any provider for a written timeline tied to a defined scope rather than a generic estimate.
Does Coolify support multi-region replicas like Railway's regions?
Coolify supports deploying applications across multiple servers, and its multi-server deployment documentation describes that model, but it does not map to a managed multi-region service in the way Railway's regions do. Multi-region replication of databases, failover and traffic routing between regions are work your team or partner would design and operate. Confirm the exact multi-server behavior, database replication options and any region-level routing you need against the current Coolify documentation and your own tests before you rely on it.
How are Redis backups handled in Coolify?
Coolify deploys Redis, along with Dragonfly and KeyDB, but its scheduled backups cover PostgreSQL, MySQL, MariaDB, MongoDB and ClickHouse only. Redis, Dragonfly and KeyDB do not get scheduled backups from Coolify. If your application depends on Redis data surviving a failure, you need a separate backup method, such as your own snapshot or persistence configuration and an off-server copy, and a tested restore procedure. Decide whether that cache data must be kept at all, since many Redis workloads treat it as disposable.
Risks to plan for after you switch
Moving from Railway to Coolify shifts backups, rollbacks, routing and patching from the platform to your team. The cards below cover the gaps that the supplied facts make concrete, so you can assign an owner to each before cutover.
Backup coverage gaps
Coolify's scheduled backups cover PostgreSQL, MySQL, MariaDB, MongoDB and ClickHouse, but not Redis, Dragonfly or KeyDB. If a Railway service uses Redis as a cache, confirm whether it holds data you must keep. If it does, plan a separate export or persistence method and test a restore before you retire the Railway copy.
Rollback limits for data
Coolify's guide for teams coming from managed platforms notes that a rollback can redeploy a retained application image but does not restore databases or persistent files. Your rollback plan for a release must therefore cover data separately. Take a database dump before each migration and confirm where volume data is kept.
Single server and proxy dependence
Coolify runs one coolify-proxy container on each server, and that proxy routes domains and handles HTTPS. A failure on one host or in the proxy can take down every application on it. Ask how you will rebuild the host, where the Coolify configuration is backed up, and whether multi-server deployments fit your uptime needs.
Railpack is still beta
Railway users often build with Railpack, and Coolify lists Railpack as a beta build pack alongside Nixpacks, Dockerfile and Docker Compose. Build output can change between releases, so pin your build method and compare the resulting image against the one Railway produces. For production services, a Dockerfile is the more predictable choice to confirm with your team.
Coolify v5 transition
The Coolify v4.0.0 release notes preview a v5 aimed at scalability in the core, while v4 stays supported. Choose the version you deploy and record it. Before any upgrade, read the release notes, confirm your servers still meet the installation requirements, and test on a non-production instance.
Security updates you apply
On Railway the platform patches its infrastructure. On Coolify, your team owns operating system patches, Docker updates, Coolify upgrades and the TLS and firewall settings on each server. Assign a named owner, set a patch cadence, and confirm who is alerted when a dependency or a container image has a published vulnerability.
How DeployOpen helps teams evaluate and move off Railway
DeployOpen plans, implements, hardens, backs up and documents a self-hosted Coolify platform inside your own infrastructure, whether that is your cloud accounts, data center or air-gapped network. For a team leaving Railway, the first deliverable is usually a written inventory of what runs today: each service, its build method (Railpack or Dockerfile), start and pre-deploy commands, healthchecks, cron jobs, persistent volumes and databases. From that inventory we agree on which servers run Coolify, how the coolify-proxy container handles domains and TLS, which database backups run to S3-compatible storage, and what restore testing proves that those backups work. Coolify does not restore persistent files on its own, so the backup and restore design is a decision your team needs to sign off on before cutover.
DeployOpen also runs security testing against the applications and APIs you move, and against the server and cloud layers Coolify relies on, including SSH access, Docker host exposure, network rules and the secrets used by builds. Where your organization must show controls to an assessor, we prepare the systems, configuration baselines and evidence that the assessment will examine. DeployOpen does not issue audit reports, attestations or certifications; independent auditors and certification bodies do that work. Engagements are fixed-scope, with scope, deliverables and timelines agreed in writing before work begins, and no prices are published, so a quote follows from that written scope. Ongoing patching, Coolify upgrades, backup verification and continuous testing are available as a retainer after the move. Ask for a written scope that names the Coolify version you will run, because the project has moved from v4.0.0 to later releases and upgrade planning should be part of the agreement.
