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Head-to-head · Statistical Analysis Software

SAS/STAT vs JMP

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score SAS/STAT #7 in Statistical Analysis Software 8.8/10 Pricing on request ✓ 3 of 4 features Visit SAS
JMP #8 in Statistical Analysis Software 8.7/10 30-day trial Free trial✓ 3 of 4 features Visit JMP

SAS/STAT leads on 0 checks, JMP on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreSAS/STAT · 8.8/10
  • Free trialonly JMP

SAS/STAT scores higher on our rubric for statistical analysis software: 8.8 against 8.7 out of 10; our editors rank them #7 and #8.

On deployment, SAS/STAT gives you Both where JMP offers Desktop.

SAS/STAT is the better fit for organizations needing deep SAS statistical procedures. JMP is the better fit for interactive quality and experimental analysis.

  • SAS/STAT fits best

    Organizations needing deep SAS statistical procedures

  • JMP fits best

    Interactive quality and experimental analysis

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Side by side

Feature SAS/STAT 8.8/10 Visit ↗ JMP 8.7/10 Visit ↗
At a glance
Editor score 8.8 8.7
Ranking #7 in Statistical Analysis Software #8 in Statistical Analysis Software
Best for Organizations needing deep SAS statistical procedures Interactive quality and experimental analysis
Pricing model Paid Paid
Starting price Pricing on request —
Free plan Not checked yet —
Free trial — 30 days
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features SAS/STAT 3/4 · JMP 3/4
Statistical tests ✓ ✓
Regression models ✓ ✓
Scripting support Not checked yet ✓ (best)
Bayesian analysis ✓ (best) Not checked yet
Specs
Deployment Both Desktop
Data import formats Not checked yet Excel, text files, PDF, SPSS, SAS data sets, XML, JSON, SQL databases, Google Sheets, HDF5, R, MATLAB, Internet or remote computer, PI Server
Our review
Pros
  • Covers ANOVA, regression, Bayesian, survival and missing-data methods
  • Includes predictive modeling, categorical analysis and customizable charts
  • Supports statistical work across small datasets and large-scale modeling
  • Interactive visualization, preparation, modeling, and statistical testing
  • Design of experiments, reliability, and quality engineering analysis
  • SAS, MATLAB, R, and Python integrations with scripting support
Cons
  • Pricing requires a sales conversation instead of a posted rate
  • Broad procedure coverage may exceed the needs of simple analyses
  • Proprietary licensing does not support open-source distribution models
  • No free plan
  • Desktop deployment limits access to Windows and macOS
  • Annual per-user subscription may not suit occasional analysts
Our verdict

SAS/STAT is statistical analysis software for researchers, analysts and organizations that need a broad set of formal procedures. Its scope spans analysis of variance, linear models, regression, Bayesian inference, categorical data,…

Read the review →

JMP is desktop statistical analysis software for scientists, engineers, researchers, and organizations. It combines interactive data visualization with data cleaning and preparation, statistical modeling, regression, experimental design,…

Read the review →
  1. SAS/STATStatistical Analysis Software 8.8Pricing on request
  2. JMPStatistical Analysis Software 8.730-day trial

Strengths and trade-offs

  • SAS/STAT — where it wins

    • Covers ANOVA, regression, Bayesian, survival and missing-data methods
    • Includes predictive modeling, categorical analysis and customizable charts
    • Supports statistical work across small datasets and large-scale modeling

    Where it doesn't

    • Pricing requires a sales conversation instead of a posted rate
    • Broad procedure coverage may exceed the needs of simple analyses
    • Proprietary licensing does not support open-source distribution models
  • JMP — where it wins

    • Interactive visualization, preparation, modeling, and statistical testing
    • Design of experiments, reliability, and quality engineering analysis
    • SAS, MATLAB, R, and Python integrations with scripting support

    Where it doesn't

    • No free plan
    • Desktop deployment limits access to Windows and macOS
    • Annual per-user subscription may not suit occasional analysts
  • SAS/STAT8.8/10 · Pricing on request

    A broad SAS toolkit for organizations that need advanced statistical procedures.

    Visit SASFull verdict →
  • JMP8.7/10 · 30-day trial

    A mature desktop option for interactive quality and experimental analysis.

    Visit JMPFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update