Quick answer
JMP (from SAS Institute) excels at interactive visual data exploration and design of experiments; Statistica covers DOE and visualisation too, and adds no-code data mining and machine learning, server deployment for the whole institution and Czech localisation with local support. JMP is a great fit for engineers used to its dynamic graphs; Statistica for organisations that want one platform from the lab to the server.
JMP is a tool for visual, interactive statistics popular in engineering and science. Statistica offers comparable statistics and DOE plus predictive modelling, process monitoring and enterprise deployment.
Comparison by criteria
| Comparison | Statistica | JMP |
|---|---|---|
| No-code use (GUI) | yes graphical environment, wizards, no coding | yes interactive graphical environment |
| Core and advanced statistics | yes 17,000+ analytical functions | yes standard and advanced statistics |
| No-code data mining and machine learning | yes Modeler edition: neural networks, trees, boosting, no code | partly advanced modelling in JMP Pro |
| SPC, quality control and DOE | yes Analyst edition: SPC, process capability, DOE | yes strength: DOE and visual analysis |
| Scripting and extensions | yes R, Python and C# inside Statistica | yes JSL scripting language; Python and R integration |
| Server / enterprise deployment | yes Comprehensive edition: server, monitoring, automation | partly sharing via JMP Live |
| Licence model | named-user subscription | subscription (SAS Institute) |
| Czech localisation and EU support | yes full Czech localisation, CZ/EN support, EU partner | partly localisation and support via vendor and partners |
| Academic licences | yes university program, Ultimate Academic edition | yes academic licences |
| Free trial | yes 30 days, full version, no credit card | yes trial per vendor |
Indicative comparison based on publicly available vendor information. Third-party features and licence terms change — verify them with the vendor. Updated: September 2026.
When to choose Statistica
- You need machine learning and data mining in the base licence, not in an upgrade
- You want server deployment, monitoring and analysis automation for the whole institution
- You value full Czech localisation and a partner who helps with implementation
- You need one environment from research through quality to predictive models
When to choose JMP
- Your team lives on interactive visual exploration and the dynamic graphs of JMP
- Design of experiments is your main agenda and you are used to the JMP DOE platform
Switching from JMP to Statistica
Move data from JMP via CSV or Excel (JMP exports them directly); analyses including DOE have ready-made dialogs and wizards in Statistica. Visualisations are interactive in Statistica too and can be combined with Spotfire.
FAQ
- Does Statistica have design of experiments (DOE)?
- Yes — experiment planning, power analysis and related procedures are part of the Analyst edition.
- What about interactive graphs?
- Statistica offers interactive 2D and 3D graphs; for dashboards over the same data there is Spotfire Industry Pro.
- Do I need a higher edition for machine learning?
- Data mining and machine learning are in the Modeler edition — no separate "Pro" product.
See for yourself on your own data
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