R vs SAS/STAT

R9.4Visit SSSAS/STAT8.8Visit

Higher score R #1 in Statistical Analysis Software 9.4/10 Free plan Free plan✓ 3 of 4 features Visit R

vs

SS SAS/STAT #7 in Statistical Analysis Software 8.8/10 Pricing on request ✓ 3 of 4 features Visit SAS

• R fits best

  Broad, extensible statistical computing

• SAS/STAT fits best

  Organizations needing deep SAS statistical procedures

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Side by side

Feature	R 9.4/10 Visit ↗	SSSAS/STAT 8.8/10 Visit ↗
At a glance
Editor score	9.4	8.8
Ranking	#1 in Statistical Analysis Software	#7 in Statistical Analysis Software
Best for	Broad, extensible statistical computing	Organizations needing deep SAS statistical procedures
Pricing model	Free	Paid
Starting price	Free plan	Pricing on request
Free plan	✓ (best)	Not checked yet
Free trial	—	—
Built for	Solo, Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features R 3/4 · SAS/STAT 3/4
Statistical tests	✓	✓
Regression models	✓	✓
Scripting support	✓ (best)	Not checked yet
Bayesian analysis	Not checked yet	✓ (best)
Specs
Deployment	Desktop	Both
Data import formats	text files, XML, spreadsheet-like files, Excel, SPSS, SAS, Stata, databases, binary files, image files	Not checked yet
Our review
Pros	Free and open source across Windows, macOS, and Linux Covers tests, modeling, time series, classification, and clustering Imports databases, spreadsheets, statistical files, images, and other formats	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
Cons	Requires programmable scripting for core workflows Specialized methods may depend on contributed packages Desktop deployment may not suit browser-first teams	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
Our verdict	R is an open-source programming language and software environment for statistical computing, data manipulation, modeling, visualization, and graphics. It is designed for researchers, statisticians, analysts, educators, and developers who… Read the review →	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 →

Strengths and trade-offs

• R — where it wins

  • Free and open source across Windows, macOS, and Linux
  • Covers tests, modeling, time series, classification, and clustering
  • Imports databases, spreadsheets, statistical files, images, and other formats

  Where it doesn't

  • Requires programmable scripting for core workflows
  • Specialized methods may depend on contributed packages
  • Desktop deployment may not suit browser-first teams

• 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

• R9.4/10 · Free plan

  A free, programmable environment for statistical analysis, modeling, visualization, and data import.

  Visit RFull verdict →
• SSSAS/STAT8.8/10 · Pricing on request

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

  Visit SASFull verdict →