Softwr

Developer Tools · head to head

Dagger vs JFrog Artifactory

Dagger logo

Dagger

Developer Tools

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

From
Free
Rated
-
Full reviewWebsite
JFrog Artifactory logo

JFrog Artifactory

Developer Tools

The Universal Binary Repository

From
Free
Rated
-
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.; JFrog Artifactory pro tier limited-time pricing at $50/month (regular rate $150/month); overages charged per GB at tiered rates
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Dagger and JFrog Artifactory actually diverge.

Attributes where Dagger and JFrog Artifactory differ
AttributeDaggerJFrog Artifactory
Pricing modelPer month per team for Dagger Cloudusage-based
PlatformsLinux, macOS, Windows, Self-hostedWeb

Identical on both: starting price (Free), free tier (Yes), 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 JFrog Artifactory

Nothing recorded that Dagger does not also cover.

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 JFrog Artifactory
  • An engineering organisation migrating off a CI provider that does not want to rewrite every pipeline as part of the migrationnot JFrog Artifactory
  • A team whose engineers waste hours pushing commits to debug CI-only failures and needs to reproduce the exact run locallynot JFrog Artifactory
  • A monorepo where most commits touch a small subset of services and cache-accurate step skipping cuts build minutes materiallynot JFrog Artifactory

JFrog Artifactory

  • Governing AI models and agents in single source of truthnot Dagger
  • Syncing artifacts across federated repositories in multiple sitesnot Dagger
  • Blocking risky and non-compliant open-source packages proactivelynot Dagger
  • Automating source code vulnerability remediation in real-timenot Dagger
  • Collecting compliance evidence throughout software lifecyclenot 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.

JFrog Artifactory

  • Pro tier limited-time pricing at $50/month (regular rate $150/month); overages charged per GB at tiered rates
  • Enterprise+ plan requires custom quote; specific pricing not published
  • Consumption-based model adds unpredictability to monthly costs for variable storage needs

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

JFrog Artifactory

Free
  • Pro$50/month
    • Limited-time offer pricing (regularly $150/month)
    • 25 GB storage included monthly
    • Tiered overage pricing: $1.25 per GB at 25-1,204 GB usage
  • Enterprise X$950/month
    • 125 GB storage included
    • High availability and artifact federation
    • SSO and advanced security scanning included

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 JFrog Artifactory if

  • You want to start without paying.
JFrog Artifactory review

Questions people ask

Is Dagger or JFrog Artifactory better?
Neither clearly leads. Dagger starts at Free and JFrog Artifactory at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dagger or JFrog Artifactory?
Dagger starts at Free and JFrog Artifactory at Free.
Does Dagger or JFrog Artifactory run on more platforms?
Dagger runs on Linux, macOS, Windows, Self-hosted. JFrog Artifactory runs on Web.
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 JFrog Artifactory is typically brought in for.
What can Dagger do that JFrog Artifactory cannot?
Dagger covers Pipelines as code, Local and CI parity, Content-addressed caching, Dagger Functions and modules.

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.

JFrog Artifactory: How much does JFrog Artifactory cost?

JFrog Artifactory Pro is currently $50 per month (limited-time rate; regular $150/month) with 25 GB included and $1.25 per GB for overages. Enterprise X starts at $950 per month with 125 GB included. Enterprise+ plans use custom pricing available through sales.

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.

JFrog Artifactory: What are JFrog's data storage limits?

JFrog Artifactory charges based on consumption: Pro includes 25 GB monthly with tiered overage costs ($1.25/GB at 25-1,204 GB, $1.00/GB at 1,204-2,024 GB, $0.75/GB above 2,024 GB). Enterprise X includes 125 GB with similar tiered overages for additional storage.

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.

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.

Share

Related pages

More on Dagger

More on JFrog Artifactory

Keep looking

Other head to heads