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Software · head to head

Dataiku vs Figma

Dataiku logo

Dataiku

Software

Everyday AI, Extraordinary People

From
Free
Rated
-
Full reviewWebsite
Figma logo

Figma

Software

The collaborative interface design tool

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Dataiku no pricing is published at any tier, and the plans page carries no figures at all; Figma no offline editing capability, can only view and create new files when disconnected
  • They diverge on capability: Dataiku covers Visual data prep, Figma covers Real-time collaboration.

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
Founded20132012

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).

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 data prep
  • AutoML
  • MLOps
  • Collaboration
  • Governence
  • Python
  • R
  • Spark

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

  • Building and deploying data science and machine learning pipelinesnot Figma
  • Giving analysts and data scientists a shared visual and code environmentnot 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

  • No pricing is published at any tier, and the plans page carries no figures at all
  • User, row and compute limits are not stated, so nothing about scale can be assessed before contacting sales
  • Access begins with a demo request or a trial rather than a self serve signup

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 data prep.
  • You want to start without paying.
  • You work on Linux, Mac, Windows, Web.
  • You also want automl.
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 building and deploying data science and machine learning pipelines, giving analysts and data scientists a shared visual and code environment. Of those, building and deploying data science and machine learning pipelines and giving analysts and data scientists a shared visual and code environment are not what Figma is typically brought in for.
What can Dataiku do that Figma cannot?
Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. Figma covers Real-time collaboration, Vector networks, Auto-layout, Components & variants.

Answered from the vendors’ own pages

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
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
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
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
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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