Machine Learning · head to head
JMP vs SAS
JMP
Machine Learning
Desktop statistical and design of experiments software from a SAS subsidiary
- From
- Free
- Rated
- -
The short version
- 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.; SAS sAS publishes no rate, no minimum and no named cost driver; the how to buy page offers only a customized price quote based on your requirements and deployment preferences
- They diverge on capability: JMP covers Custom design of experiments, SAS covers Statistical analysis.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which JMP and SAS actually diverge.
Identical on both: starting price (Free), pricing model (subscription), free tier (Yes), user rating (Not yet rated), category (Machine Learning), founded (1976).
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 SAS
- Statistical analysis
- Machine learning
- Forecasting
- Text analytics
- Optimization
- Python
- R
- Hadoop
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 SAS
- Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot SAS
- Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot SAS
- Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot SAS
SAS
- Regulated statistical analysis and clinical reportingnot JMP
- Enterprise data management, visualization and decisioning on one licensed platformnot 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.
SAS
- SAS publishes no rate, no minimum and no named cost driver; the how to buy page offers only a customized price quote based on your requirements and deployment preferences
- Most new and existing customers are routed through authorized resellers rather than buying direct
- Cloud marketplace purchases require choosing between pay as you go and bring your own licence, each with different licensing terms
Pricing, plan by plan
JMP
Free- TrialFree
- 30-day trial
- Full features
- JMP$1785/year
- Core JMP
- Standard features
SAS
Free- SAS OnDemand for AcademicsFree
- Academic use
- Core SAS
- SAS ViyaFree
- Full platform
- Cloud-native
- AI/ML
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 SAS if
- You need statistical analysis.
- You want to start without paying.
- You work on Linux, Windows, Web.
- You also want machine learning.
Questions people ask
- Is JMP or SAS better?
- Neither clearly leads. JMP starts at Free and SAS at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, JMP or SAS?
- JMP starts at Free and SAS at Free.
- Does JMP or SAS run on more platforms?
- JMP runs on Mac, Windows. SAS runs on Linux, Windows, Web.
- Can I use JMP for free?
- Both have a free tier, so you can try either at no cost before committing.
- 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 SAS is typically brought in for.
- What can JMP do that SAS cannot?
- JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools. SAS covers Statistical analysis, Machine learning, Forecasting, Text analytics.
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.
SAS: Does SAS offer a free trial?
Yes, SAS offers a free trial through a private trial environment for SAS Viya. Interested customers can request access by submitting a trial form on their website.
SourceJMP: 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.
SAS: How does SAS price its software?
SAS does not publish standard pricing on its website. Instead, it uses a custom enterprise sales model where customers can choose between paying as-you-go or purchasing SAS Viya Enterprise. Specific pricing must be requested directly from their sales team.
SourceJMP: Does it run on Linux?
No. Windows and macOS only, as an installed application.
SAS: What are my pricing options?
SAS offers flexible purchasing models including pay-as-you-go and enterprise licensing options. The company states they can help you find the environment that fits your needs, but specific terms must be discussed with sales.
SourceJMP: 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.
SAS: How do I get a pricing quote?
You can request pricing through their website by using the quote request form, requesting a customized demo, or contacting their sales team directly.
SourceJMP: 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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