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Machine Learning · head to head

JMP vs Quantum Metric

JMP logo

JMP

Machine Learning

Desktop statistical and design of experiments software from a SAS subsidiary

From
Free
Rated
-
Full reviewWebsite
Quantum Metric logo

Quantum Metric

Business Intelligence

Continuous product design platform

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.; Quantum Metric only enterprise plans are offered and the pricing page publishes no rate, no session volume tier and no minimum
  • They diverge on capability: JMP covers Custom design of experiments, Quantum Metric covers Session Replay.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which JMP and Quantum Metric actually diverge.

Attributes where JMP and Quantum Metric differ
AttributeJMPQuantum Metric
Starting priceFreeOn request
Free tierYesNo
PlatformsMac, WindowsWeb, Mobile
CategoryMachine LearningBusiness Intelligence
Founded19762015

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 Quantum Metric

  • Session Replay
  • Opportunity Analysis
  • Anomaly Detection
  • Real-time Alerts
  • Impact Scoring
  • Adobe Analytics
  • Google Analytics
  • Salesforce

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

Quantum Metric

  • Session replay and digital experience analytics for large web and mobile propertiesnot JMP
  • Quantifying friction and conversion loss in checkout and signup flowsnot JMP
  • Streaming behavioural insights into a data warehousenot 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.

Quantum Metric

  • Only enterprise plans are offered and the pricing page publishes no rate, no session volume tier and no minimum
  • The page states plans are built around your business, with the only routes being a personalised discussion, a live demo or product tours
  • There is no self-serve tier, free plan or trial published

Pricing, plan by plan

JMP

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

Quantum Metric

On request
  • CustomFree
    • Full Platform
    • Real-time Analytics
    • 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 Quantum Metric if

  • You need session replay.
  • You work on Web, Mobile.
  • You also want opportunity analysis.
Quantum Metric review

Questions people ask

Is JMP or Quantum Metric better?
Neither clearly leads. JMP starts at Free and Quantum Metric at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, JMP or Quantum Metric?
JMP has a free tier; the other does not. Paid plans start at Free for JMP and On request for Quantum Metric.
Does JMP or Quantum Metric run on more platforms?
JMP runs on Mac, Windows. Quantum Metric runs on Web, Mobile.
Can I use JMP for free?
Yes. JMP has a free tier, so you can try it without paying. Quantum Metric 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 Quantum Metric is typically brought in for.
What can JMP do that Quantum Metric cannot?
JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools. Quantum Metric covers Session Replay, Opportunity Analysis, Anomaly Detection, Real-time Alerts.

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.

Quantum Metric: How much does Quantum Metric cost?

Quantum Metric uses custom pricing based on annual session volume, number of digital properties monitored, and product add-ons. Exact costs require contacting the sales team.

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.

Quantum Metric: Does Quantum Metric offer a free trial?

The pricing page does not mention a free trial option. Interested parties must request a demo to discuss pricing and obtain a custom quote.

Source
JMP: Does it run on Linux?

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

Quantum Metric: What factors affect Quantum Metric pricing?

Pricing scales with digital properties (websites and applications monitored), session volume (data collected and analyzed), and customer success tier selected. Add-on products like employee experience, data enrichment, and data streaming have separate pricing considerations.

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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