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Machine Learning · head to head

JMP vs Palantir Foundry

JMP logo

JMP

Machine Learning

Desktop statistical and design of experiments software from a SAS subsidiary

From
Free
Rated
-
Full reviewWebsite
Palantir Foundry logo

Palantir Foundry

Machine Learning

Operating system for modern enterprise

From
On request
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.; Palantir Foundry custom pricing model with no public information makes budgeting difficult
  • They diverge on capability: JMP covers Custom design of experiments, Palantir Foundry covers Data integration.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which JMP and Palantir Foundry actually diverge.

Attributes where JMP and Palantir Foundry differ
AttributeJMPPalantir Foundry
Starting priceFreeOn request
Free tierYesNo
PlatformsMac, WindowsWeb
Founded19762003

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 Palantir Foundry

  • Data integration
  • Ontology modeling
  • Pipeline builder
  • Operational analytics
  • Governance
  • Enterprise systems
  • Cloud platforms
  • IoT

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

Palantir Foundry

  • Machine learningnot JMP
  • Data analysisnot JMP
  • Model trainingnot JMP
  • Predictive analyticsnot 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.

Palantir Foundry

  • Custom pricing model with no public information makes budgeting difficult
  • Steep implementation and configuration requirements
  • Requires significant technical expertise to operate effectively
  • Long sales cycle typical for enterprise software

Pricing, plan by plan

JMP

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

Palantir Foundry

On request
  • EnterpriseFree
    • Full platform
    • Custom deployment
    • Enterprise support

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 Palantir Foundry if

  • You need data integration.
  • You also want ontology modeling.
Palantir Foundry review

Questions people ask

Is JMP or Palantir Foundry better?
Neither clearly leads. JMP starts at Free and Palantir Foundry at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, JMP or Palantir Foundry?
JMP has a free tier; the other does not. Paid plans start at Free for JMP and On request for Palantir Foundry.
Does JMP or Palantir Foundry run on more platforms?
JMP runs on Mac, Windows. Palantir Foundry runs on Web.
Can I use JMP for free?
Yes. JMP has a free tier, so you can try it without paying. Palantir Foundry starts at On request.
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 Palantir Foundry is typically brought in for.
What can JMP do that Palantir Foundry cannot?
JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools. Palantir Foundry covers Data integration, Ontology modeling, Pipeline builder, Operational 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.

Palantir Foundry: What is Palantir Foundry designed for?

Palantir Foundry is an enterprise data integration and analytics platform supporting end-to-end data pipelines, covering ingestion, processing, pipeline building, monitoring, and creating analytics dashboards with both code and no-code tools.

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.

Palantir Foundry: How much does Palantir Foundry cost?

Palantir Foundry uses custom pricing. No public list pricing is available. Enterprise customers and government agencies must contact Palantir directly for formal quotes and licensing terms.

Source
JMP: Does it run on Linux?

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

Palantir Foundry: Who uses Palantir Foundry?

Palantir Foundry serves enterprise and government organizations needing complex data integration, analytics, and operational intelligence across large-scale data environments.

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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