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Machine Learning · head to head

JMP vs MATLAB

JMP logo

JMP

Machine Learning

Desktop statistical and design of experiments software from a SAS subsidiary

From
Free
Rated
-
Full reviewWebsite
MATLAB logo

MATLAB

Machine Learning

Programming and numeric computing platform

From
$940/year
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.; MATLAB a standard individual licence is $940 a year, and it is annual rather than perpetual
  • They diverge on capability: JMP covers Custom design of experiments, MATLAB covers Matrix computations.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which JMP and MATLAB actually diverge.

Attributes where JMP and MATLAB differ
AttributeJMPMATLAB
Starting priceFree$940/year
Free tierYesNo
PlatformsMac, WindowsLinux, Mac, Windows
Founded19761984

Identical on both: pricing model (subscription), user rating (Not yet rated), category (Machine Learning).

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 MATLAB

  • Matrix computations
  • Data visualization
  • Machine learning
  • Deep learning
  • Signal processing
  • Simulink
  • Python
  • C/C++

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

MATLAB

  • Numerical computing and analysisnot JMP
  • Algorithm developmentnot JMP
  • Academic research and teachingnot 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.

MATLAB

  • A standard individual licence is $940 a year, and it is annual rather than perpetual
  • Add on toolboxes are bought separately through the web store rather than being included
  • No price is displayed for the academic, student, home or startup licences, each of which requires a quote
  • Eligibility rather than price separates most tiers, so a commercial user has one option

Pricing, plan by plan

JMP

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

MATLAB

$940/year
  • Individual Standard$940/year
    • MATLAB
    • Simulink
    • Online Training Suite
  • Startups$null/year
    • MATLAB
    • Simulink
    • 90+ add-on products
  • Academic$null/year
    • MATLAB
    • Simulink
  • Student$null/year
    • MATLAB

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 MATLAB if

  • You need matrix computations.
  • You work on Linux, Mac, Windows.
  • You also want data visualization.
MATLAB review

Questions people ask

Is JMP or MATLAB better?
Neither clearly leads. JMP starts at Free and MATLAB at $940/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, JMP or MATLAB?
JMP has a free tier; the other does not. Paid plans start at Free for JMP and $940/year for MATLAB.
Does JMP or MATLAB run on more platforms?
JMP runs on Mac, Windows. MATLAB runs on Linux, Mac, Windows.
Can I use JMP for free?
Yes. JMP has a free tier, so you can try it without paying. MATLAB starts at $940/year.
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 MATLAB is typically brought in for.
What can JMP do that MATLAB cannot?
JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools. MATLAB covers Matrix computations, Data visualization, Machine learning, Deep learning.

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.

MATLAB: What is the cost of an individual MATLAB license?

USD 940 per year for Standard individual license, which includes MATLAB, Simulink, Online Training Suite, and add-on products. All licenses include MathWorks Software Maintenance Service.

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.

MATLAB: Are pricing quotes available online for academic and startup licenses?

No, online pricing is not available for Academic, Student, Startup, or Home license types. Downloadable price lists are available only for Standard and Academic individual licenses. Contact sales for other tiers.

Source
JMP: Does it run on Linux?

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

MATLAB: Can I switch between license terms (annual vs perpetual)?

Both Standard and Home licenses offer annual and perpetual licensing options. Academic licenses also offer both terms. Startup licenses are available on annual basis only.

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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