Raff wins on fixed service ceilings, $0 public egress, full Docker Compose import, and first-party managed data services. Railway wins on four deployment regions, usage-based compute, PR environments, native volume backups, and broader per-service scaling. Choose Railway when global placement and pay-for-actual-use economics matter; choose Raff when us-east, predictable monthly ceilings and Compose portability fit the workload. Raff Apps starts at $3/month, while Railway Hobby is $5/month with $5 of included resource usage before metered CPU, memory, storage, and egress.
Railway and Raff are now a direct app-platform comparison rather than a PaaS-versus-VM mismatch. Railway charges $20 per vCPU-month, $10 per GB-month of RAM, $0.15 per GB-month of volume storage, and $0.05 per GB of egress, with subscription fees credited toward usage. Raff Apps publishes fixed service ceilings from $3 to $119.99 per month and charges $0 for public app egress and team seats. The practical decision is whether variable usage pricing and four deployment regions are more valuable than fixed resource tiers, direct Compose imports, and a single us-east operating model.
Railway vs Raff: which is right for you?
Choose Railway when you want a usage-metered PaaS with four deployment regions, automatic GitHub deployment workflows, PR environments, native scheduled volume backups, replicas, and service sleeping. Choose Raff when you want fixed monthly service ceilings, $0 public egress, full Docker Compose import, persistent app volumes, and first-party managed databases alongside the application platform.
| Decision factor | Choose Raff Apps | Choose Railway |
|---|
| Entry app price | You want a fixed $3/month Micro ceiling | You want a $0 Free plan or $5 Hobby subscription credited toward usage |
| Billing model | Fixed service tiers with per-second billing to a monthly ceiling | Metered CPU, RAM, volume, and egress usage |
| Geography | One public us-east region fits the workload | You need California, Virginia, Amsterdam, or Singapore |
| Egress | You want $0 public app egress | $0.05/GB is acceptable or traffic is modest |
| Deployment artifact | Full Docker Compose import matters | GitHub, local source, or Docker image service mapping fits |
| Preview workflow | Raff pull-request previews fit the team | Railway PR Environments and focused previews are preferred |
| Durable state | Raff persistent volumes plus managed data services fit | Native Railway volume backups and database templates are preferred |
For Raff's app-platform decisions, the useful comparison is the steady operating bill rather than the smallest plan card. We separate runtime, outbound traffic, and durable state because those three costs behave differently as a SaaS workload grows. A platform can look inexpensive at idle and become expensive at sustained CPU, memory, or egress; the reverse is also true when a fixed tier sits mostly unused.
Railway overview
Railway is a deployment platform from Railway Corporation. It runs long-lived services, cron jobs, and single-file TypeScript functions, with deployments from GitHub repositories, local source, or Docker images. Railway also provides environments, variables, private networking, replicas, persistent volumes, database templates, logs, metrics, deployment rollback, and a template marketplace.
Railway's current subscription structure is Free at $0/month, Hobby at $5/month, Pro at $20/month, and Enterprise at custom pricing. The Free plan includes $1 of monthly resource credit, Hobby includes $5, and Pro includes $20. On paid plans, the subscription amount is credited against resource usage rather than added on top of the same amount of usage.
Current metered rates are $20/vCPU-month, $10/GB-month of RAM, $0.15/GB-month for volumes, and $0.05/GB of network egress. Compute is billed by the minute. Railway's pricing documentation is explicit that the final bill depends on actual resource consumption.
Railway currently exposes four standard deployment regions: California, Virginia, Amsterdam, and Singapore. Services can use horizontal replicas, and Railway's Serverless mode can put an inactive service to sleep after more than 10 minutes without outbound traffic, then wake it on the next incoming request.
Railway is particularly strong for teams that want service-level automation rather than fixed instance sizing. GitHub autodeploys, PR Environments, focused PR previews, deployment rollback, native volume backup schedules, and cross-region deployment controls are integrated into the platform workflow.
Raff overview
Raff Apps is Raff's managed application platform for deploying source code and containers without administering the operating system underneath them. It supports GitHub push-to-deploy, buildpacks, Dockerfiles, existing container images, and full Docker Compose imports.
