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Machine Learning · head to head

Dataiku vs OpenLink Endur

Dataiku logo

Dataiku

Machine Learning

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

From
Free
Rated
-
Full reviewWebsite
OpenLink Endur logo

OpenLink Endur

Energy

Enterprise trading and risk management

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Dataiku has a free tier, so it costs nothing to try first.
  • 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.; OpenLink Endur no pricing published on vendor website; enterprise product requires direct contact with ION Group sales
  • They diverge on capability: Dataiku covers Visual Flow, OpenLink Endur covers Deal capture.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Dataiku and OpenLink Endur actually diverge.

Attributes where Dataiku and OpenLink Endur differ
AttributeDataikuOpenLink Endur
Starting priceFreeOn request
Pricing modelfreemiumquote
Free tierYesNo
PlatformsLinux, Mac, Windows, WebDesktop, Web, Api
CategoryMachine LearningEnergy
Founded20131999

Identical on both: 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 OpenLink Endur

  • Deal capture
  • Position management
  • Risk analytics
  • Credit management
  • Logistics
  • Settlement
  • Accounting integration
  • Regulatory compliance

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

OpenLink Endur

  • Energy tradingnot Dataiku
  • Risk managementnot Dataiku
  • Commodity logisticsnot Dataiku
  • Regulatory compliancenot Dataiku
  • Settlementnot 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.

OpenLink Endur

  • No pricing published on vendor website; enterprise product requires direct contact with ION Group sales

Pricing, plan by plan

Dataiku

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

OpenLink Endur

On request
  • Trading$undefined/custom
    • Deal capture
    • Position management
    • P&L analytics
  • Risk$undefined/custom
    • VaR and PaR
    • Credit risk
    • Limit monitoring
  • Enterprise$undefined/custom
    • Full ETRM suite
    • Multi-commodity
    • Global 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 OpenLink Endur if

  • You need deal capture.
  • You work on Desktop, Web, Api.
  • You also want position management.
OpenLink Endur review

Questions people ask

Is Dataiku or OpenLink Endur better?
Neither clearly leads. Dataiku starts at Free and OpenLink Endur at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dataiku or OpenLink Endur?
Dataiku has a free tier; the other does not. Paid plans start at Free for Dataiku and On request for OpenLink Endur.
Does Dataiku or OpenLink Endur run on more platforms?
Dataiku runs on Linux, Mac, Windows, Web. OpenLink Endur runs on Desktop, Web, Api.
Can I use Dataiku for free?
Yes. Dataiku has a free tier, so you can try it without paying. OpenLink Endur starts at On request.
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 OpenLink Endur is typically brought in for.
What can Dataiku do that OpenLink Endur cannot?
Dataiku covers Visual Flow, Visual recipes, Code recipes and notebooks, Computation pushdown. OpenLink Endur covers Deal capture, Position management, Risk analytics, Credit management.

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.

OpenLink Endur: How much does OpenLink Endur cost?

OpenLink Endur does not publish pricing on the ION Group website. This is an enterprise product requiring direct contact with ION Group sales for custom pricing.

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.

OpenLink Endur: How can I get pricing for OpenLink Endur?

Contact ION Group directly through their contact forms, request a demo, or work with their sales team to receive a custom quote for OpenLink Endur.

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.

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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