Small API
2 vCPU, 4GB RAM, 24/7
Railway 71% lower
As AI technology advances, choosing the right platform is crucial for your team's speed, governance, and long-term success. Both Railway and Fly.io 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 Fly.io 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 | Edge micro-VMs (Firecracker) |
| Source Available | ||
| Deployment Options | Cloud only BYO Cloud: Enterprise | Cloud only |
| Free Trial | 30 days, $5 credit | Free allowance (shared CPU, limited) |
| Max vCPU per Service | Hobby: 8, Pro: 32 | Plan-based (per VM size) |
| Max RAM per Service | Hobby: 8GB, Pro: 32GB | Plan-based (per VM size) |
| Custom Domains | Hobby: 2, Pro: 20 | |
| Replicas per Service | Hobby: 5, Pro: 50 | (within org limits) |
| Cron Jobs | Hobby: 50, Pro: 100 | Scheduled machines |
| Log Retention | Free: 3d, Hobby: 7d, Pro: 30d | Limited (plan-based) |
| Scale-to-Zero | (saves on idle) | (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 71% lower
8 vCPU, 16GB RAM, 24/7
Railway 57% 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.
Fly.io calculation: estimated using always-on VM pricing (CPU + RAM) across 720 hours/month
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.
Fly.io is an edge application platform that runs apps as lightweight Firecracker micro-VMs across a global network. It emphasizes Dockerfile-first deployments and a powerful CLI (`flyctl`) for fast, scriptable workflows. Fly.io provides Anycast networking, global routing, per-region scaling, and scale-to-zero for idle workloads, making it a strong fit for latency-sensitive apps and globally distributed teams.
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 global low-latency delivery with edge deployments
Prefer a CLI-first workflow with Dockerfile control
Want Anycast routing and multi-region replicas
Have spiky traffic that benefits from scale-to-zero
Run apps close to users for latency-sensitive experiences
Are comfortable with usage-based billing
Everything you need to know about Railway and Fly.io.