Raff Apps supports public web services, private services, long-running workers, timezone-aware cron jobs, one-off jobs, pull-request previews, persistent application volumes, immutable revisions, one-click rollback, and scale-to-zero behavior. Applications can connect to Raff Managed Databases for PostgreSQL, MySQL, Valkey, ClickHouse, and Kafka as well as object storage, VMs, Kubernetes, Functions, and private networking.
| Raff Apps tier | vCPU | RAM | Ephemeral disk | Monthly ceiling |
|---|
| Micro | 0.25 | 512 MB | 2 GB | $3.00 |
| Starter | 0.5 | 1 GB | 5 GB | $6.99 |
| Standard | 1 | 2 GB | 10 GB | $16.99 |
| Pro | 2 | 4 GB | 20 GB | $27.99 |
| Pro Max | 4 | 8 GB | 40 GB | $61.99 |
| Scale | 8 | 16 GB | 80 GB | $119.99 |
Runtime is billed per second against the published monthly ceiling. Public application egress and Apps team seats cost $0, and the spend cap is enabled by default.
Raff currently exposes one public Apps region, us-east, which is a real limitation for teams that need geographic placement elsewhere. Raff publishes a 99.9% platform SLA. On August 17, 2026, Raff's Trustpilot profile was 4.5/5, with G2 at 4.6/5.
Railway pricing vs Raff pricing
Railway and Raff price application compute differently. Railway meters CPU and memory actually consumed, while Raff publishes resource tiers with a monthly ceiling. The right comparison therefore needs both the plan entry points and a few clearly labeled full-utilization examples.
| Buying position | Raff Apps | Railway | Decision signal |
|---|
| Entry platform | Micro — 0.25 vCPU / 512 MB — $3 ceiling | Free — $0 with $1 monthly resource credit | Railway wins for experimentation at $0 |
| Personal paid baseline | Starter — 0.5 vCPU / 1 GB — $6.99 ceiling | Hobby — $5 with $5 usage included | Different models; Railway meters actual use |
| Production/team baseline | Standard — 1 vCPU / 2 GB — $16.99 ceiling | Pro — $20 with $20 usage included | Raff has lower fixed tier; Railway includes platform usage credit |
| Full-month 1 vCPU + 2 GB use | $16.99 Standard ceiling | $40 if 1 vCPU and 2 GB were continuously consumed | Railway can be lower when actual CPU use is far below the full-month assumption |
| Full-month 2 vCPU + 4 GB use | $27.99 Pro ceiling | $80 if 2 vCPU and 4 GB were continuously consumed | Raff has the lower ceiling under sustained full utilization |
Comparison class: Railway does not sell fixed 1 vCPU / 2 GB or 2 vCPU / 4 GB instances at those monthly totals. The $40 and $80 Railway rows are arithmetic examples using its published $20/vCPU-month and $10/GB-month rates under continuous full-month consumption. Real Railway CPU usage may be substantially lower, especially for idle or bursty services.
Railway's subscription is credited against usage. A Pro workspace with $40 of resource usage pays $40 total for the usage/subscription portion, not $60. Pro seats are currently $0, so neither Railway nor Raff adds a per-seat charge for the standard team workflow.
Bandwidth cost math
Railway charges $0.05/GB for network egress. Raff Apps public application egress is $0.
| Monthly public egress | Raff Apps | Railway egress charge |
|---|
| 100 GB | $0 | $5.00 |
| 500 GB | $0 | $25.00 |
| 1 TiB (1,024 GB) | $0 | $51.20 |
| 2 TiB (2,048 GB) | $0 | $102.40 |
| 5 TiB (5,120 GB) | $0 | $256.00 |
These figures isolate public egress only. Railway recommends private networking for service-to-service communication inside a project to avoid unnecessary public-network charges.
