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Dagger vs Fabi

Dagger logo

Dagger

Developer Tools

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

From
Free
Free plan
Yes
Visit DaggerFull review
Fabi logo

Fabi

Business Intelligence

AI notebooks combining SQL, Python and no-code for small data teams

From
Free
Free plan
Yes
Visit FabiFull review

The short version

  • Free plans on both; paid from $50/mo and $39/mo.
  • Only Dagger lists pipelines as code; only Fabi lists smart Reports.
  • Where Fabi falls short: the free and Builder tiers cap AI requests, and the daily cap on Starter is reached quickly during genuine exploratory work.
  • Prices and features on this page were last checked on 31 August 2026.

Where they differ

Only the attributes on which Dagger and Fabi actually diverge.

Attributes where Dagger and Fabi differ
AttributeDaggerFabi
Pricing modelPer month per team for Dagger CloudPer user per month
PlatformsLinux, macOS, Windows, Self-hostedWeb
CategoryDeveloper ToolsBusiness Intelligence

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

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 Fabi

  • Smartbooks
  • Smart Reports
  • AI analysis
  • Scheduled runs
  • Database connectors
  • Viewer seats

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

Fabi

  • A single analyst at a startup fielding ad hoc questions faster than dashboards can be built for themnot Dagger
  • An operations team that needs Python for a one-off analysis but has to hand the result to non-technical colleaguesnot Dagger
  • Replacing a set of scheduled Jupyter notebooks that nobody outside the data team can read or rerunnot Dagger
  • Exploratory work against a warehouse where building a semantic model first would cost more than the answer is worthnot 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

Fabi

  • Fabi is an early-stage company with a small team, so the durability risk is real and there is no obvious migration path for Smartbooks if it stops trading
  • There is no meaningful governance layer: no data catalogue, no certified metric definitions and limited lineage, so it does not scale to an organisation that needs a single agreed number
  • The free and Builder tiers cap AI requests, and the daily cap on Starter is reached quickly during genuine exploratory work
  • Connector counts are limited by tier, so the Builder plan at 39 dollars connects to exactly one data source, which is rarely enough in practice
  • It overlaps heavily with what Snowflake, Databricks and Hex now ship natively, so a company already paying for one of those is buying a fourth notebook interface

Pricing, plan by plan

Dagger

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

Fabi

Free
  • StarterFree
    • One builder seat
    • Ten dashboard viewers
    • Five Smartbooks
  • Builder$39/mo
    • Twenty-five Smart Report viewers
    • Ten Smartbooks with workflows
    • One data connector
  • Team$199/mo
    • Four builder seats, extra seats at 39 USD
    • Fifty viewers
    • Premium connector
  • EnterpriseOn request
    • Unlimited builder seats
    • Full connector access
    • Custom security review

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 Fabi if

  • You need smartbooks.
  • You want to start without paying.
  • You also want smart reports.
Fabi review

Questions people ask

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

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.

Fabi: Is there a free plan?

Yes, a Starter tier with one builder, ten viewers, five Smartbooks and ten AI requests a day.

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.

Fabi: Do viewers cost money?

Viewers are bundled by tier rather than charged individually; builders are the priced seat.

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.

Fabi: Can I run arbitrary Python?

Yes, Smartbooks include Python cells alongside SQL and no-code steps.

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.

Fabi: How many data connectors does the entry paid plan include?

One. Additional and premium connectors come with the Team tier.

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