AWS vs Railway

AWS RDS and Railway handle database hosting with distinct philosophies. AWS RDS targets predictable, long-running enterprise workloads on robust infrastructure, with entry-level instances starting at $11.68/mo for 1 GB of RAM and 2 vCPU cores, scaling up to $116.07/mo for 8 GB of RAM. Railway takes a more aggressive, developer-focused stance, offering entry points as low as $5.00/mo for 0.5 GB of RAM and 1 vCPU core, topping out at $20.00/mo for 8 GB of RAM and 8 vCPU cores. While AWS relies on time-tested RDS patterns similar to those found on Azure or GCP, Railway prioritizes vCPU density at the high end of their tiering.

• Storage overages on AWS RDS are priced at $0.12/GB, which is significantly cheaper than Railway’s $0.25/GB penalty.
• Railway includes between 1 GB and 10 GB of disk storage in its base price, whereas AWS RDS separates storage volume sizing and IOPS provisioning from the instance cost.
• Egress costs are relatively tight on both platforms, with AWS charging $0.09/GB and Railway charging $0.10/GB for data leaving the network.
• AWS RDS provides a consistent 2 vCPU allocation for its smaller tiers, providing more stability for write-heavy background tasks compared to the single-core baseline on Railway’s entry-level instances.

The choice between these two depends on your tolerance for storage costs and the specific requirements of your database engine. AWS RDS remains the standard for teams needing granular control over IOPS and multi-region replication, despite the higher base entry cost. Railway functions well for smaller, bursty applications where you want to minimize monthly overhead and avoid the configuration complexity inherent in the AWS ecosystem. If your application requires massive persistent storage, the lower overage rates on AWS RDS will eventually offset the higher base monthly fees.