Machine Learning · head to head
JMP vs Minitab

JMP
Machine Learning
Desktop statistical and design of experiments software from a SAS subsidiary
- From
- Free
- Rated
- -

Minitab
Machine Learning
Statistical software for quality engineering, and the tool Six Sigma training is written around
- From
- $2394/year
- Rated
- -
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.; Minitab licensing is a per named user subscription, so an organisation where fifty engineers each need it twice a quarter pays fifty full seats for people who open it eight times a year.
- They diverge on capability: JMP covers Custom design of experiments, Minitab covers Control charts.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which JMP and Minitab actually diverge.
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 Minitab
- Control charts
- Process capability analysis
- Measurement systems analysis
- Design of experiments
- Classical statistics
- Assistant
- Predictive Analytics module
- Desktop and browser access
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 Minitab
- Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot Minitab
- Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot Minitab
- Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot Minitab
Minitab
- Six Sigma and process improvement projects where the training materials and internal procedures already assume Minitabnot JMP
- Producing capability and gage studies as evidence for a customer audit or a regulatory submissionnot JMP
- Design of experiments on a production process, run by an engineer who will not be writing codenot JMP
- Quality departments that need credible statistics without hiring a statistician or a data scientistnot 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.
Minitab
- Licensing is a per named user subscription, so an organisation where fifty engineers each need it twice a quarter pays fifty full seats for people who open it eight times a year.
- Analyses are recorded as a project file and a session log rather than as code, so reviewing what somebody did means reading output instead of reading a script, and reproducing it a year later depends on the same version still being installed.
- The machine learning capability is a separately licensed module with a fixed set of tree-based methods, so it is neither included in the base price nor competitive with what a Python user has for nothing.
- There is no deployment path in the statistical product, so putting a model into a running process means buying Minitab Model Ops as another product or reimplementing the model somewhere else entirely.
- Data handling is worksheet-shaped and held in memory, so anything past a few million rows means preparing the extract in another tool first, and joins and reshaping are clumsy compared with SQL or pandas.
Pricing, plan by plan
JMP
Free- TrialFree
- 30-day trial
- Full features
- JMP$1785/year
- Core JMP
- Standard features
Minitab
$2394/year- Solution Center Core$2394/year
- Marked as Most Popular
- Best for quality professionals
- Minitab Dashboards
- Solution Center Analytics$2593.5/year
- Best for analytics professionals
- Includes predictive analytics capabilities
- Minitab Dashboards
- Solution Center Copilot$2793/year
- All-in-one platform for operational excellence
- Includes AI-powered insights
- Minitab Dashboards
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.
Choose Minitab if
- You need control charts.
- You work on Mac, Windows, Web.
- You also want process capability analysis.
Questions people ask
- Is JMP or Minitab better?
- Neither clearly leads. JMP starts at Free and Minitab at $2394/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, JMP or Minitab?
- JMP has a free tier; the other does not. Paid plans start at Free for JMP and $2394/year for Minitab.
- Does JMP or Minitab run on more platforms?
- JMP runs on Mac, Windows. Minitab runs on Mac, Windows, Web.
- Can I use JMP for free?
- Yes. JMP has a free tier, so you can try it without paying. Minitab starts at $2394/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 Minitab is typically brought in for.
- What can JMP do that Minitab cannot?
- JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools. Minitab covers Control charts, Process capability analysis, Measurement systems analysis, Design of experiments.
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.
Minitab: Does Minitab run on macOS?
The installed desktop application is Windows. Mac users work through the browser version, which is included with the subscription but is not identical in every feature.
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.
Minitab: Is it machine learning software?
Not primarily. It is a statistics package for quality and process work. Predictive modelling exists in a separate Predictive Analytics module and is limited to tree-based methods.
JMP: Does it run on Linux?
No. Windows and macOS only, as an installed application.
Minitab: Can I buy a perpetual licence?
The current offer is subscription based. Older perpetual licences exist in the field but are not the way the product is sold now.
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.
Minitab: What is the difference between Minitab and Minitab Workspace or Engage?
Minitab Statistical Software does the analysis. Workspace and Engage are separate products for process mapping, project management and improvement programme governance, and are licensed separately.
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.
Minitab: Can I automate it?
Only to a limited degree. There is a command language and integration options, but it is designed to be driven by a person through menus, not scheduled in a pipeline.
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