Small API
2 vCPU, 4GB RAM, 24/7
Railway 72% lower
As AI technology advances, choosing the right platform is crucial for your team's speed, governance, and long-term success. Both Railway and AWS have their strengths. The sections below compare them across developer experience, scalability, and total cost of ownership.
As AI technologies evolve, delivering and scaling applications has become essential for powering modern businesses, from AI startups to large-scale enterprises. There are various solutions available, including comprehensive cloud operating systems, managed Platform-as-a-Service (PaaS), and traditional IaaS. Selecting the right platform is crucial for your team's velocity, governance, and long-term success.
Railway and AWS both bring unique strengths to application delivery, each with its own capabilities and limitations. The best choice depends on your specific use case and requirements. In the following sections, we'll compare both platforms regarding developer experience, scalability, and total cost of ownership, helping you determine the most suitable option for your needs—even if it's not us.
| Infrastructure | Proprietary PaaS | AWS-managed PaaS |
| Source Available | ||
| Deployment Options | Cloud only BYO Cloud: Enterprise | AWS cloud only |
| Free Trial | 30 days, $5 credit | AWS free tier (limited) |
| Max vCPU per Service | Hobby: 8, Pro: 32 | Plan-based (EC2 instance types) |
| Max RAM per Service | Hobby: 8GB, Pro: 32GB | Plan-based (EC2 instance types) |
| Custom Domains | Hobby: 2, Pro: 20 | (Route 53 / ALB) |
| Replicas per Service | Hobby: 5, Pro: 50 | Plan-based (Auto Scaling) |
| Cron Jobs | Hobby: 50, Pro: 100 | CloudWatch/EventBridge |
| Log Retention | Free: 3d, Hobby: 7d, Pro: 30d | Configurable (CloudWatch) |
| Scale-to-Zero | (saves on idle) | |
| App Marketplace |
Cost evidence
Estimates use the listed average CPU and RAM for a 30-day month. Storage and egress are excluded unless a platform note says otherwise.
Small API
2 vCPU, 4GB RAM, 24/7
Medium App
8 vCPU, 16GB RAM, 24/7
Production Stack
16 vCPU, 32GB RAM, 24/7
2 vCPU, 4GB RAM, 24/7
Railway 72% lower
8 vCPU, 16GB RAM, 24/7
Railway 60% lower
16 vCPU, 32GB RAM, 24/7
Railway 15% lower
Estimate uses $20/vCPU-month and $10/GB-month at the listed average usage. Volume and egress are excluded from these three examples. Verified 2026-07-28.
AWS calculation: EC2 + ELB + CloudWatch over 720 hours/month
Sources:Railway pricing documentation·AWS Elastic Beanstalk Pricing
Railway is a managed Platform-as-a-Service (PaaS) that simplifies application deployment through Git integration and usage-based billing. It automates builds and deploys for web services, background workers, Cron Jobs, and databases. Railway provides a fast path from code to production with automatic scaling (including scale-to-zero), abstracting away infrastructure complexity for individual developers and small teams.
AWS Elastic Beanstalk is a mature AWS-native PaaS that automates deployment and scaling on top of EC2, ELB, Auto Scaling, and CloudWatch. It supports multiple runtimes, integrates deeply with AWS services, and lets teams deploy via the EB CLI or console. Beanstalk simplifies infrastructure management while keeping you inside the AWS ecosystem and cost model.
Have intermittent workloads that benefit from scale-to-zero billing
Prefer usage-based billing for unpredictable or low traffic patterns
Need the fastest path from Git to URL for quick prototypes
Don't need Kubernetes-level infrastructure control
Run mostly stateless, low-traffic hobby projects near Railway's $5 Hobby minimum
Want Preview Environments for pull request testing
Need deep integration with AWS services (RDS, S3, Lambda, etc.)
Require enterprise compliance (SOC, HIPAA, PCI)
Want deployment in multiple AWS regions worldwide
Need advanced Auto Scaling with custom metrics
Already invested in AWS infrastructure and expertise
Require VPC isolation and networking control
Everything you need to know about Railway and AWS.