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Machine Learning · head to head

Dataiku vs Shortcut

Dataiku logo

Dataiku

Machine Learning

Browser-based platform where visual data preparation and written code share one pipeline

From
Free
Rated
-
Full reviewWebsite
Shortcut logo

Shortcut

Technology

Project management for software teams

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Dataiku visual recipes are stored as Dataiku's own configuration and do not export as runnable SQL or Python, so a Flow with hundreds of visual steps has to be rebuilt from scratch if the organisation ever leaves, and that cost rises with every project added.; Shortcut limited reporting compared to Jira
  • They diverge on capability: Dataiku covers Visual Flow, Shortcut covers Stories & epics.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Dataiku and Shortcut actually diverge.

Attributes where Dataiku and Shortcut differ
AttributeDataikuShortcut
Pricing modelfreemiumUnknown
PlatformsLinux, Mac, Windows, WebWeb, macOS, Windows, Linux
CategoryMachine LearningTechnology
Founded20132014

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 Dataiku

  • Visual Flow
  • Visual recipes
  • Code recipes and notebooks
  • Computation pushdown
  • Automated machine learning
  • Scenarios
  • Node topology
  • Governance features

Only in Shortcut

  • Stories & epics
  • Iterations (sprints)
  • Kanban boards
  • Roadmaps
  • Reporting
  • Docs
  • API & webhooks
  • Mobile apps

What people use each for

The jobs each tool is most often brought in to do.

Dataiku

  • Organisations where analysts and data scientists must collaborate on the same pipeline rather than exchanging extractsnot Shortcut
  • Regulated model risk environments needing documented lineage, sign-off and a record of how a production model was producednot Shortcut
  • Pushing heavy transformations down into a cloud warehouse while keeping the pipeline definition in one reviewable placenot Shortcut
  • Large enterprises replacing a sprawl of spreadsheets and unmanaged scripts with something a governance function will acceptnot Shortcut

Shortcut

  • Sprint planningnot Dataiku
  • Bug trackingnot Dataiku
  • Feature developmentnot Dataiku
  • Product roadmappingnot Dataiku
  • Team collaborationnot Dataiku

Where each one falls short

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

Dataiku

  • Visual recipes are stored as Dataiku's own configuration and do not export as runnable SQL or Python, so a Flow with hundreds of visual steps has to be rebuilt from scratch if the organisation ever leaves, and that cost rises with every project added.
  • Production requires separate automation and API nodes, each installed and licensed, so the figure quoted for building models is not the figure for running them.
  • Licensing is per user across tiers, and the lower tiers are constrained enough that occasional contributors frequently end up needing a full seat, which makes a wide rollout cost more than the initial estimate suggested.
  • A self-hosted installation needs a dedicated administrator for upgrades, connection management, permissions and node topology, so the licence is a fraction of the real cost of ownership.
  • Computation pushes down to the warehouse or Spark cluster where it is billed by that provider, so a platform sold on making analysts self-sufficient can generate a large warehouse bill that nobody attributes back to it.

Shortcut

  • Limited reporting compared to Jira
  • Designed specifically for software teams, not general project management
  • Can experience slow loading times with very large projects

Pricing, plan by plan

Dataiku

Free
  • Free EditionFree
    • Single user
    • Core features
  • EnterpriseFree
    • Full platform
    • Collaboration
    • MLOps

Shortcut

Free
  • FreeFree
    • Kanban boards
    • Sprints
    • Roadmaps
  • Team$8.5/user/month
    • Unlimited users
    • Advanced reports
    • WIP limits
  • Business$12/user/month
    • Unlimited workspaces
    • OKRs
    • Advanced custom fields
  • Enterprise$undefined/custom
    • Volume discounts
    • SSO/SCIM
    • Premier support

Which should you pick?

Choose Dataiku if

  • You need visual flow.
  • You want to start without paying.
  • You work on Linux, Mac, Windows, Web.
  • You also want visual recipes.
Dataiku review

Choose Shortcut if

  • You need stories & epics.
  • You want to start without paying.
  • You work on Web, macOS, Windows, Linux.
  • You also want iterations (sprints).
Shortcut review

Questions people ask

Is Dataiku or Shortcut better?
Neither clearly leads. Dataiku starts at Free and Shortcut at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dataiku or Shortcut?
Dataiku starts at Free and Shortcut at Free.
Does Dataiku or Shortcut run on more platforms?
Dataiku runs on Linux, Mac, Windows, Web. Shortcut runs on Web, macOS, Windows, Linux.
Can I use Dataiku for free?
Both have a free tier, so you can try either at no cost before committing.
What is Dataiku best used for?
Dataiku is most often used for organisations where analysts and data scientists must collaborate on the same pipeline rather than exchanging extracts, regulated model risk environments needing documented lineage, sign-off and a record of how a production model was produced, pushing heavy transformations down into a cloud warehouse while keeping the pipeline definition in one reviewable place, large enterprises replacing a sprawl of spreadsheets and unmanaged scripts with something a governance function will accept. Of those, organisations where analysts and data scientists must collaborate on the same pipeline rather than exchanging extracts and regulated model risk environments needing documented lineage, sign-off and a record of how a production model was produced are not what Shortcut is typically brought in for.
What can Dataiku do that Shortcut cannot?
Dataiku covers Visual Flow, Visual recipes, Code recipes and notebooks, Computation pushdown. Shortcut covers Stories & epics, Iterations (sprints), Kanban boards, Roadmaps.

Answered from the vendors’ own pages

Dataiku: Is there a free version?

There is a free edition with limits on users and features, adequate for evaluation and personal work. Anything a team runs in production is a negotiated commercial agreement.

Shortcut: Does Shortcut have a free plan?

Yes, Shortcut offers a free plan for up to 10 users with core features like kanban boards, roadmaps, sprints, and reports. Paid plans start at $8.50 per user per month.

Source
Dataiku: Do I have to write code to use it?

No. That is the premise. An analyst can build a complete pipeline through visual recipes, and a data scientist can write Python next to it in the same Flow.

Shortcut: Does Shortcut integrate with GitHub?

Yes, Shortcut has native GitHub integration that automatically syncs pull requests and commits to stories, and includes GitLab and Bitbucket support as well.

Source
Dataiku: Where does the computation actually run?

Wherever you connect it. Transformations are pushed down into the warehouse, database or Spark cluster where the data lives, which is efficient and also means the compute cost appears on that provider's bill rather than Dataiku's.

Shortcut: Can I use Shortcut for non-technical projects?

Shortcut is built for software teams, though you can customize workflows for other use cases. Linear and Asana may be better suited for non-technical project management.

Source
Dataiku: Can I export my work if we leave?

Code recipes are your code and leave with you. Visual recipes do not export as equivalent code, so the visual portion of a Flow has to be reimplemented, and that portion tends to be the majority in the projects where the platform succeeded best.

Shortcut: Does Shortcut support SSO and SCIM?

Yes, SSO and SCIM support are available on the Enterprise plan, allowing centralized identity management for large organizations.

Source
Dataiku: Self-hosted or cloud?

Both are offered. Self-hosting gives control over data residency and networking and requires an administrator; the managed cloud removes that work and moves the constraint to what the vendor's environment supports.

Shortcut: What's the difference between Shortcut and Jira?

Shortcut is lighter and faster with less setup required, while Jira offers deeper customization and enterprise features. Shortcut works better for modern software teams wanting simplicity; Jira suits enterprises needing extensive configuration.

Source
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