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Technology · head to head

ClickUp vs Dataiku

ClickUp logo

ClickUp

Technology

One app to replace them all

From
Free
Rated
-
Dataiku logo

Dataiku

Machine Learning

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

From
Free
Rated
-

The short version

  • Each has a real cost: ClickUp the free plan is capped at 60MB of storage, 5 spaces, 1 form and 3 whiteboards, so the limits are structural rather than just a seat count; 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.
  • They diverge on capability: ClickUp covers Multiple view types, Dataiku covers Visual Flow.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which ClickUp and Dataiku actually diverge.

Attributes where ClickUp and Dataiku differ
AttributeClickUpDataiku
Pricing modelUnknownfreemium
PlatformsWeb, iOS, Android, macOS, WindowsLinux, Mac, Windows, Web
CategoryTechnologyMachine Learning
Founded20172013

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 ClickUp

  • Multiple view types
  • Custom fields
  • Automation
  • Time tracking
  • Goal tracking
  • Document collaboration
  • Whiteboards
  • Mind maps

Only in Dataiku

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

What people use each for

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

ClickUp

  • Project managementnot Dataiku
  • Software developmentnot Dataiku
  • Marketing campaignsnot Dataiku
  • Product roadmapsnot Dataiku
  • Client managementnot Dataiku

Dataiku

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

Where each one falls short

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

ClickUp

  • The free plan is capped at 60MB of storage, 5 spaces, 1 form and 3 whiteboards, so the limits are structural rather than just a seat count
  • Gantt charts, time tracking and goals require Unlimited at $7 per user per month billed yearly
  • Automations are rationed by tier, at 5,000 a month on Business and 250,000 on Enterprise
  • SAML SSO, custom roles and HIPAA compliance are Enterprise only
  • AI is charged separately, at $9 per user per month for Brain and $28 for Everything AI
  • Monthly billing is substantially dearer, at $10 and $19 against the yearly rates

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.

Pricing, plan by plan

ClickUp

Free
  • FreeFree
    • Unlimited tasks
    • 60 MB storage
    • Collaborative docs
  • Unlimited$7/user/month
    • Unlimited storage
    • All views
    • Time tracking
  • Business$12/user/month
    • Sprint reporting
    • Private docs
    • All Unlimited features
  • Business Plus$undefined/custom
    • Advanced features

Dataiku

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

Which should you pick?

Choose ClickUp if

  • You need multiple view types.
  • You want to start without paying.
  • You work on Web, iOS, Android, macOS, Windows.
  • You also want custom fields.

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.

Questions people ask

Is ClickUp or Dataiku better?
Neither clearly leads. ClickUp starts at Free and Dataiku at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ClickUp or Dataiku?
ClickUp starts at Free and Dataiku at Free.
Does ClickUp or Dataiku run on more platforms?
ClickUp runs on Web, iOS, Android, macOS, Windows. Dataiku runs on Linux, Mac, Windows, Web.
Can I use ClickUp for free?
Both have a free tier, so you can try either at no cost before committing.
What is ClickUp best used for?
ClickUp is most often used for project management, software development, marketing campaigns, product roadmaps. Of those, project management and software development are not what Dataiku is typically brought in for.
What can ClickUp do that Dataiku cannot?
ClickUp covers Multiple view types, Custom fields, Automation, Time tracking. Dataiku covers Visual Flow, Visual recipes, Code recipes and notebooks, Computation pushdown.

Answered from the vendors’ own pages

ClickUp: How many views does ClickUp support?

ClickUp includes List, Table, Board, Calendar, Gantt, and Inbox views, plus Whiteboards for collaboration and multiple specialized views for different workflows.

Source
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.

ClickUp: What is ClickUp Brain?

ClickUp Brain is the AI feature providing workspace Q&A, task summaries, and AI-powered automation available as an add-on at $9 or $28/user/month depending on usage.

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.

ClickUp: How long does it take to set up ClickUp?

Initial setup typically takes 2-4 weeks depending on team size and complexity needs, which is longer than Monday.com (1-2 days) but necessary for ClickUp's flexibility.

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.

ClickUp: Does ClickUp have built-in time tracking?

Yes, time tracking is included in the first paid plan (Unlimited) at $7/user/month, allowing teams to track project hours without additional tools.

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.

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.

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