Developer Tools · head to head
Dagger vs WarpBuild

Dagger
Developer Tools
Programmable CI/CD engine that runs your pipeline as containers on any runner
- From
- Free
- Rated
- -

WarpBuild
Developer Tools
2x faster, 50% cheaper GitHub Actions runners
- From
- On request
- Rated
- -
The short version
- Only Dagger has a free tier, so it costs nothing to try first.
- 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.; WarpBuild per-minute pricing requires tracking usage to estimate monthly costs
- They diverge on capability: Dagger covers Pipelines as code, WarpBuild covers Optimized runner infrastructure.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Dagger and WarpBuild actually diverge.
Identical on both: user rating (Not yet rated), category (Developer Tools).
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 WarpBuild
- Optimized runner infrastructure
- Intelligent caching
- Incremental builds
- Multi-architecture support
- Unlimited concurrency
- Autoscaling
- BYOC support
- Docker builders
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 WarpBuild
- An engineering organisation migrating off a CI provider that does not want to rewrite every pipeline as part of the migrationnot WarpBuild
- A team whose engineers waste hours pushing commits to debug CI-only failures and needs to reproduce the exact run locallynot WarpBuild
- A monorepo where most commits touch a small subset of services and cache-accurate step skipping cuts build minutes materiallynot WarpBuild
WarpBuild
- Accelerating CI builds for teams with high test volumesnot Dagger
- Running tests generated by AI coding assistants efficientlynot Dagger
- Reducing GitHub Actions costs by 50% or morenot Dagger
- Supporting teams that need ARM64 architecture runnersnot 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.
WarpBuild
- Per-minute pricing requires tracking usage to estimate monthly costs
- Large configuration runners (32 vCPU) expensive at $0.064/min
- macOS M4 Pro 12-core at $0.16/min is highest-cost option
- BYOC option requires cloud setup by customer
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
WarpBuild
On request- Linux x86-64 (2vCPU, 8GB)$0.004/minute
- 2 vCPU
- 8 GB RAM
- Standard performance
- Linux x86-64 (4vCPU, 16GB)$0.008/minute
- 4 vCPU
- 16 GB RAM
- Increased performance
- Linux x86-64 (8vCPU, 32GB)$0.016/minute
- 8 vCPU
- 32 GB RAM
- High performance
- Linux x86-64 (16vCPU, 64GB)$0.032/minute
- 16 vCPU
- 64 GB RAM
- Enterprise performance
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.
Choose WarpBuild if
- You need optimized runner infrastructure.
- You work on GitHub Actions, Linux, Windows, macOS, Cloud.
- You also want intelligent caching.
Questions people ask
- Is Dagger or WarpBuild better?
- Neither clearly leads. Dagger starts at Free and WarpBuild at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dagger or WarpBuild?
- Dagger has a free tier; the other does not. Paid plans start at Free for Dagger and On request for WarpBuild.
- Does Dagger or WarpBuild run on more platforms?
- Dagger runs on Linux, macOS, Windows, Self-hosted. WarpBuild runs on GitHub Actions, Linux, Windows, macOS, Cloud.
- Can I use Dagger for free?
- Yes. Dagger has a free tier, so you can try it without paying. WarpBuild starts at On request.
- 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 WarpBuild is typically brought in for.
- What can Dagger do that WarpBuild cannot?
- Dagger covers Pipelines as code, Local and CI parity, Content-addressed caching, Dagger Functions and modules. WarpBuild covers Optimized runner infrastructure, Intelligent caching, Incremental builds, Multi-architecture support.
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.
WarpBuild: How much cheaper is WarpBuild compared to GitHub Actions?
WarpBuild offers approximately 50% cost savings compared to GitHub-hosted runners. For example, Linux x86-64 2vCPU/8GB costs $0.004/min with WarpBuild vs $0.008/min with GitHub Actions.
SourceDagger: 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.
WarpBuild: What is BYOC and how does it differ from managed runners?
BYOC (Bring Your Own Cloud) allows customers to run WarpBuild on their own cloud infrastructure at $0.002/min. Managed runners use WarpBuild's cloud infrastructure. BYOC provides lower costs but requires customer setup.
SourceDagger: 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.
WarpBuild: Does WarpBuild support ARM64 runners?
Yes, WarpBuild offers ARM64 runners at lower costs than x86-64. Linux ARM64 starts at $0.003/min for 2vCPU/8GB configuration.
SourceDagger: 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.
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