Cloud · head to head
Northflank vs Railway
The short version
- Each has a real cost: Northflank pricing complexity with multiple rate dimensions; Railway plan fees are usage credits rather than allowances, so the $5 Hobby and $20 Pro fees are spent on compute and anything beyond is billed on top
- They diverge on capability: Northflank covers Application deployments, Railway covers Git integration.
Where they differ
Only the attributes on which Northflank and Railway actually diverge.
| Attribute | Northflank | Railway |
|---|---|---|
| Pricing model | Unknown | usage-based |
| Platforms | AWS, GCP, Azure, On-premises | Web, Api, Docker |
| Founded | Unknown | 2021 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Cloud).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Northflank
- Application deployments
- GPU support
- Preview environments
- Database management
- Multi-cloud support
- GitOps integration
Only in Railway
- Git integration
- Zero-config deployment
- PostgreSQL
- MySQL
- Redis
- Environment variables
- Custom domains
- Monitoring
What people use each for
The jobs each tool is most often brought in to do.
Northflank
- Deploying AI inference models with GPU accelerationnot Railway
- Running training workloads on distributed GPUsnot Railway
- Building microservices with multi-cloud reliabilitynot Railway
Railway
- Deploying applications and databases without managing serversnot Northflank
- Running preview environments and services straight from a repositorynot Northflank
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Northflank
- Pricing complexity with multiple rate dimensions
- GPU costs can be expensive for large-scale deployments
- Learning curve for Kubernetes concepts
Railway
- Plan fees are usage credits rather than allowances, so the $5 Hobby and $20 Pro fees are spent on compute and anything beyond is billed on top
- The free plan carries $1 of monthly credit and caps a service at 1 vCPU and 0.5 GB
- Compute is metered per second for both memory and CPU, so cost tracks uptime rather than traffic and an idle service still bills
- Egress is $0.05 per GB on top of compute
- The Pro fee is per workspace rather than per user or per project
Pricing, plan by plan
Northflank
Free- Sandbox (Free)Free
- Always-on compute with no sleeping
- 2 free services
- 1 free database
- Pay-as-you-go$undefined/usage
- CPU: $0.01667 per vCPU per hour
- Memory: $0.00833 per GB per hour
- Network egress: $0.06 per GB
- Enterprise$undefined/custom
- Custom pricing with volume discounts
- Invoice-based billing
- Annual commitments
Railway
Free- FreeFree
- $5 credit/month
- Community support
- Unlimited projects
- Pro$20/month
- Private repos
- Priority support
- Advanced monitoring
Which should you pick?
Choose Northflank if
- You need application deployments.
- You want to start without paying.
- You work on AWS, GCP, Azure, On-premises.
- You also want gpu support.
Choose Railway if
- You need git integration.
- You want to start without paying.
- You work on Web, Api, Docker.
- You also want zero-config deployment.
Questions people ask
- Is Northflank or Railway better?
- Neither clearly leads. Northflank starts at Free and Railway at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Northflank or Railway?
- Northflank starts at Free and Railway at Free.
- Does Northflank or Railway run on more platforms?
- Northflank runs on AWS, GCP, Azure, On-premises. Railway runs on Web, Api, Docker.
- Can I use Northflank for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Northflank best used for?
- Northflank is most often used for deploying ai inference models with gpu acceleration, running training workloads on distributed gpus, building microservices with multi-cloud reliability. Of those, deploying ai inference models with gpu acceleration and running training workloads on distributed gpus are not what Railway is typically brought in for.
- What can Northflank do that Railway cannot?
- Northflank covers Application deployments, GPU support, Preview environments, Database management. Railway covers Git integration, Zero-config deployment, PostgreSQL, MySQL.
Answered from the vendors’ own pages
Northflank: What is included in the free Sandbox tier?
The Sandbox includes always-on compute, 2 free services, 1 free database, 2 free cron jobs, and is perfect for testing applications.
SourceRailway: How much does Railway cost?
Railway's Hobby plan is $5 per month and includes $5 of monthly usage credit. Pro is $20 per month per workspace with $20 of credit included. Enterprise is quoted. Usage beyond the included credit is billed per second.
SourceNorthflank: How much does CPU cost on Northflank?
CPU costs $0.01667 per vCPU per hour on pay-as-you-go pricing.
SourceRailway: Does Railway have a free tier?
Yes, two. A one-time Free Trial gives $5 of credit valid for 30 days, and an ongoing Free plan includes $1 per month with 1 vCPU and 0.5 GB per service, 1 replica and 3 days of log history.
SourceNorthflank: What GPUs are available?
GPU options include NVIDIA L4 at $0.80/hr through H100 at $2.74/hr.
SourceRailway: What are Railway's resource limits per plan?
The Free plan allows 1 vCPU and 0.5 GB per service with 1 replica. Hobby raises that to 48 vCPU and 48 GB with 6 replicas. Pro allows 1,000 vCPU and 1 TB per service with 42 replicas and 30 days of log history.
SourceRailway: How does Railway bill usage above the included credit?
Railway charges memory at $0.00000386 per GB per second and CPU at $0.00000772 per vCPU per second, with storage volumes at $0.00000006 per GB per second, plus separate egress and object storage fees.
SourceRelated pages
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