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Business Intelligence · head to head

Dundas BI vs JMP

Dundas BI logo

Dundas BI

Business Intelligence

Flexible business intelligence platform

From
$500/month
Rated
-
JMP logo

JMP

Machine Learning

Desktop statistical and design of experiments software from a SAS subsidiary

From
Free
Rated
-

The short version

  • Only JMP has a free tier, so it costs nothing to try first.
  • Each has a real cost: Dundas BI the published Embedded BI Package starts from about $4,738.70 USD per month billed annually for 8 core capacity; JMP it is a desktop application holding the working table in memory, so a data set that outgrows the workstation has no in-place upgrade path, only a move to a different tool and a different skill set.
  • They diverge on capability: Dundas BI covers White-labeling, JMP covers Custom design of experiments.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Dundas BI and JMP actually diverge.

Attributes where Dundas BI and JMP differ
AttributeDundas BIJMP
Starting price$500/monthFree
Free tierNoYes
PlatformsWeb, Embedded, MobileMac, Windows
CategoryBusiness IntelligenceMachine Learning
Founded19921976

Identical on both: pricing model (subscription), 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 Dundas BI

  • White-labeling
  • Embedded Analytics
  • Data Preparation
  • Custom Visualizations
  • API
  • SQL Server
  • Oracle
  • PostgreSQL

Only in JMP

  • Custom design of experiments
  • Linked interactive graphics
  • Analysis platforms
  • Quality and process tools
  • Graph Builder
  • JSL scripting
  • Scoring code export
  • Predictive modelling in JMP Pro

What people use each for

The jobs each tool is most often brought in to do.

Dundas BI

  • Embedding dashboards and analytics inside another applicationnot JMP
  • Self service business intelligence and ad hoc reportingnot JMP
  • Building custom data visualisations against open BI APIsnot JMP

JMP

  • Planning a physical experiment where each run is expensive, and the question is which twelve runs to perform rather than how to model data you already havenot Dundas BI
  • Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot Dundas BI
  • Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot Dundas BI
  • Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot Dundas BI

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

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

JMP

  • It is a desktop application holding the working table in memory, so a data set that outgrows the workstation has no in-place upgrade path, only a move to a different tool and a different skill set.
  • There is no Linux build and no server edition for running analyses, so JMP cannot sit in a scheduled pipeline the way an R or Python script can, and recurring reports depend on a named person running them on a laptop.
  • The predictive modelling capability most buyers mean when they call this machine learning software is in JMP Pro, a separate and more expensive licence, so the base product's price is not the price of the thing being evaluated.
  • JSL is proprietary to JMP, so the scripts, add-ins and automation a group accumulates over a decade do not port anywhere and become sunk cost the moment anyone questions the renewal.
  • Deployment ends at exported scoring code with no registry, monitoring or retraining, so a model that runs in production is maintained by another team in another language and steadily diverges from the version the analyst still has open.

Pricing, plan by plan

Dundas BI

$500/month
  • Professional$500/month
    • Full Platform
    • Embedding
    • Support
  • EnterpriseFree
    • Unlimited Users
    • Multi-tenant
    • Premium Support

JMP

Free
  • TrialFree
    • 30-day trial
    • Full features
  • JMP$1785/year
    • Core JMP
    • Standard features

Which should you pick?

Choose Dundas BI if

  • You need white-labeling.
  • You work on Web, Embedded, Mobile.
  • You also want embedded analytics.

Choose JMP if

  • You need custom design of experiments.
  • You want to start without paying.
  • You work on Mac, Windows.
  • You also want linked interactive graphics.

Questions people ask

Is Dundas BI or JMP better?
Neither clearly leads. Dundas BI starts at $500/month and JMP at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dundas BI or JMP?
JMP has a free tier; the other does not. Paid plans start at $500/month for Dundas BI and Free for JMP.
Does Dundas BI or JMP run on more platforms?
Dundas BI runs on Web, Embedded, Mobile. JMP runs on Mac, Windows.
Can I use JMP for free?
Yes. JMP has a free tier, so you can try it without paying. Dundas BI starts at $500/month.
What is Dundas BI best used for?
Dundas BI is most often used for embedding dashboards and analytics inside another application, self service business intelligence and ad hoc reporting, building custom data visualisations against open bi apis. Of those, embedding dashboards and analytics inside another application and self service business intelligence and ad hoc reporting are not what JMP is typically brought in for.
What can Dundas BI do that JMP cannot?
Dundas BI covers White-labeling, Embedded Analytics, Data Preparation, Custom Visualizations. JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools.

Answered from the vendors’ own pages

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.

Source
JMP: Is JMP the same thing as SAS?

No. JMP is a separate desktop product from a SAS subsidiary, with its own interface, its own scripting language and its own licence. Knowing SAS does not transfer to it beyond the statistics.

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.

Source
JMP: Do I need JMP Pro?

If you want cross validation, penalised regression, boosted trees or neural networks, yes. The base edition covers classical statistics, graphics and design of experiments well and stops short of predictive modelling.

JMP: Does it run on Linux?

No. Windows and macOS only, as an installed application.

JMP: Can I put a JMP model into production?

Only by exporting the scoring formula as SQL, C, Python or similar and running it in another system. JMP itself does not serve, monitor or retrain models.

JMP: Who actually uses it?

Process and quality engineers, and scientists in R&D, particularly in semiconductor, chemicals, pharmaceutical and medical device work. It is not usually chosen by data engineering or platform teams.

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