> ## Documentation Index > Fetch the complete documentation index at: https://docs.springwinter.dev/llms.txt > Use this file to discover all available pages before exploring further. # Railway vs Springwinter: Developer Cloud or Customer-Owned AWS > Compare Railway and Springwinter across developer experience, databases, environments, observability, AWS ownership, and billing. Railway and Springwinter both shorten the path from code to a running system. Railway runs workloads on Railway-operated infrastructure. Springwinter deploys supported resources into the customer's AWS account. *Updated October 9, 2026.* **Railway optimizes developer onboarding; Springwinter optimizes AWS account ownership and visibility.** ## What Railway does well Railway provides a streamlined workflow from GitHub repositories, Dockerfiles, container images, templates, or CLI deployments. Railpack detects supported languages and configures builds and start behavior while allowing overrides. Projects group services and environments on a visual canvas. Railway supports isolated persistent environments and pull-request environments with unique URLs. Focused PR environments can limit monorepo deployment to affected services. Railway offers PostgreSQL and Redis templates, persistent volumes, and private S3-compatible Buckets. Its dashboard integrates build and deployment logs, log search, CPU and memory metrics, network and disk metrics, rollback actions, and usage reporting. **Railway's strength is a cohesive project, environment, build, and runtime experience with minimal setup.** ## What Springwinter does well Springwinter deploys through a customer-created IAM role. Resources remain in the customer's AWS account, and AWS bills the customer directly. Supported resources include GitHub-built ECS web servers and long-running workers, private S3 plus CloudFront static sites, RDS databases, Valkey caches, and private S3 storage. Springwinter also offers previews, logs, metrics, deployment history, and cost views. This fits organizations standardized on AWS that want PaaS workflows while retaining AWS as the system-of-record boundary for infrastructure. **Springwinter preserves AWS-native resources, governance, and cost allocation under a managed application workflow.** ## The important insight: operated cloud versus customer cloud Railway documents Railway Metal as infrastructure it owns and operates in datacenters. Customers select Railway regions, organize resources in Railway projects, and pay Railway for usage. Springwinter assumes a role into the customer's AWS account and provisions supported AWS architecture there. Railway deliberately abstracts operated infrastructure. Springwinter deliberately preserves customer-visible AWS resources. The distinction is not who understands infrastructure better. It is which party should own and administer the underlying cloud boundary. ## Comparison | Area | Railway | Springwinter | | - | - | - | | Model | Developer cloud platform | AWS-native PaaS control plane | | Resource location | Railway-operated infrastructure | Customer AWS account | | Billing | Railway subscription and usage | AWS charges plus Springwinter pricing | | App workloads | Containerized services | ECS web servers and workers | | Build | Railpack, Docker, images, templates, CLI | GitHub-built workloads | | Data | PostgreSQL and Redis templates | RDS and Valkey | | Static delivery | Static service and optional CDN | Private S3 and CloudFront | | Object storage | Railway Buckets | Private customer S3 | | Environments | Persistent and automatic PR environments | Preview deployments | | Operations | Logs, metrics, actions, usage views | Logs, metrics, history, cost views | ## Choose Railway when * You want repository-to-service deployment with minimal configuration. * Railpack, templates, and the visual project canvas fit the team. * Automatic PR environments and monorepo-focused previews are priorities. * Railway-operated regions and metered platform pricing meet requirements. ## Choose Springwinter when * AWS is a firm infrastructure requirement. * Resources must remain in a customer-controlled AWS account. * ECS, RDS, Valkey, S3, and CloudFront match the intended architecture. * Direct AWS billing and IAM-governed access matter. ## Limits to understand Railway's database templates have a documented shared-responsibility boundary, especially after changing images or commands. Springwinter leaves AWS quotas, regional availability, IAM policy, and service economics visible. Do not compare headline plan prices alone. Test support, backups, scaling, migration, compliance, and a representative monthly workload. ## Frequently asked questions Railway provides PostgreSQL and Redis templates and manages the platform side for maintained templates. Its documentation defines a responsibility boundary: changing shipped images, commands, or variables can make parts of the database customer-managed. Railway PR environments copy a selected base environment's services, networking, and variables, then remove them when the pull request closes. Springwinter preview deploys use its supported AWS resource workflows inside the customer's account. Railway operates its Railway Metal infrastructure and charges usage through Railway. With Springwinter, the customer owns provisioned AWS resources because they are created in the customer's account, and the customer receives the AWS bill. ## Sources and further reading * [Railway pricing](https://railway.com/pricing) * [Railway deployment reference](https://docs.railway.com/deployments/reference) * [Railway environments](https://docs.railway.com/environments) * [Railway PostgreSQL](https://docs.railway.com/databases/postgresql) * [Railway Metal](https://docs.railway.com/platform/railway-metal) * [Railway GitHub organization](https://github.com/railwayapp) This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.