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Machine Learning · head to head

Dataiku vs Open edX

Dataiku logo

Dataiku

Machine Learning

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

From
Free
Rated
-
Full reviewWebsite
Open edX logo

Open edX

Education

Open-source platform powering online learning

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.; Open edX no license fees for software but requires separate spending on hosting, infrastructure, and maintenance
  • They diverge on capability: Dataiku covers Visual Flow, Open edX covers Course authoring.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Dataiku and Open edX actually diverge.

Attributes where Dataiku and Open edX differ
AttributeDataikuOpen edX
Pricing modelfreemiumfree
PlatformsLinux, Mac, Windows, WebWeb, IOS, Android
CategoryMachine LearningEducation
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 Open edX

  • Course authoring
  • Interactive videos
  • Assessments
  • Discussions
  • Certificates
  • Analytics
  • Mobile apps
  • xBlocks

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

Open edX

  • MOOC creationnot Dataiku
  • Corporate trainingnot Dataiku
  • Blended learningnot Dataiku
  • Degree programsnot 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.

Open edX

  • No license fees for software but requires separate spending on hosting, infrastructure, and maintenance
  • Customization and support from third-party providers requires additional investment

Pricing, plan by plan

Dataiku

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

Open edX

Free
  • Self-HostedFree
    • Full platform
    • Community support
    • All features
  • Managed Hosting$undefined/month
    • Hosted solution
    • Support
    • Maintenance

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 Open edX if

  • You need course authoring.
  • You want to start without paying.
  • You work on Web, IOS, Android.
  • You also want interactive videos.
Open edX review

Questions people ask

Is Dataiku or Open edX better?
Neither clearly leads. Dataiku starts at Free and Open edX at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dataiku or Open edX?
Dataiku starts at Free and Open edX at Free.
Does Dataiku or Open edX run on more platforms?
Dataiku runs on Linux, Mac, Windows, Web. Open edX runs on Web, 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 Open edX is typically brought in for.
What can Dataiku do that Open edX cannot?
Dataiku covers Visual Flow, Visual recipes, Code recipes and notebooks, Computation pushdown. Open edX covers Course authoring, Interactive videos, Assessments, Discussions.

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.

Open edX: How much does Open edX cost?

Open edX software itself is completely free with no license fees. Organizations must cover their own hosting, infrastructure, maintenance, and customization costs.

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.

Open edX: Are there hosting options for Open edX?

Open edX offers three deployment options: self-hosted (organizations deploy independently), managed providers (third-party companies offer cost-effective managed services), and a free sandbox for testing.

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.

Open edX: What does free mean for Open edX?

There are no license fees to use the Open edX software. Organizations can download and deploy it independently or use managed hosting providers for a fee.

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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