Spreadsheets · head to head
Apache Superset vs JMP

Apache Superset
Spreadsheets
Modern data exploration and visualization platform
- From
- Free
- Rated
- -

JMP
Machine Learning
Desktop statistical and design of experiments software from a SAS subsidiary
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Apache Superset no commercial pricing; open-source project; 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: Apache Superset covers 40+ Visualizations, 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 Apache Superset and JMP actually diverge.
| Attribute | Apache Superset | JMP |
|---|---|---|
| Pricing model | open-source | subscription |
| Platforms | Web, Self-hosted, Docker | Mac, Windows |
| Category | Spreadsheets | Machine Learning |
| Founded | 1999 | 1976 |
Identical on both: starting price (Free), free tier (Yes), 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 Apache Superset
- 40+ Visualizations
- SQL IDE
- Semantic Layer
- Caching
- Security
- PostgreSQL
- MySQL
- Presto
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.
Apache Superset
- Self-service analyticsnot JMP
- Data explorationnot JMP
- Ad-hoc reportingnot JMP
- Collaborative analysisnot JMP
- Embedded analyticsnot 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 Apache Superset
- Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot Apache Superset
- Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot Apache Superset
- Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot Apache Superset
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Apache Superset
- No commercial pricing; open-source project
- Commercial hosting available via Preset.io (separate vendor)
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
Apache Superset
Free- Open SourceFree
- Full Features
- Self-hosted
- Community Support
JMP
Free- TrialFree
- 30-day trial
- Full features
- JMP$1785/year
- Core JMP
- Standard features
Which should you pick?
Choose Apache Superset if
- You need 40+ visualizations.
- You want to start without paying.
- You work on Web, Self-hosted, Docker.
- You also want sql ide.
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 Apache Superset or JMP better?
- Neither clearly leads. Apache Superset starts at Free and JMP at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Superset or JMP?
- Apache Superset starts at Free and JMP at Free.
- Does Apache Superset or JMP run on more platforms?
- Apache Superset runs on Web, Self-hosted, Docker. JMP runs on Mac, Windows.
- Can I use Apache Superset for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Apache Superset best used for?
- Apache Superset is most often used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis. Of those, self-service analytics and data exploration are not what JMP is typically brought in for.
- What can Apache Superset do that JMP cannot?
- Apache Superset covers 40+ Visualizations, SQL IDE, Semantic Layer, Caching. JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools.
Answered from the vendors’ own pages
Apache Superset: What does Apache Superset cost?
Apache Superset is open-source software available free under the Apache 2.0 license. There are no licensing costs, subscription fees, or per-seat charges for using Superset itself.
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.
Apache Superset: Is there a paid version of Apache Superset?
Apache Superset itself is free and open-source. Preset.io offers commercial Superset hosting with premium support, but this is a separate vendor service, not an official paid tier of Superset.
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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- JMP vs scikit-learn
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