A Railway alternative with fixed monthly resource packages.

Run applications, databases, workers, and storage in one workspace. Start from GitHub and keep a Kubernetes control path available as your system grows.

Compare costs

Sealos fits always-on applications and multi-service stacks where predictable monthly resources matter. Railway fits lightweight or variable workloads, mature Git-to-URL workflows, and teams that prefer usage billing.

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Three reasons to choose Sealos

Predictable monthly resources.

Sealos packages a defined amount of CPU, memory, disk, and traffic into a monthly plan. This supports budgeting for continuously running workloads.

See Sealos pricing packages

A full stack in one workspace.

Applications, workers, databases, persistent storage, and object storage can share one operational workspace.

Explore managed databases

A Kubernetes control path.

Teams can begin with the managed product experience and retain access to Kubernetes-native controls for deeper scheduling, networking, and policy needs.

View the open-source project

Transparent Standard cost example

This normalized workload uses 50% average compute utilization. Sealos Traffic and Railway outbound egress remain different billing concepts; the displayed values carry the same numeric workload input without a unit conversion.

Compare your cost

Sealos Standard

$128monthly plan price

8 vCPU included
16 GiB memory included
50 GiB persistent volume
300 GB traffic

Railway Pro estimate

Railway Pro is required because Railway Hobby's volume limit is 5 GB.

Validated

CPU

4 average vCPU · $20 / vCPU-month

$80

Memory

8 average GB · $10 / GB-month

$80

Volume

50 GB · $0.15 / GB-month

$7.50

Egress

300 GB · $0.05 / GB

$15

Usage subtotal · $182.50

Pro minimum · $20

$182.50estimated monthly cost

Rates and plan metadata verified 2026-08-21. The 50 GB volume requires Railway Pro; the usage subtotal exceeds the Pro minimum for this profile.

Railway plan and rate sources Railway cost controls

Choose the operating model that fits your workload.

Read the full comparison

Dimension	Sealos	Railway
Billing model	Fixed monthly resource packages	Usage rates with plan minimums and included usage defined by plan
Deployment workflow	GitHub repository, Docker image, and guided product deployment	Mature Git-to-URL workflow with repository, image, and template entry points
Workload organization	Apps, workers, databases, and storage in one workspace	Services, databases, and volumes grouped in a project
Infrastructure path	Managed workflow with Kubernetes-native controls available	Managed PaaS abstraction focused on operational simplicity
Strongest fit	Always-on applications, multi-service systems, and predictable resource budgets	Lightweight or variable workloads, rapid Git deployments, and usage-based budgets

Move one verified workload at a time.

Use a manual migration path with a workload-specific data gate and cutover check.

Deploy the application from its GitHub repository or existing Docker image.
Copy environment variables and secrets into the target workspace.
Provision the required database and persistent or object storage.
Export and import application data with a workload-specific maintenance window.
Verify internal connections, health checks, logs, and public behavior.
Point the domain to Sealos after the verification gate passes.

Maintained guides

Create an app Configure environments Migrate a database Add a domain

Evaluate the move with practical answers.

When can Sealos cost less than Railway?

The documented Standard example estimates $128 on Sealos and $182.50 on Railway at 50% average compute utilization, 50 GB of volume, and 300 GB of egress. Visitors can enter their own usage in the linked calculator.

Can I deploy a GitHub repository on Sealos?

Yes. The page CTA opens the current guided product flow with a GitHub deployment task, including the existing authentication and attribution handoff.

Can I move a Railway database and persistent data?

Yes. Provision the destination, export and import with the database-specific guide, verify application connections, and schedule domain cutover after the data gate passes.

Which platform fits lightweight or variable workloads?

Railway is a strong fit for intermittent services, rapid Git-to-URL deployment, and teams that prefer measured usage billing. Sealos is a strong fit for always-on stacks and defined monthly resource packages.

Run your always-on stack on Sealos.

Start with a GitHub repository and keep the deployment path open as your workload grows.