Deployment & Hosting🔴Developer

Railway

Name: Railway
Brand: Railway
Availability: InStock

Deploy full-stack applications with git-based workflows, managed PostgreSQL/MySQL/Redis services, Docker or Nixpacks builds, private networking, custom domains, logs, metrics, and usage-based pricing.

Starting atFree

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In Plain English

Deploy apps, databases, APIs, workers, and Docker services with managed infrastructure and usage-based billing.

Overview

Railway is a cloud application platform for deploying full-stack apps, APIs, workers, databases, and Docker services, with Free at $0/month, Hobby at $5 minimum usage, Pro at $20 minimum usage, Enterprise custom pricing, and metered CPU, memory, storage, object storage, and egress rates.

As of the visible 2026 pricing information, Railway lists four plan levels: Free at $0 per month, Hobby with a $5 minimum usage commitment, Pro with a $20 minimum usage commitment, and Enterprise with custom pricing. The Free plan includes a 30-day trial with $5 credits, then $1 per month, up to 1 vCPU and 0.5 GB RAM per service, 0.5 GB of volume storage, and community support. Hobby includes $5 of monthly usage credits, up to 48 vCPU and 48 GB RAM per service, up to 5 replicas, up to 5 GB storage, 7-day log history, global regions, and a 99.9% availability target. Pro includes $20 of monthly usage credits, up to 1,000 vCPU and 1 TB RAM per service, up to 42 replicas, up to 1 TB storage, unlimited workspace seats, Railway Support, 30-day log history, concurrent global regions, and a 99.99% availability target. Enterprise adds custom pricing, 90-day log history, SSO, 18-month audit log retention, RBAC, HIPAA BAAs, support SLOs, a 99.999% availability target, dedicated VMs, bring-your-own-cloud options, and higher compute limits.

Railway charges metered resources by usage: memory at $0.00000386 per GB-second, CPU at $0.00000772 per vCPU-second, volumes at $0.00000006 per GB-second, service egress at $0.05 per GB, and object storage at $0.015 per GB-month with free object storage egress. This makes Railway a practical fit for developers who want to deploy quickly from GitHub, Docker, Nixpacks, or the Railway CLI while keeping application services, databases, environment variables, private networking, logs, metrics, and billing in one workspace.

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Using with OpenClaw

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Integrate Railway with OpenClaw through Railway's public API, CLI-driven workflows, or custom skills for deployment and project automation tasks.

Use Case Example:

Use OpenClaw to help automate Railway project setup, environment variable management, deployment checks, or usage reporting where API access permits.

Learn about OpenClaw →

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Vibe Coding Friendly?

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Difficulty:beginner

Developer-oriented hosting platform with dashboard, CLI, GitHub deployment, Docker, and API workflows.

Learn about Vibe Coding →

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Editorial Review

Railway provides a streamlined deployment experience for teams that want application hosting, common managed databases, environment management, logs, metrics, private networking, and usage-based billing in one place. It is a strong fit for full-stack apps, APIs, workers, and Docker services, but teams should model usage costs and confirm compliance requirements before production adoption.

Key Features

Nixpacks Build System+

Build automation that can detect many common application frameworks and generate deployable builds without requiring every project to maintain a Dockerfile. Teams can still use Docker when explicit build control is preferred.

Managed Database Services+

Provision PostgreSQL, MySQL, and Redis services alongside application services. Built-in database and volume backups are listed in Railway's product feature matrix, but specialized databases may require another provider.

Private Networking+

Private networking lets services communicate inside a Railway project without exposing every internal dependency publicly. Teams should still review network behavior, region choices, and security controls for production architecture.

GitHub and CLI Deployments+

Railway supports GitHub repository deployment, Docker image deployment, custom Dockerfiles, local repository deployment with the Railway CLI, deployment logs, redeploy or restart actions, and one-click rollbacks.

Usage-Based Pricing+

Pricing combines plan commitments with metered resource usage. Visible 2026 pricing lists Free at $0/month, Hobby at $5 minimum usage/month, Pro at $20 minimum usage/month, and Enterprise custom pricing, plus metered CPU, memory, volume, egress, and object storage rates.

Observability and Operations+

Railway includes build and deploy logs, CPU/RAM/disk/network metrics, log filtering and querying, structured logging, webhooks, configurable alerts, hard and soft limits, and plan-specific log retention.

Pricing Plans

Free

$0/month

Hobby

$5 minimum usage/month

Pro

$20 minimum usage/month

Enterprise

Custom

Metered usage

Memory $0.00000386/GB-sec; CPU $0.00000772/vCPU-sec; volumes $0.00000006/GB-sec; service egress $0.05/GB; object storage $0.015/GB-month

See Full Pricing →Free vs Paid →Is it worth it? →

Ready to get started with Railway?

View Pricing Options →

Getting Started with Railway

1Sign up at railway.app with GitHub or email and use the free trial credit if eligible.
2Connect a GitHub repository, deploy from the Railway CLI, or deploy a Docker image depending on the project workflow.
3Add a managed database by creating a PostgreSQL, MySQL, or Redis service where those services fit the application.
4Configure environment variables and secrets through the Railway dashboard or install the Railway CLI with npm i -g @railway/cli.
5Set up a custom domain in project settings and review the plan's domain, service, resource, and spending limits before production use.

Ready to start? Try Railway →

Best Use Cases

🎯

Deploying full-stack web applications that need both an app runtime and a managed database.

⚡

Hosting backend APIs, microservices, and worker processes with git-connected deployment workflows.