Automated backups
Railway has a meaningful native advantage for volume-backed services. Railway volumes support manual backups and automated daily, weekly, and monthly schedules. Daily backups are retained for 6 days, weekly backups for 1 month, and monthly backups for 3 months. Backup storage is incremental and billed at the same $0.15/GB-month rate as volumes for data unique to the backup.
Raff Apps application revisions and one-click rollback are release controls, not a substitute for data backup. Raff's current canonical Apps specification does not claim an equivalent native volume-backup schedule, so this comparison does not invent one. Stateful Raff Apps workloads should place recoverable data in an appropriate managed database, object storage, or another verified backup path and test restoration separately from application rollback.
Variable-cost boundaries
Railway lets workspace admins set compute usage alerts and hard limits. Hitting a hard limit takes workloads offline to stop additional compute charges. Raff Apps instead publishes a monthly ceiling for each service tier and enables a spend cap by default. Railway provides finer pay-for-use economics; Raff gives a more visible upper bound for the selected app tier.
Bandwidth and transfer policy
Railway meters public network egress at $0.05/GB. Private networking connects services inside a project environment over Railway's internal network, which can avoid public egress for internal service communication. The cost model therefore rewards architectures that keep app-to-database and service-to-service traffic private.
Raff Apps charges $0 for public application egress. That removes outbound transfer as a variable line item for APIs, media delivery, downloads, package distribution, and workloads with seasonal or unpredictable traffic.
The trade-off is geography. Railway currently has four standard deployment regions across the United States, Europe, and Southeast Asia; Raff Apps exposes one public region, us-east. Railway can reduce user-to-app distance for geographically distributed audiences, while Raff is easier to forecast when one eastern-U.S. placement is sufficient and transfer volume is material.
Feature comparison: Railway vs Raff
| Feature | Raff Apps | Railway |
|---|
| Entry price | $3/month ceiling | $0 Free; $5 Hobby |
| Billing model | Per second to fixed tier ceiling | Metered CPU, RAM, storage, egress |
| Public regions | 1 — us-east | 4 — California, Virginia, Amsterdam, Singapore |
| Public egress | $0 | $0.05/GB |
| Source deployment | GitHub, buildpacks, Dockerfile, existing image | GitHub, local source, Docker image |
| Docker Compose | Full stack import | Compose services must be translated into Railway services |
| Public web services | Yes | Yes |
| Private services/networking | Yes | Yes |
| Long-running workers | Yes | Yes |
| Cron jobs | Yes | Yes |
| Scale-to-zero / sleeping | Yes | Serverless sleep after >10 minutes without outbound traffic |
| PR preview environments | Yes | Yes, including focused PR environments |
| Persistent volumes | Yes | Yes, $0.15/GB-month |
| Native volume backup schedule | Not claimed in current Apps specification | Daily / weekly / monthly |
| Deployment rollback | Immutable revisions, one-click rollback | Previous deployment rollback within plan retention |
| Horizontal replicas | Platform-managed service model | Up to 6 Hobby / 42 Pro by current plan limits |
| Team seats | $0 | $0 on Pro/Enterprise |
| Managed data model | First-party PostgreSQL, MySQL, Valkey, ClickHouse, Kafka | Database services/templates including PostgreSQL, MySQL, Redis, MongoDB |
| Published standard SLA | 99.9% platform SLA | Pro explicitly excludes SLOs; Enterprise can negotiate an SLA |
Railway wins on region choice, native scheduled volume backups, explicit replica controls, its $0 Free plan, and usage-based economics for low-duty-cycle services. Raff wins on fixed tier ceilings, $0 public egress, direct Compose import, and a first-party managed-data portfolio that is separate from app containers.
Features and reliability: Raff vs Railway
This comparison includes 0 controlled Raff-versus-Railway application benchmarks, so it does not declare either platform faster. A valid test would need matched CPU scheduling, memory, region, application image, database placement, storage path, concurrency, caching, and repeated test windows.
Usage-based compute versus fixed ceilings
Railway's billing can be efficient for bursty workloads because CPU and memory are metered rather than sold as fixed instance sizes. Railway Serverless can also stop an inactive service after more than 10 minutes without outbound traffic, reducing compute usage while it sleeps. The first request wakes the service and can experience a cold-start delay.
