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Fly.io vs Railway: Complete Comparison Guide

Compare Fly.io and Railway on edge deployment, ease of use, global distribution, and cost. Discover which platform best fits your deployment strategy.

Fly.io

Fly.io is a platform that runs applications as Firecracker microVMs at locations around the world. Unlike traditional PaaS platforms, Fly.io runs your containers close to your users at 30+ locations globally. This makes it ideal for latency-sensitive applications requiring global distribution. Fly.io supports any Docker container and offers persistent volumes, private networking, and auto-scaling.

Railway

Railway is a modern Platform-as-a-Service that puts developer experience at its core. With instant deploys, usage-based pricing, and excellent service integration, Railway makes it simple to deploy applications with databases and background services. Railway runs from a limited number of regions but compensates with superior ease of use and seamless monorepo support.

Comparison table

FeatureFly.ioRailway
Deployment modelFirecracker microVMs at 30+ global locations (edge)Containers in limited regions — focus on simplicity over distribution
Global distributionApplications run worldwide close to end usersFew regions available — no native multi-region support
Ease of useFly CLI-driven — powerful but steeper learning curveIntuitive UI and CLI — very low barrier to entry
DatabasesFly Postgres (community-managed), SQLite with LiteFSIntegrated PostgreSQL, MySQL, and Redis as managed services
Persistent storageFly Volumes with persistent SSD storage per regionPersistence via integrated database services
Pricing modelPay-per-VM with free allowance — more complex cost structureUsage-based with simple, transparent billing

Verdict

Fly.io and Railway approach hosting from opposite directions. Fly.io optimizes for global distribution and low latency by running your application at multiple locations worldwide — perfect for international applications with strict latency requirements. Railway optimizes for developer experience with the fastest and simplest deploy flow on the market. For most applications, regional hosting is sufficient and Railway offers a superior experience; for global distribution, Fly.io is unmatched.

Our recommendation

At MG Software, we choose Vercel for frontend deployment (which automatically distributes globally via its Edge Network) and Supabase for backend services. For clients who need to globally distribute full-stack applications, we recommend Fly.io for its unique multi-region capabilities. For standard web applications and APIs, we recommend Railway for its superior ease of use. The combination of Vercel + Supabase covers most use cases we encounter, however.

Further reading

Heroku vs Railway comparisonRailway vs Render comparisonWhat is edge computing?

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Frequently asked questions

Choose Fly.io when your application needs to deliver low latency globally — for example, real-time gaming, global APIs, or edge databases with LiteFS. Fly.io's Firecracker VMs run at 30+ locations, which is impossible with Railway. Choose Railway for standard web applications where ease of use matters more than global distribution.
Yes, Fly.io has a steeper learning curve. The platform is CLI-driven and requires more knowledge of containers, networking, and deployment configuration via fly.toml. Railway offers an intuitive web interface where you connect a Git repository and go live within minutes. For experienced DevOps engineers, however, Fly.io is very powerful.
Yes, Fly.io offers Fly Postgres (a community-managed PostgreSQL setup) and support for SQLite with LiteFS for distributed edge databases. Note that Fly Postgres is not a fully managed database like Railway's — you are responsible for backups and maintenance. For managed databases, we recommend Supabase or Neon as a complement to Fly.io.

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