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Machine Learning · head to head

JMP vs SAP BusinessObjects

JMP logo

JMP

Machine Learning

Desktop statistical and design of experiments software from a SAS subsidiary

From
Free
Rated
-
Full reviewWebsite
SAP BusinessObjects logo

SAP BusinessObjects

Business Intelligence

Enterprise business intelligence suite

From
$400/month
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 BusinessObjects sAP BusinessObjects Private Cloud Edition is listed on UK G-Cloud 14 as a Cloud software service by SAP (UK) Limited titled 'SAP Business Objects Private Cloud Edition', alongside a reseller listing from NTT DATA Business Solutions; the G-Cloud search results describe it as subscription-based but show no per-user or per-month figure in the listing summary
  • They diverge on capability: JMP covers Custom design of experiments, SAP BusinessObjects covers Crystal Reports.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which JMP and SAP BusinessObjects actually diverge.

Attributes where JMP and SAP BusinessObjects differ
AttributeJMPSAP BusinessObjects
Starting priceFree$400/month
Free tierYesNo
PlatformsMac, WindowsWeb, Desktop, Mobile
CategoryMachine LearningBusiness Intelligence
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 BusinessObjects

  • Crystal Reports
  • Web Intelligence
  • Lumira
  • Analysis for Office
  • Live Office
  • SAP HANA
  • SAP ERP
  • Oracle

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

SAP BusinessObjects

  • Enterprise reportingnot JMP
  • Executive dashboardsnot JMP
  • Regulatory compliancenot JMP
  • Strategic planningnot JMP
  • Operational 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.

SAP BusinessObjects

  • SAP BusinessObjects Private Cloud Edition is listed on UK G-Cloud 14 as a Cloud software service by SAP (UK) Limited titled 'SAP Business Objects Private Cloud Edition', alongside a reseller listing from NTT DATA Business Solutions; the G-Cloud search results describe it as subscription-based but show no per-user or per-month figure in the listing summary

Pricing, plan by plan

JMP

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

SAP BusinessObjects

$400/month
  • Standard$400/month
    • Core BI Tools
    • Web Intelligence
    • Crystal Reports
  • EnterpriseFree
    • Full Suite
    • Advanced Features
    • Premium 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 BusinessObjects if

  • You need crystal reports.
  • You work on Web, Desktop, Mobile.
  • You also want web intelligence.
SAP BusinessObjects review

Questions people ask

Is JMP or SAP BusinessObjects better?
Neither clearly leads. JMP starts at Free and SAP BusinessObjects at $400/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, JMP or SAP BusinessObjects?
JMP has a free tier; the other does not. Paid plans start at Free for JMP and $400/month for SAP BusinessObjects.
Does JMP or SAP BusinessObjects run on more platforms?
JMP runs on Mac, Windows. SAP BusinessObjects runs on Web, Desktop, Mobile.
Can I use JMP for free?
Yes. JMP has a free tier, so you can try it without paying. SAP BusinessObjects starts at $400/month.
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 BusinessObjects is typically brought in for.
What can JMP do that SAP BusinessObjects cannot?
JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools. SAP BusinessObjects covers Crystal Reports, Web Intelligence, Lumira, Analysis for Office.

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.

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.

JMP: Does it run on Linux?

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

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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