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Developer Tools · head to head

Dagger vs Railway

Dagger logo

Dagger

Developer Tools

Programmable CI/CD engine that runs your pipeline as containers on any runner

From
Free
Free plan
Yes
Full reviewWebsite
Railway logo

Railway

Cloud

Ship software instantly

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Each has a real cost: Dagger dagger is not a CI provider, so you keep paying for GitHub Actions or GitLab runners underneath it; the Dagger Cloud subscription is an addition to your CI bill, not a replacement for it.; 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: Dagger covers Pipelines as code, Railway covers Git integration.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Dagger and Railway actually diverge.

Attributes where Dagger and Railway differ
AttributeDaggerRailway
Pricing modelPer month per team for Dagger Cloudusage-based
PlatformsLinux, macOS, Windows, Self-hostedWeb, Api, Docker
CategoryDeveloper ToolsCloud
FoundedUnknown2021

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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 Dagger

  • Pipelines as code
  • Local and CI parity
  • Content-addressed caching
  • Dagger Functions and modules
  • CI-provider agnostic
  • Dagger Cloud traces
  • GitHub Checks integration
  • Container-native execution

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.

Dagger

  • A platform team maintaining near-identical build YAML across forty repositories that wants one versioned module every repository calls insteadnot Railway
  • An engineering organisation migrating off a CI provider that does not want to rewrite every pipeline as part of the migrationnot Railway
  • A team whose engineers waste hours pushing commits to debug CI-only failures and needs to reproduce the exact run locallynot Railway
  • A monorepo where most commits touch a small subset of services and cache-accurate step skipping cuts build minutes materiallynot Railway

Railway

  • Deploying applications and databases without managing serversnot Dagger
  • Running preview environments and services straight from a repositorynot Dagger

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Dagger

  • Dagger is not a CI provider, so you keep paying for GitHub Actions or GitLab runners underneath it; the Dagger Cloud subscription is an addition to your CI bill, not a replacement for it.
  • Writing pipelines in Go or TypeScript raises the barrier to entry: a release engineer who could edit a YAML step now needs to read code, and the people who can fix a broken build shrink to those comfortable with the SDK.
  • The engine runs as a container on the runner and needs a persistent cache volume to deliver its main benefit, so ephemeral CI runners give you correctness without the speed, and provisioning durable cache storage is extra platform work.
  • The Team plan caps at ten users and ten million events per month; an organisation of any size crosses that quickly and moves to Enterprise pricing that is not published, so cost at scale is unknowable up front.
  • The module ecosystem is young and thinly maintained relative to the marketplace of a mature CI provider, so integrations that exist as a one-line Action often have to be written yourself as a Dagger function.

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

Dagger

Free
  • IndividualFree
    • One user
    • One million events per month
    • Workflow logs and function call traces
  • Team$50/month
    • Up to ten users
    • Ten million events per month
    • Module insights and module catalogue
  • Enterprise$undefined/year
    • Custom user and event limits
    • SSO
    • Managed single-tenant deployment

Railway

Free
  • FreeFree
    • $5 credit/month
    • Community support
    • Unlimited projects
  • Pro$20/month
    • Private repos
    • Priority support
    • Advanced monitoring

Which should you pick?

Choose Dagger if

  • You need pipelines as code.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Self-hosted.
  • You also want local and ci parity.
Dagger review

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.
Railway review

Questions people ask

Is Dagger or Railway better?
Neither clearly leads. Dagger 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, Dagger or Railway?
Dagger starts at Free and Railway at Free.
Does Dagger or Railway run on more platforms?
Dagger runs on Linux, macOS, Windows, Self-hosted. Railway runs on Web, Api, Docker.
Can I use Dagger for free?
Both have a free tier, so you can try either at no cost before committing.
What is Dagger best used for?
Dagger is most often used for a platform team maintaining near-identical build yaml across forty repositories that wants one versioned module every repository calls instead, an engineering organisation migrating off a ci provider that does not want to rewrite every pipeline as part of the migration, a team whose engineers waste hours pushing commits to debug ci-only failures and needs to reproduce the exact run locally, a monorepo where most commits touch a small subset of services and cache-accurate step skipping cuts build minutes materially. Of those, a platform team maintaining near-identical build yaml across forty repositories that wants one versioned module every repository calls instead and an engineering organisation migrating off a ci provider that does not want to rewrite every pipeline as part of the migration are not what Railway is typically brought in for.
What can Dagger do that Railway cannot?
Dagger covers Pipelines as code, Local and CI parity, Content-addressed caching, Dagger Functions and modules. Railway covers Git integration, Zero-config deployment, PostgreSQL, MySQL.

Answered from the vendors’ own pages

Dagger: Does Dagger replace GitHub Actions?

No. Dagger runs inside GitHub Actions or any other CI. It replaces the YAML that describes your pipeline steps, not the trigger and runner layer.

Railway: 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.

Source
Dagger: Is the engine open source?

Yes, the Dagger engine and SDKs are open source and free. Dagger Cloud, the observability product, is what costs money.

Railway: 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.

Source
Dagger: What is an event in the pricing?

Dagger Cloud meters pipeline telemetry events. One million per month is free; the Team plan at 50 USD per month allows ten million.

Railway: 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.

Source
Dagger: Can I run the same pipeline on my laptop?

Yes, that is the main reason teams adopt it. The dagger CLI executes the identical graph locally, so CI-only failures become reproducible.

Railway: 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.

Source
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