Machine Learning · head to head
Dataiku vs Dundas BI

Dataiku
Machine Learning
Browser-based platform where visual data preparation and written code share one pipeline
- From
- Free
- Rated
- -

Dundas BI
Business Intelligence
Flexible business intelligence platform
- From
- $500/month
- Rated
- -
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.; Dundas BI the published Embedded BI Package starts from about $4,738.70 USD per month billed annually for 8 core capacity
- They diverge on capability: Dataiku covers Visual Flow, Dundas BI covers White-labeling.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Dataiku and Dundas BI actually diverge.
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 Dundas BI
- White-labeling
- Embedded Analytics
- Data Preparation
- Custom Visualizations
- API
- SQL Server
- Oracle
- PostgreSQL
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 Dundas BI
- Regulated model risk environments needing documented lineage, sign-off and a record of how a production model was producednot Dundas BI
- Pushing heavy transformations down into a cloud warehouse while keeping the pipeline definition in one reviewable placenot Dundas BI
- Large enterprises replacing a sprawl of spreadsheets and unmanaged scripts with something a governance function will acceptnot Dundas BI
Dundas BI
- Embedding dashboards and analytics inside another applicationnot Dataiku
- Self service business intelligence and ad hoc reportingnot Dataiku
- Building custom data visualisations against open BI APIsnot 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.
Dundas BI
- The published Embedded BI Package starts from about $4,738.70 USD per month billed annually for 8 core capacity
- That figure reflects a limited time 35 percent promotional discount rather than list price
- Licensing is by CPU core capacity rather than by user, so cost scales with server hardware
- Dundas is now part of insightsoftware following acquisition
- The page states that a pricing plan is worked out together with the vendor rather than published as a rate card
Pricing, plan by plan
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
Dundas BI
$500/month- Professional$500/month
- Full Platform
- Embedding
- Support
- EnterpriseFree
- Unlimited Users
- Multi-tenant
- Premium 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.
Choose Dundas BI if
- You need white-labeling.
- You work on Web, Embedded, Mobile.
- You also want embedded analytics.
Questions people ask
- Is Dataiku or Dundas BI better?
- Neither clearly leads. Dataiku starts at Free and Dundas BI at $500/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dataiku or Dundas BI?
- Dataiku has a free tier; the other does not. Paid plans start at Free for Dataiku and $500/month for Dundas BI.
- Does Dataiku or Dundas BI run on more platforms?
- Dataiku runs on Linux, Mac, Windows, Web. Dundas BI runs on Web, Embedded, Mobile.
- Can I use Dataiku for free?
- Yes. Dataiku has a free tier, so you can try it without paying. Dundas BI starts at $500/month.
- 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 Dundas BI is typically brought in for.
- What can Dataiku do that Dundas BI cannot?
- Dataiku covers Visual Flow, Visual recipes, Code recipes and notebooks, Computation pushdown. Dundas BI covers White-labeling, Embedded Analytics, Data Preparation, Custom Visualizations.
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.
Dundas BI: How much does Dundas BI cost?
Dundas BI does not publish specific pricing. The vendor emphasizes 'smarter licensing models to scale appropriately and achieve ROI rapidly' and offers 'custom plans that fit your needs' rather than standardized tiers. Customers must contact Dundas directly for pricing quotes tailored to their enterprise or embedded analytics use case.
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.
Dundas BI: What licensing options does Dundas BI offer?
Dundas BI describes their approach as flexible licensing designed to scale based on deployment needs. Specific licensing models and per-seat or concurrent-user costs are determined through custom quotes.
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.
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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