Business Intelligence · head to head
Glassbox vs JMP

JMP
Machine Learning
Desktop statistical and design of experiments software from a SAS subsidiary
- From
- Free
- Rated
- -
The short version
- Only JMP has a free tier, so it costs nothing to try first.
- Each has a real cost: Glassbox no fixed pricing tiers published; custom quotes required based on package, data retention, and session volume; 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.
- They diverge on capability: Glassbox covers Session Replay, JMP covers Custom design of experiments.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Glassbox and JMP actually diverge.
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 Glassbox
- Session Replay
- Struggle Detection
- Journey Mapping
- AI Insights
- Voice of Customer
- Adobe Analytics
- Google Analytics
- Salesforce
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
What people use each for
The jobs each tool is most often brought in to do.
Glassbox
- User experience analysisnot JMP
- Bug reproductionnot JMP
- Conversion optimizationnot JMP
- Customer journey mappingnot JMP
- Usability testingnot JMP
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 Glassbox
- Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot Glassbox
- Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot Glassbox
- Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot Glassbox
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Glassbox
- No fixed pricing tiers published; custom quotes required based on package, data retention, and session volume
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.
Pricing, plan by plan
Glassbox
On request- CustomFree
- Full Platform
- Mobile Analytics
- Enterprise Support
JMP
Free- TrialFree
- 30-day trial
- Full features
- JMP$1785/year
- Core JMP
- Standard features
Which should you pick?
Choose Glassbox if
- You need session replay.
- You work on Web, Mobile, Hybrid.
- You also want struggle detection.
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.
Questions people ask
- Is Glassbox or JMP better?
- Neither clearly leads. Glassbox starts at On request and JMP at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Glassbox or JMP?
- JMP has a free tier; the other does not. Paid plans start at On request for Glassbox and Free for JMP.
- Does Glassbox or JMP run on more platforms?
- Glassbox runs on Web, Mobile, Hybrid. JMP runs on Mac, Windows.
- Can I use JMP for free?
- Yes. JMP has a free tier, so you can try it without paying. Glassbox starts at On request.
- What is Glassbox best used for?
- Glassbox is most often used for user experience analysis, bug reproduction, conversion optimization, customer journey mapping. Of those, user experience analysis and bug reproduction are not what JMP is typically brought in for.
- What can Glassbox do that JMP cannot?
- Glassbox covers Session Replay, Struggle Detection, Journey Mapping, AI Insights. JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools.
Answered from the vendors’ own pages
Glassbox: How much does Glassbox cost?
Glassbox uses custom pricing based on three factors: the selected package (Production Operation, Marketing/Business, or Product), data retention period, and session volume. The vendor encourages contacting sales to build customized packages.
SourceJMP: 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.
Glassbox: Does Glassbox offer add-ons for specific industries?
Yes, Glassbox offers specialized add-on solutions including fraud prevention, accessibility features, and call center solutions tailored for financial organizations.
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.
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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