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Machine Learning · head to head

JMP vs Yellowfin

JMP logo

JMP

Machine Learning

Desktop statistical and design of experiments software from a SAS subsidiary

From
Free
Rated
-
Full reviewWebsite
Yellowfin logo

Yellowfin

Business Intelligence

Action-based business intelligence

From
$50/month
Rated
-
Full reviewWebsite

The short version

  • Only JMP has a free tier, so it costs nothing to try first.
  • Each has a real cost: 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.; Yellowfin the pricing page publishes no rate, no minimum and no per-user price; every model ends in a Get Pricing form
  • They diverge on capability: JMP covers Custom design of experiments, Yellowfin covers Automated Analysis.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which JMP and Yellowfin actually diverge.

Attributes where JMP and Yellowfin differ
AttributeJMPYellowfin
Starting priceFree$50/month
Free tierYesNo
PlatformsMac, WindowsWeb, Mobile, Embedded
CategoryMachine LearningBusiness Intelligence
Founded19762003

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 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

Only in Yellowfin

  • Automated Analysis
  • Data Stories
  • Collaboration
  • Signals
  • Embedded Analytics
  • Salesforce
  • Google Analytics
  • SQL Server

What people use each for

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

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 Yellowfin
  • Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot Yellowfin
  • Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot Yellowfin
  • Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot Yellowfin

Yellowfin

  • Embedding white-labelled dashboards and analytics into a software productnot JMP
  • Enterprise reporting with automated business monitoring and alertingnot JMP
  • Data storytelling and guided natural language querying for business usersnot JMP

Where each one falls short

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

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.

Yellowfin

  • The pricing page publishes no rate, no minimum and no per-user price; every model ends in a Get Pricing form
  • One of the three embedded models is a revenue share, so Yellowfin takes a cut of the revenue your analytics module earns
  • Another model prices by server core, so scaling deployment hardware raises the licence cost independently of users
  • Getting a quote requires submitting a form with a marketing consent checkbox and a user-count band rather than seeing a rate card

Pricing, plan by plan

JMP

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

Yellowfin

$50/month
  • Team$50/month
    • Dashboards
    • Stories
    • Collaboration
  • EnterpriseFree
    • Advanced Features
    • Embedding
    • Custom SLA

Which should you pick?

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.
JMP review

Choose Yellowfin if

  • You need automated analysis.
  • You work on Web, Mobile, Embedded.
  • You also want data stories.
Yellowfin review

Questions people ask

Is JMP or Yellowfin better?
Neither clearly leads. JMP starts at Free and Yellowfin at $50/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, JMP or Yellowfin?
JMP has a free tier; the other does not. Paid plans start at Free for JMP and $50/month for Yellowfin.
Does JMP or Yellowfin run on more platforms?
JMP runs on Mac, Windows. Yellowfin runs on Web, Mobile, Embedded.
Can I use JMP for free?
Yes. JMP has a free tier, so you can try it without paying. Yellowfin starts at $50/month.
What is JMP best used for?
JMP is most often used for 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 have, process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulator, exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheet, semiconductor, chemical and pharmaceutical development groups where jmp is already the shared language for reporting results. Of those, 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 have and process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulator are not what Yellowfin is typically brought in for.
What can JMP do that Yellowfin cannot?
JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools. Yellowfin covers Automated Analysis, Data Stories, Collaboration, Signals.

Answered from the vendors’ own pages

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.

Yellowfin: What pricing models does Yellowfin offer?

Yellowfin offers three flexible models for embedded analytics: Aligned Utility Model (price per unit), Revenue Share Model (based on analytics revenue value), and Server Core (fixed price based on server deployment).

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.

Yellowfin: Is Yellowfin pricing predictable and scalable?

Yes, Yellowfin pricing is simple, predictable and scalable with no hidden costs or surprises.

Source
JMP: Does it run on Linux?

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

Yellowfin: Are there limits on user access or development environments?

No limitations exist on access to functionality across users. There are also no limits on dev and test licenses, ensuring DevOps is covered.

Source
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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