Raff Apps also supports scale-to-zero, but its commercial model is easier to cap: each tier has a published monthly ceiling. The trade-off is that a fixed ceiling does not automatically mean it is cheaper for a lightly used service. Railway's metered model can win when the application spends most of the month idle.
Regions and replicas
Railway exposes four standard deployment regions and lets services run horizontal replicas. Current plan limits allow up to 6 replicas on Hobby and 42 on Pro. Railway also supports changing regions, although a service with an attached volume needs a volume migration and can experience downtime during that move.
Raff Apps exposes only us-east. Teams with users concentrated in eastern North America may not benefit from extra placement choices, but teams with latency or data-location requirements in Europe, Asia-Pacific, or the U.S. West should treat Railway's region map as a substantive advantage.
Release safety and previews
Both platforms provide pull-request preview workflows and deployment rollback. Railway PR Environments can clone an environment for a GitHub pull request and remove it when the PR closes; focused PR environments can deploy only services whose watched paths changed. Raff Apps provides pull-request previews, immutable revisions, and one-click rollback.
Railway's current rollback retention is 24 hours on Free/Trial, 72 hours on Hobby, 120 hours on Pro, and 360 hours on Enterprise. Raff's immutable revision model is not a database restore mechanism either, so both platforms still require a separate data-recovery plan.
Data recovery
Railway's scheduled volume backups are one of its clearest operational strengths. The platform can retain daily, weekly, and monthly volume backups and restore them into the same project and environment. Railway also documents PostgreSQL point-in-time recovery for eligible Postgres deployments.
Raff Apps supports persistent volumes, but this comparison does not claim a native Apps-volume backup schedule that is absent from the current canonical specification. For teams that want database operations separated from application runtime, Raff provides first-party Managed Databases for five engines: PostgreSQL, MySQL, Valkey, ClickHouse, and Kafka.
Trust and support
Railway's current Trustpilot profile shows 2.9/5; the profile is marked as merged, so that signal should be interpreted cautiously rather than treated as a clean product benchmark. Railway's own support documentation says its Central Station community has 1.8 million+ users and developers, a much larger public community signal than Raff's current customer count.
Raff publishes a 99.9% platform SLA. Railway Pro support usually targets responses within 72 hours but explicitly excludes SLOs; Railway can provide Business Class SLOs and negotiate a contractual SLA for Enterprise customers.
When you should choose Railway over Raff
Choose Railway when:
- You need more regions. Railway exposes 4 standard deployment regions versus Raff Apps' single public
us-east region.
- Usage-based billing matches the workload. Railway meters CPU at $20/vCPU-month and RAM at $10/GB-month, which can suit low-duty-cycle services better than a fixed tier.
- Native volume backups are important. Railway supports daily, weekly, and monthly schedules with retention up to 3 months on the monthly schedule.
- PR infrastructure is central to development. Railway can provision full or focused PR Environments automatically from GitHub pull requests.
- You want explicit replica controls. Current plan limits allow up to 6 replicas on Hobby and 42 on Pro.
- A $0 experimentation tier matters. Railway Free includes $1 of resource usage per month.
- Railway's deployment canvas and templates fit the team. GitHub, Docker images, databases, volumes, variables, and services are modeled in one project workflow.
When you should choose Raff over Railway
Choose Raff Apps when:
- A fixed cost ceiling matters. Raff Apps starts at $3/month and publishes ceilings through $119.99/month rather than leaving CPU and RAM fully variable.
- Public egress is material. Raff Apps charges $0 for public app egress versus Railway's $0.05/GB.
- Docker Compose is the deployment artifact. Raff imports a full Compose stack; Railway maps Compose services into separate Railway services instead of running the Compose file directly.
- First-party managed data should be separate from app containers. Raff provides 5 managed data engines: PostgreSQL, MySQL, Valkey, ClickHouse, and Kafka.
- One public eastern-U.S. region is sufficient. Railway's four-region advantage has less value when
us-east already satisfies latency and architecture needs.
