DollarDeploy and Railway both provide a modern Git-to-production deployment experience, but they use fundamentally different infrastructure and pricing models.
Railway: runs applications and databases on Railway's managed infrastructure and charges according to resource consumption.
DollarDeploy: deploys applications to servers you control. You pay DollarDeploy for the control plane and your infrastructure provider for the server.
The biggest difference: metered resources vs provisioned server capacity.
Railway currently prices standard workloads at approximately:
- RAM: $10/GB/month
- CPU: $20/vCPU/month
- Network egress: $0.05/GB
- Volume storage: $0.15/GB/month
Railway's Hobby plan starts at $5/month, with that subscription amount counting toward resource usage. If resource consumption exceeds the included amount, the total bill increases with usage.
DollarDeploy instead lets you rent a conventional VPS with a fixed amount of CPU, RAM, storage and included network transfer. DollarDeploy charges separately for the deployment control plane.
Why this matters for always-on workloads: a server application, worker, Redis instance or PostgreSQL database can consume memory continuously even when request volume is low.
With a fixed VPS, that memory is part of the server capacity you already purchased.
With a usage-metered platform, continuously consumed RAM and CPU contribute to the bill.
This means the difference becomes more noticeable when an application consists of several persistent services—for example:
- web application
- API
- PostgreSQL
- Redis
- background worker
On DollarDeploy these services can share the CPU and RAM of one server. On Railway each service contributes to total resource consumption.
Unused capacity works differently too.
With Railway, low-resource applications can be inexpensive because you pay for what they consume rather than buying an entire machine.
With DollarDeploy, you pay for the VPS whether your application uses 10% or 90% of it.
But the opposite happens as utilization rises: additional applications and services can use unused capacity on the same VPS without creating a separate per-service RAM or CPU price.
Databases: Railway makes provisioning databases extremely convenient, but database CPU, memory, storage and network usage contribute to Railway resource costs.
DollarDeploy can install PostgreSQL, Redis, MongoDB or MariaDB on the server you already pay for. The database shares that server's available resources.
The trade-off is responsibility: with DollarDeploy, database capacity and server availability ultimately depend on infrastructure you control.
Network: Railway currently charges approximately $0.05/GB for egress on standard workloads.
With DollarDeploy, network economics come from the underlying VPS provider. Providers such as Hetzner can include substantial traffic allowances in the fixed server price.
This can make the difference significant for bandwidth-heavy workloads.
Infrastructure ownership: Railway abstracts the underlying machines. DollarDeploy exposes them deliberately: the server belongs to you or your organization and can remain in place independently of DollarDeploy.
Where DollarDeploy has the advantage: persistent applications, multiple services sharing one machine, databases and workers with continuous RAM usage, bandwidth-heavy applications, and teams that prefer fixed server economics.
Where Railway has the advantage: small or variable workloads where paying only for actual consumption is beneficial, and teams that value fully managed infrastructure and do not want to select, size or maintain a server.
The economic difference: Railway sells resources as consumption. DollarDeploy lets you buy a server and fill it.
For a single tiny application, Railway can be extremely economical. As an application grows into several always-on services, a fixed VPS can become increasingly attractive because those workloads share capacity you have already purchased.
The practical difference: Railway removes infrastructure ownership in exchange for metered resources. DollarDeploy keeps infrastructure ownership while automating much of the deployment experience.
Go deeper: https://docs.dollardeploy.com/how-dollar-deploy-different/