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Machine Learning · head to head

JMP vs SAP Analytics Cloud

JMP logo

JMP

Machine Learning

Desktop statistical and design of experiments software from a SAS subsidiary

From
Free
Rated
-
Full reviewWebsite
SAP Analytics Cloud logo

SAP Analytics Cloud

Inventory

Enterprise inventory analytics and planning

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.; SAP Analytics Cloud high implementation costs and complexity for large enterprises
  • They diverge on capability: JMP covers Custom design of experiments, SAP Analytics Cloud covers Advanced analytics.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which JMP and SAP Analytics Cloud actually diverge.

Attributes where JMP and SAP Analytics Cloud differ
AttributeJMPSAP Analytics Cloud
Starting priceFreeOn request
Free tierYesNo
PlatformsMac, WindowsCloud
CategoryMachine LearningInventory
Founded19761972

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 SAP Analytics Cloud

  • Advanced analytics
  • Demand planning
  • Inventory optimization
  • Predictive modeling
  • Supply chain visibility
  • Real-time reporting
  • Machine learning capabilities
  • SAP ecosystem

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

SAP Analytics Cloud

  • Demand forecastingnot JMP
  • Inventory optimizationnot JMP
  • Supply chain analyticsnot JMP
  • Predictive planningnot 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.

SAP Analytics Cloud

  • High implementation costs and complexity for large enterprises
  • Requires significant data governance and planning infrastructure

Pricing, plan by plan

JMP

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

SAP Analytics Cloud

On request
  • Standard$5000/month
    • Core analytics
    • 20 users
    • Standard support
  • Premium$10000/month
    • Advanced planning
    • 30 users
    • Priority support
  • Enterprise$20000/month
    • Full suite
    • Unlimited users
    • Dedicated 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 SAP Analytics Cloud if

  • You need advanced analytics.
  • You work on Cloud.
  • You also want demand planning.
SAP Analytics Cloud review

Questions people ask

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

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.

SAP Analytics Cloud: What are the main modules in SAP Analytics Cloud?

SAP Analytics Cloud combines business intelligence (BI), enterprise planning, and predictive analytics in one solution for unified financial, supply chain, and operational planning.

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.

SAP Analytics Cloud: Does SAP Analytics Cloud support AI and machine learning?

Yes, SAP Analytics Cloud includes Joule, an AI assistant that helps automate forecasts at any planning level, uncover insights, and develop business plans.

Source
JMP: Does it run on Linux?

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

SAP Analytics Cloud: What data sources can I connect to SAP Analytics Cloud?

SAP Analytics Cloud supports native Snowflake connectivity, Azure SQL, and integration with SAP Datasphere for unified data management across multiple sources.

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.

SAP Analytics Cloud: What planning features does SAP Analytics Cloud offer?

SAP Analytics Cloud provides enterprise planning capabilities including budgeting, forecasting, and supply chain planning with real-time data and collaborative workflows.

Source
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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