Fly.io vs Neon

Side-by-side comparison to help you pick the right tool.

Fly.ioNeon
TaglineRun Docker containers close to your users, globally.Serverless Postgres with branching and instant scale-to-zero.
CategoryHosting InfrastructureHosting Infrastructure
PricingFreemiumFreemium
Skill LevelDeveloperDeveloper
PlatformsApi HeadlessWeb, Browser, Api Headless
Use CasesSolo Indie, Side Project, Small TeamSolo Indie, Side Project, Small Team
TraitsHas Free Tier, Good Api, Active DevelopmentHas Free Tier, Fast To Set Up, Good Api, Active Development
Best ForBest for developers who want globally distributed deployments without the complexity of managing cloud infrastructure.Best for developers who want managed Postgres with a git-like branching workflow and zero idle costs.

Fly.io

Fly.io is a cloud platform that deploys Docker containers to edge servers in 35+ regions globally, providing low-latency applications close to users without requiring Kubernetes knowledge. It scales to zero when idle, cutting costs for low-traffic applications, and starts quickly when traffic arrives. Managed Postgres and Redis databases are available as Fly apps on the same private network as your application. The CLI-driven workflow means deployment is as simple as running fly deploy from your project directory. Fly.io is favoured by developers who want globally distributed backend services and APIs without the complexity of managing multi-region cloud infrastructure on AWS or GCP.

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Neon

Neon is a serverless PostgreSQL provider that separates storage from compute, allowing databases to scale to zero when idle and wake in milliseconds when needed. Its git-like database branching lets you create isolated copies of your database for each pull request or preview environment, then delete them when the branch merges — enabling safe schema migrations and isolated testing environments without provisioning separate databases. The free tier includes one project with 0.5 GB storage and a generous compute allowance. Neon integrates with Vercel, Railway, and other platforms via environment variables. It is popular with Next.js developers and teams using preview deployment workflows who want Postgres without idle compute costs.

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