Machine Learning · head to head
JMP vs Redash

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: 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.; Redash pricing model not disclosed on dedicated pricing page
- They diverge on capability: JMP covers Custom design of experiments, Redash covers SQL Query Editor.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which JMP and Redash actually diverge.
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 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 Redash
- SQL Query Editor
- Multiple Data Sources
- Visualizations
- Dashboards
- Alerts
- PostgreSQL
- MySQL
- BigQuery
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 Redash
- Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot Redash
- Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot Redash
- Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot Redash
Redash
- Data visualization and business intelligence for analyticsnot JMP
- Query result sharing and collaborative dashboard creationnot 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.
Redash
- Pricing model not disclosed on dedicated pricing page
- Open-source offering may require self-hosting technical expertise
- Managed hosting or commercial support pricing not published
Pricing, plan by plan
JMP
Free- TrialFree
- 30-day trial
- Full features
- JMP$1785/year
- Core JMP
- Standard features
Redash
Free- Open SourceFree
- Full Features
- Self-hosted
- Community Support
- Cloud$49/month
- Managed Hosting
- Automatic Updates
- 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.
Choose Redash if
- You need sql query editor.
- You want to start without paying.
- You work on Web, Self-hosted, Cloud.
- You also want multiple data sources.
Questions people ask
- Is JMP or Redash better?
- Neither clearly leads. JMP starts at Free and Redash at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, JMP or Redash?
- JMP starts at Free and Redash at Free.
- Does JMP or Redash run on more platforms?
- JMP runs on Mac, Windows. Redash runs on Web, Self-hosted, Cloud.
- Can I use JMP for free?
- Both have a free tier, so you can try either at no cost before committing.
- 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 Redash is typically brought in for.
- What can JMP do that Redash cannot?
- JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools. Redash covers SQL Query Editor, Multiple Data Sources, Visualizations, Dashboards.
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.
Redash: What is Redash's pricing?
Redash is a popular open-source project with no pricing tiers listed on the pricing page. The project emphasizes no vendor lock-in and community contribution. Paid managed hosting or commercial support options may be available but are not published on this page.
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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- Redash vs Apache Superset
- Redash vs Fibery
- Redash vs Baserow
- Redash vs NocoDB
- Redash vs Budibase
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