{"title":"Netlify vs Railway","slug":"netlify-vs-railway","tools":[{"name":"Netlify","slug":"netlify","category":"hosting","type":"cloud","website":"https://www.netlify.com","pricing":"freemium","pricing_tiers":["Free (100GB bandwidth)","$19/user/mo Pro","Custom Enterprise"],"open_source":false,"self_hosted":false,"sdk_languages":["javascript","typescript","go"],"frameworks":[],"agent_features":{"serverless":true,"containers":false,"edge_compute":true,"ai_tooling":false,"mcp_hosting":false},"compliance":["soc2","gdpr"],"best_for":"Git-based deploys with serverless functions — strong for static sites and Jamstack apps with AI features","limitations":"Serverless functions have execution time limits; less AI-specific tooling than Vercel; Next.js support lags behind Vercel; bandwidth overage costs add up","verified_by":"editorial","last_verified":"2026-04-28","source_urls":{"docs":"https://docs.netlify.com","pricing":"https://www.netlify.com/pricing"}},{"name":"Railway","slug":"railway","category":"hosting","type":"cloud","website":"https://railway.app","pricing":"freemium","pricing_tiers":["Free trial ($5 credit)","$5/mo Hobby","$20/seat/mo Pro","Custom Enterprise"],"open_source":false,"self_hosted":false,"sdk_languages":["python","javascript","typescript","go","rust","java","ruby"],"frameworks":[],"agent_features":{"serverless":false,"containers":true,"edge_compute":false,"ai_tooling":false,"mcp_hosting":false},"compliance":["soc2"],"best_for":"One-click deploy for any language/framework — best for long-running agent processes that don't fit serverless constraints","limitations":"Smaller ecosystem than Vercel/Netlify; less mature CDN and edge story; costs can surprise with always-on containers; no built-in AI tooling","verified_by":"editorial","last_verified":"2026-04-28","source_urls":{"docs":"https://docs.railway.app","pricing":"https://railway.app/pricing"}}],"category":"hosting-deployment","last_verified":"2026-05-09","body":"Netlify and Railway represent different hosting models. Railway provides persistent Docker containers with no timeout, private networking, and managed databases. Netlify provides stateless serverless functions with a 15-minute ceiling and no persistent compute. Railway wins on three agentic dimensions. Netlify's advantages are limited to frontend deployment simplicity.\n\n## Where Railway wins\n\n* **Persistent Docker containers with no execution timeout.** Railway deploys any Docker image as a persistent, always-on container with no time limit. An agent orchestrator, MCP tool server, or background worker runs indefinitely, maintaining WebSocket connections, in-memory state, and long-running processes. Resource limits scale to 48 vCPU and 48 GB RAM on Hobby, 1,000 vCPU and 1 TB RAM on Pro. Netlify's longest execution path is background functions at 15 minutes with 1 GB memory and a 256 KB payload limit. Synchronous functions terminate at 60 seconds. There's no Docker support, no persistent process, and no always-on compute. An MCP tool server that must stay alive cannot run on Netlify.\n\n* **Private WireGuard networking with managed databases.** Railway provides WireGuard-encrypted private networking between all services in a project with automatic internal DNS (`service.railway.internal:PORT`). Managed Postgres, MySQL, Redis, and MongoDB deploy as first-class services on the same private network with automatic connection string injection. An agent's orchestrator and its databases communicate with no public exposure and no configuration. Netlify has no inter-function networking, no managed databases, and no service-to-service communication. Every state access from a Netlify function requires a network request to an external database provider over the public internet.\n\n* **Persistent volumes, cron jobs, and full deployment flexibility.** Railway persistent volumes survive deployments and restarts with automated backups and live resizing. Cron jobs schedule recurring agent tasks. Any runtime, any Docker image, any port configuration. Netlify's scheduled functions run on a cron schedule but within the 60-second execution limit. There are no persistent volumes—Blob storage is available for file uploads but isn't a mounted filesystem. Netlify's function runtime is limited to JavaScript, TypeScript, and Go.\n\n## Where Netlify wins\n\n* **Simpler deployment for frontend-plus-function architectures.** Netlify's Git-push deploys, automatic preview URLs, rollback, and integrated build pipeline provide a streamlined path for deploying a frontend with thin serverless functions. For an agent that's a React or Next.js frontend calling a single function that proxies LLM API calls, Netlify's model requires less operational knowledge than Railway's multi-service project configuration. This applies only when the agent has no persistent state and every operation completes within 60 seconds.\n\n* **Edge functions for low-latency request preprocessing.** Netlify Edge Functions (Deno runtime) execute at the edge closest to each user, suitable for agent request routing, authentication, or lightweight preprocessing before forwarding to an external agent service. Railway deploys to specific regions—there's no edge function equivalent. For agents that need edge-level request transformation or routing, Netlify's edge functions handle that layer, though the agent's core logic must run elsewhere if it needs persistent compute.\n\n## The agentic difference\n\nRailway provides the compute model agents need: persistent processes, private networking, managed databases, and persistent storage—all in one project with no timeout constraints. Netlify provides stateless functions designed for frontend API layers. The gap isn't incremental—it's the difference between a platform that can host an agent system and one that can't without external infrastructure replacing every missing piece.\n\nAn agent on Netlify needs an external database, an external always-on process for MCP servers, an external queue for operations exceeding 60 seconds, and external inter-service communication. An agent on Railway deploys all of these as services in a single project on a private network.\n\n## When to pick which\n\n* **Pick Railway** when the agent needs persistent processes, managed databases, private networking, persistent volumes, Docker deployment, or any compute that outlives a single HTTP request—which covers most agent architectures.\n\n* **Pick Netlify** when the agent is a stateless frontend-plus-function deployment, every operation completes within 60 seconds or 15 minutes async, there's no need for persistent state or databases, and the team is already on Netlify for frontend hosting."}