Machine Learning · head to head
Dataiku vs OnShape

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: 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.; OnShape the free plan is non commercial only and makes every document publicly accessible, so nothing designed on it can be kept private
- They diverge on capability: Dataiku covers Visual Flow, OnShape covers Cloud-native CAD.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Dataiku and OnShape actually diverge.
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 OnShape
- Cloud-native CAD
- Real-time collaboration
- Version control
- Part studios
- Assemblies
- Drawings
- FeatureScript
- Mobile access
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 OnShape
- Regulated model risk environments needing documented lineage, sign-off and a record of how a production model was producednot OnShape
- Pushing heavy transformations down into a cloud warehouse while keeping the pipeline definition in one reviewable placenot OnShape
- Large enterprises replacing a sprawl of spreadsheets and unmanaged scripts with something a governance function will acceptnot OnShape
OnShape
- Cloud based parametric CAD without local workstation installsnot Dataiku
- Collaborative mechanical design with version history and shared documentsnot 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.
OnShape
- The free plan is non commercial only and makes every document publicly accessible, so nothing designed on it can be kept private
- The Standard plan is $1,500 per user per year and Professional $2,500
- Simulation, rendering, CAM and advanced PDM all require the Professional plan
- SSO, analytics and advanced administration are Enterprise only with no published price
Pricing, plan by plan
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
OnShape
Free- FreeFree
- Limited features
- Public documents
- Standard$1500/month
- Private documents
- Full features
- Professional$2100/month
- Advanced simulation
- Enterprise features
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.
Choose OnShape if
- You need cloud-native cad.
- You want to start without paying.
- You work on Web, IOS, Android.
- You also want real-time collaboration.
Questions people ask
- Is Dataiku or OnShape better?
- Neither clearly leads. Dataiku starts at Free and OnShape at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dataiku or OnShape?
- Dataiku starts at Free and OnShape at Free.
- Does Dataiku or OnShape run on more platforms?
- Dataiku runs on Linux, Mac, Windows, Web. OnShape 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 OnShape is typically brought in for.
- What can Dataiku do that OnShape cannot?
- Dataiku covers Visual Flow, Visual recipes, Code recipes and notebooks, Computation pushdown. OnShape covers Cloud-native CAD, Real-time collaboration, Version control, Part studios.
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.
OnShape: How much does Onshape cost?
Onshape Standard is $1,500 per user per year and Professional is $2,500 per user per year, both billed annually. Enterprise is quoted by sales. A free plan exists for non-commercial use.
SourceDataiku: 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.
OnShape: Is the free version of Onshape usable for commercial work?
No. Onshape states the free plan is for non-commercial use only, and every document created on it is publicly accessible. Private storage requires the Standard plan at $1,500 per user per year.
SourceDataiku: 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.
OnShape: What does Onshape Professional add over Standard?
Professional adds company managed data, release management, advanced PDM, simulation, rendering, ECAD to MCAD exchange and CAM, for $2,500 per user per year against $1,500 for Standard.
SourceDataiku: 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.
OnShape: Can I try Onshape Professional for free?
Onshape states that qualified professionals can try Onshape Professional free for up to 6 months through its Discovery Program, with no credit card required.
SourceDataiku: 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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- OnShape vs JMP
- OnShape vs Minitab
- OnShape vs Mistral AI
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- OnShape vs KeyShot
- OnShape vs COMSOL Multiphysics
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- OnShape vs Lumion
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- OnShape vs ANSYS Fluent
- OnShape vs Substance 3D Designer
- OnShape vs Tinkercad
- OnShape vs Vectorworks
- OnShape vs Houdini
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