Developer Tools · head to head
Cortex vs Dagger
Cortex
Developer Tools
Internal developer portal that scores service ownership and maturity rather than just cataloguing services
- From
- On request
- Rated
- -
Dagger
Developer Tools
Programmable CI/CD engine that runs your pipeline as containers on any runner
- From
- Free
- Rated
- -
The short version
- Only Dagger has a free tier, so it costs nothing to try first.
- Each has a real cost: Cortex pricing is quote only, so a platform team cannot build a business case or compare against the true cost of self-hosted Backstage without entering a sales cycle first.; 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.
- They diverge on capability: Cortex covers Service catalogue, Dagger covers Pipelines as code.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Cortex and Dagger 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 Cortex
- Service catalogue
- Scorecards
- Initiatives
- Self-service templates
- Query language
- Eng intelligence
- Integrations layer
- On-call and ownership mapping
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
What people use each for
The jobs each tool is most often brought in to do.
Cortex
- A platform team that needs to prove to leadership how far a Kubernetes or framework migration has actually progressed across hundreds of servicesnot Dagger
- An organisation where ownership of production services is genuinely unknown after reorganisations or acquisitionsnot Dagger
- Enforcing production readiness standards on new services at creation time rather than at incident reviewnot Dagger
- Replacing a self-hosted Backstage that is consuming a full-time engineer or two just to stay upgradednot Dagger
Dagger
- A platform team maintaining near-identical build YAML across forty repositories that wants one versioned module every repository calls insteadnot Cortex
- An engineering organisation migrating off a CI provider that does not want to rewrite every pipeline as part of the migrationnot Cortex
- A team whose engineers waste hours pushing commits to debug CI-only failures and needs to reproduce the exact run locallynot Cortex
- A monorepo where most commits touch a small subset of services and cache-accurate step skipping cuts build minutes materiallynot Cortex
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Cortex
- Pricing is quote only, so a platform team cannot build a business case or compare against the true cost of self-hosted Backstage without entering a sales cycle first.
- The catalogue is only as accurate as the metadata you supply, so an organisation with inconsistent repository conventions spends its first quarter cleaning data before any scorecard means anything.
- Scorecards create political friction: publishing a per-team grade turns an engineering standard into a performance metric, and teams will game the rules rather than fix the underlying issue.
- It is closed source and hosted, so organisations with strict data residency or air-gap requirements have limited options compared with running Backstage themselves.
- Value scales with organisation size, so a company with fifty engineers and thirty services will find the catalogue tells them nothing they did not already know while still paying an enterprise contract.
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.
Pricing, plan by plan
Cortex
On request- Cortex$undefined/year
- Service catalogue and ownership mapping
- Scorecards and initiatives
- Self-service templates
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
Which should you pick?
Choose Cortex if
- You need service catalogue.
- You work on Web, API.
- You also want scorecards.
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.
Questions people ask
- Is Cortex or Dagger better?
- Neither clearly leads. Cortex starts at On request and Dagger at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Cortex or Dagger?
- Dagger has a free tier; the other does not. Paid plans start at On request for Cortex and Free for Dagger.
- Does Cortex or Dagger run on more platforms?
- Cortex runs on Web, API. Dagger runs on Linux, macOS, Windows, Self-hosted.
- Can I use Dagger for free?
- Yes. Dagger has a free tier, so you can try it without paying. Cortex starts at On request.
- What is Cortex best used for?
- Cortex is most often used for a platform team that needs to prove to leadership how far a kubernetes or framework migration has actually progressed across hundreds of services, an organisation where ownership of production services is genuinely unknown after reorganisations or acquisitions, enforcing production readiness standards on new services at creation time rather than at incident review, replacing a self-hosted backstage that is consuming a full-time engineer or two just to stay upgraded. Of those, a platform team that needs to prove to leadership how far a kubernetes or framework migration has actually progressed across hundreds of services and an organisation where ownership of production services is genuinely unknown after reorganisations or acquisitions are not what Dagger is typically brought in for.
- What can Cortex do that Dagger cannot?
- Cortex covers Service catalogue, Scorecards, Initiatives, Self-service templates. Dagger covers Pipelines as code, Local and CI parity, Content-addressed caching, Dagger Functions and modules.
Answered from the vendors’ own pages
Cortex: How is Cortex different from Backstage?
Backstage is an open source framework you build and staff. Cortex is a hosted product with scorecards and initiatives out of the box and no platform team required to keep it running.
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.
Cortex: Is pricing published?
No. Cortex requires a sales conversation and prepares a custom proposal.
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.
Cortex: Can it self-host?
It is offered as a hosted product; on-premise arrangements are handled through sales rather than published.
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.
Cortex: What is the main adoption risk?
Bad or missing service metadata. The catalogue and every scorecard on top of it inherit whatever quality your repositories already have.
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.
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