- A published standard SLA matters. Raff publishes a 99.9% platform SLA, while Railway's Pro support documentation explicitly excludes SLOs.
- Predictable team pricing matters. Raff Apps seats cost $0, and the spend cap is enabled by default.
Raff Apps is a live managed application platform. For adjacent app-platform decisions, compare Render and Raff, DigitalOcean App Platform and Raff, and Fly.io and Raff.
Migrating from Railway to Raff
- Inventory the Railway project. Record services, GitHub repositories, Docker images, build and start commands, variables, private-network dependencies, public domains, replicas, regions, cron jobs, functions, volumes, database services, backup schedules, and PR Environment behavior.
- Map Railway services to Raff Apps. Move public HTTP workloads to web services, internal APIs to private services, queue consumers to workers, schedules to cron jobs, and administrative tasks to one-off jobs. Gotcha: a Railway project can contain service relationships that are implicit in reference variables and internal DNS, so document them before migration.
- Choose the deployment source. Use GitHub, a Dockerfile, an existing image, buildpacks, or Docker Compose on Raff. If the original architecture started from Compose, this is the point to restore the Compose file as the source of truth rather than maintaining a Railway-specific service translation.
- Move durable state. Export Railway PostgreSQL, MySQL, Redis, MongoDB, or other database data with native tools and copy volume data through an application-safe workflow. Gotcha: Railway deployment rollback restores code/image and variables, not a database; volume backups must be restored or exported separately.
- Recreate configuration and verify. Add secrets, private service bindings, domains, health checks, persistent volumes, managed data services, callbacks, and external allowlists. Test startup ordering, background workers, cron behavior, cold-start expectations, restore procedures, and a temporary hostname before cutover.
- Cut over with rollback. Lower DNS TTL to 300 seconds, freeze writes where required, run the final data sync, update DNS and callback URLs, monitor production, and retain the Railway environment until the rollback window closes.
Stateless GitHub or container services are generally the easiest part of a Railway-to-Raff migration. Stateful volumes, database recovery, Railway reference variables, PR-environment assumptions, multi-region placement, internal DNS, and provider-specific deployment settings create most of the migration risk.
Use the App Platform Migration Checklist to validate environment variables, data recovery, private service dependencies, DNS cutover, and rollback.
About Railway
Railway is a deployment platform operated by Railway Corporation, with its legal contact address in San Francisco, California. It provides application services, cron jobs, functions, databases, volumes, private networking, deployment regions, GitHub automation, PR environments, observability, and usage-based billing for developers and production teams.
Railway pricing, region, backup, deployment, and support claims in this comparison were verified against Railway's official documentation on August 17, 2026.
Conclusion: Railway or Raff?
The Railway-versus-Raff decision resolves across four measured axes: cost model, geographic/scaling reach, deployment portability, and data/reliability operations.
- Cost model: Raff Apps starts at $3/month with fixed service ceilings and $0 public egress; Railway starts at $0, then meters CPU at $20/vCPU-month, RAM at $10/GB-month, and egress at $0.05/GB.
- Geographic and scaling reach: Railway exposes 4 regions and up to 42 Pro replicas; Raff Apps exposes one public
us-east region and a simpler fixed-tier operating model.
- Deployment portability: Raff supports full Docker Compose import, while Railway translates Compose services into Railway services; both support GitHub and container workflows.
- Data and reliability operations: Railway has native scheduled volume backups and Enterprise SLA options; Raff publishes a 99.9% platform SLA and separates application runtime from five first-party managed data engines.
Choose Railway when global placement, explicit replicas, native volume backup schedules, PR environments, or pay-for-actual-use economics are the deciding requirements. Choose Raff when us-east is sufficient and fixed service ceilings, $0 public egress, Compose portability, and first-party managed data make the app bill and architecture easier to reason about.
Raff publishes a 99.9% platform SLA. Railway's public Trustpilot profile currently shows 2.9/5, while Railway reports a Central Station community of 1.8 million+ users and developers; the different sample sizes and profile structures make review scores context rather than a substitute for technical due diligence.