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Launching MVPs or prototypes quickly without manually configuring cloud infrastructure.

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Running applications that need PostgreSQL, MySQL, or Redis without managing those databases separately.

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Deploying Dockerized applications where the team wants platform-managed hosting rather than raw servers.

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Replacing fragmented hosting setups with a single platform for code deployment, services, and data dependencies.

Integration Ecosystem

9 integrations

Railway works with these platforms and services:

☁️ Cloud Platforms

Railway

🗄️ Databases

PostgreSQLMySQLredis

⚡ Code Execution

Dockernixpacks

🔗 Other

GitHubrailway-cligraphql-api

View full Integration Matrix →

Limitations & What It Can't Do

We believe in transparent reviews. Here's what Railway doesn't handle well:

⚠Usage-based pricing requires monitoring because compute, memory, storage, and egress costs can grow with workload size and traffic.
⚠Managed database services listed here focus on PostgreSQL, MySQL, and Redis; MongoDB, Elasticsearch, InfluxDB, and graph databases may require external or self-managed options.
⚠Teams needing custom kernel modules, specialized networking appliances, or low-level infrastructure control may find the managed platform abstraction limiting.
⚠Build environment behavior depends on the chosen build path; unusual legacy applications may still need a custom Dockerfile instead of automatic Nixpacks detection.
⚠Some compliance, SSO, RBAC, audit retention, dedicated VM, HIPAA BAA, and bring-your-own-cloud capabilities are Enterprise-oriented and may require a sales or Trust Center review.

Pros & Cons

✓ Pros

✓Combines application hosting and managed PostgreSQL, MySQL, and Redis in one platform, reducing the number of separate cloud services needed for typical full-stack apps.
✓Git-based and CLI deployment workflows fit developer teams that want releases connected directly to code changes.
✓Supports both Docker and Nixpacks, so teams can choose between explicit container control and automatic build detection.
✓Usage-based pricing can be practical for hobby projects, prototypes, and early production apps that do not need fixed infrastructure commitments upfront.
✓Well suited to backend services, APIs, workers, and full-stack applications rather than only static frontend deployments.
✓Plan documentation publishes concrete limits for projects, services, CPU, RAM, storage, replicas, log retention, and availability targets.

✗ Cons

✗Usage-based pricing can be harder to predict than fixed monthly server plans, especially as traffic or resource consumption grows.
✗Some advanced controls such as SSO, RBAC, extended audit logs, HIPAA BAAs, dedicated VMs, and bring-your-own-cloud options are Enterprise-oriented or tied to larger commitments.
✗Railway's managed service list in the provided content is limited to PostgreSQL, MySQL, and Redis, so teams needing other managed databases or specialized infrastructure may need external services.
✗Teams with deeply customized cloud architectures may find an all-in-one application platform less flexible than assembling infrastructure directly on a major cloud provider.
✗Plan limits, availability targets, support levels, and regional capabilities vary by tier, so production teams should review the current plan matrix before committing.

Frequently Asked Questions

How does Railway's usage-based pricing work?+

Railway combines plan commitments with metered usage. Free is listed at $0 per month with trial credits for new users, Hobby has a $5 minimum usage commitment, Pro has a $20 minimum usage commitment, and Enterprise is custom. CPU is listed at $0.00000772 per vCPU-second, memory at $0.00000386 per GB-second, volumes at $0.00000006 per GB-second, service egress at $0.05 per GB, and object storage at $0.015 per GB-month.

Can Railway handle database migrations and zero-downtime deployments?+

Railway can host managed PostgreSQL, MySQL, and Redis services and supports deployment workflows such as rollbacks and health checks. Application-level schema migrations still need to be handled by the application's framework or migration tool, such as Prisma, Django migrations, Rails migrations, or a custom migration command.

What happens when Railway applications exceed resource limits?+

Resource behavior depends on the plan, service configuration, and spending controls. Teams should review plan limits for CPU, RAM, replicas, storage, projects, services, log retention, domains, and support before production use, then configure alerts or limits to reduce the chance of unexpected billing.

How does Railway compare to Vercel for full-stack applications?+

Railway is often a better fit when the same platform should run backend services, workers, Docker services, and managed PostgreSQL, MySQL, or Redis. Vercel may be a better fit for frontend-first workflows, edge-centric deployments, or teams already standardized on its frontend platform.

🔒 Security & Compliance

🛡️ SOC2 Compliant

✅

SOC2

Yes

✅

GDPR

Yes

✅

HIPAA

Yes

—

SSO

Unknown

❌

Self-Hosted

❌

On-Prem

✅

RBAC

Yes

—

Audit Log

Unknown

✅

API Key Auth

Yes

❌

Open Source

✅

Encryption at Rest

Yes

✅

Encryption in Transit

Yes

Data Retention: Plan-specific log retention is listed from 3 days after Free trial to 90 days on Enterprise; Enterprise lists 18-month audit log retention.

Data Residency: GLOBAL REGIONS ARE PLAN-DEPENDENT; SPECIFIC RESIDENCY GUARANTEES SHOULD BE VERIFIED WITH RAILWAY FOR REGULATED WORKLOADS.

📋 Privacy Policy →🛡️ Security Page →

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What's New in 2026

The provided website content does not include dated 2026 release notes or specific new features for 2026. Based only on the supplied content, Railway is presented as an all-in-one intelligent cloud provider with git-based deployments, managed PostgreSQL/MySQL/Redis, Docker or Nixpacks builds, private networking, custom domains, logs, metrics, and usage-based pricing.