Machine Learning & Data Science · head to head
IBM SPSS vs JMP
IBM SPSS
Machine Learning & Data Science
Statistical analysis software for data science
- From
- Free
- Rated
- -
JMP
Machine Learning & Data Science
Statistical discovery software from SAS
- From
- Free
- Rated
- -
The short version
- Each has a real cost: IBM SPSS add-on packages are priced separately from the base subscription, and the promotional 45% discount on them excludes renewals; JMP the Internet Archive's capture of JMP's homepage on 13 January 2020 named five distinct editions, JMP, JMP Live, JMP Pro, JMP Clinical, and JMP Genomics, each targeting a different analysis use case, with no price figure published for any.
- They diverge on capability: IBM SPSS covers Statistical analysis, JMP covers Interactive statistics.
Where they differ
Only the attributes on which IBM SPSS and JMP actually diverge.
Identical on both: starting price (Free), pricing model (subscription), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).
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 IBM SPSS
- Statistical analysis
- Data visualization
- Survey analysis
- Decision trees
- SQL databases
- Linux support
Only in JMP
- Interactive statistics
- Dynamic visualization
- Design of experiments
- Quality control
- SAS
- MATLAB
Both cover
- Predictive modeling
- Python
- R
- Excel
- Mac support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
IBM SPSS
- Statistical testing and regression analysis for academic and market researchnot JMP
- Predictive modelling and forecasting without writing codenot JMP
JMP
- Machine learningnot IBM SPSS
- Data analysisnot IBM SPSS
- Model trainingnot IBM SPSS
- Predictive analyticsnot IBM SPSS
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
IBM SPSS
- Add-on packages are priced separately from the base subscription, and the promotional 45% discount on them excludes renewals
- Subscription cost renews at the then current price at the end of the first year, so the advertised rate applies to the first term only
- Prices shown are described by IBM as indicative, vary by country and exclude applicable taxes and duties
- Extended access periods of 12 months or more are handled as tailored pricing rather than a published rate
- Advanced statistics, custom tables, decision trees and forecasting are separate add-ons rather than part of the base product
JMP
- The Internet Archive's capture of JMP's homepage on 13 January 2020 named five distinct editions, JMP, JMP Live, JMP Pro, JMP Clinical, and JMP Genomics, each targeting a different analysis use case, with no price figure published for any.
Pricing, plan by plan
IBM SPSS
Free- TrialFree
- 14-day trial
- Full features
- Base$99/month
- Core statistics
- Data management
JMP
Free- TrialFree
- 30-day trial
- Full features
- JMP$1785/year
- Core JMP
- Standard features
Which should you pick?
Choose IBM SPSS if
- You need statistical analysis.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want data visualization.
Choose JMP if
- You need interactive statistics.
- You want to start without paying.
- You work on Mac, Windows.
- You also want dynamic visualization.
Questions people ask
- Is IBM SPSS or JMP better?
- Neither clearly leads. IBM SPSS 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, IBM SPSS or JMP?
- IBM SPSS starts at Free and JMP at Free.
- Does IBM SPSS or JMP run on more platforms?
- IBM SPSS runs on Linux, Mac, Windows. JMP runs on Mac, Windows.
- Can I use IBM SPSS for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is IBM SPSS best used for?
- IBM SPSS is most often used for statistical testing and regression analysis for academic and market research, predictive modelling and forecasting without writing code. Of those, statistical testing and regression analysis for academic and market research and predictive modelling and forecasting without writing code are not what JMP is typically brought in for.
- What can IBM SPSS do that JMP cannot?
- IBM SPSS covers Statistical analysis, Data visualization, Survey analysis, Decision trees. JMP covers Interactive statistics, Dynamic visualization, Design of experiments, Quality control. Both handle Predictive modeling, Python, R, Excel.