Softwr

Machine Learning · head to head

Dataiku vs Figma

Dataiku logo

Dataiku

Machine Learning

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

From
Free
Rated
-
Full reviewWebsite
Figma logo

Figma

Technology

The collaborative interface design tool

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.; Figma no offline editing capability, can only view and create new files when disconnected
  • They diverge on capability: Dataiku covers Visual Flow, Figma covers Real-time collaboration.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Dataiku and Figma actually diverge.

Attributes where Dataiku and Figma differ
AttributeDataikuFigma
Pricing modelfreemiumUnknown
PlatformsLinux, Mac, Windows, WebWeb, macOS, Windows, iOS, Android
CategoryMachine LearningTechnology
Founded20132012

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 Figma

  • Real-time collaboration
  • Vector networks
  • Auto-layout
  • Components & variants
  • Prototyping
  • Design systems
  • Developer handoff
  • Version control

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 Figma
  • Regulated model risk environments needing documented lineage, sign-off and a record of how a production model was producednot Figma
  • Pushing heavy transformations down into a cloud warehouse while keeping the pipeline definition in one reviewable placenot Figma
  • Large enterprises replacing a sprawl of spreadsheets and unmanaged scripts with something a governance function will acceptnot Figma

Figma

  • UI/UX designnot Dataiku
  • Design systemsnot Dataiku
  • Prototypingnot Dataiku
  • Design collaborationnot Dataiku
  • Developer handoffnot 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.

Figma

  • No offline editing capability, can only view and create new files when disconnected
  • Mobile apps are read-only, cannot edit designs on iOS or Android
  • No self-hosted option, requires cloud connectivity and internet access
  • Performance degradation with large files containing thousands of layers
  • Library components and unloaded pages not accessible offline

Pricing, plan by plan

Dataiku

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

Figma

Free
  • StarterFree
    • Unlimited drafts
    • 3 Figma files
    • 3 FigJam boards
  • Professional$12/month
    • Unlimited files and folders
    • Team libraries
    • Advanced prototyping
  • Organization$55/month
    • Unlimited teams
    • Shared libraries
    • Design system theming
  • Enterprise$90/month
    • Custom workspaces
    • API access
    • SCIM seat management

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 Figma if

  • You need real-time collaboration.
  • You want to start without paying.
  • You work on Web, macOS, Windows, iOS, Android.
  • You also want vector networks.
Figma review

Questions people ask

Is Dataiku or Figma better?
Neither clearly leads. Dataiku starts at Free and Figma at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dataiku or Figma?
Dataiku starts at Free and Figma at Free.
Does Dataiku or Figma run on more platforms?
Dataiku runs on Linux, Mac, Windows, Web. Figma runs on Web, macOS, Windows, iOS, Android.
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 Figma is typically brought in for.
What can Dataiku do that Figma cannot?
Dataiku covers Visual Flow, Visual recipes, Code recipes and notebooks, Computation pushdown. Figma covers Real-time collaboration, Vector networks, Auto-layout, Components & variants.

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.

Figma: What's included in Figma's free tier?

Figma's Starter plan is free forever and includes unlimited drafts, up to 3 Figma files, 3 FigJam boards, core design features (vector editing, auto layout, components, prototyping), basic developer handoff (inspect), and 150 AI credits per day up to 500 per month. Maximum 2 editors per file.

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.

Figma: Does Figma work offline?

Figma has very limited offline support. You can create one new file and edit currently loaded pages, but cannot open previously created files, access new pages, search for library components, or see real-time collaboration. Changes are cached locally for up to 30 days and sync when you reconnect.

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.

Figma: Can you self-host Figma?

No. Figma is a closed, cloud-only platform with no option to self-host or run on your own servers.

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.

Figma: What export formats does Figma support?

Figma exports to PNG, JPEG, SVG (at 1x scale only), and PDF (at 1x scale only). Export settings allow customization of resolution, quality, and scale.

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.

Figma: What platforms does Figma support?

Figma is available as a web app (all platforms), desktop apps for macOS and Windows, and mobile apps for iOS and Android. Linux users can access Figma through the web browser only.

Source
Figma: What are Figma's integrations?

Figma integrates with Slack, Microsoft Teams, Jira, Asana, Linear, Notion, VS Code, Zapier, and hundreds of other tools. Integration categories include collaboration, project management, developer handoff, prototyping, and AI/code generation.

Source
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