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R vs SAS Visual Statistics

R

r-project.org

SAS Visual Statistics

sas.com

Side by side

FigureRSAS Visual Statistics
Price fromFree—
Free planYes—
Free trial—Yes
Open source——
Web—Yes
WindowsYes—
macOSYes—
Self-hosted—Yes
Plans published11
Spec score · Statistical Analysis Software8.8 (#7)8.2 (#27)
Data import formatstext files, XML, spreadsheet-like files, Excel, SPSS, SAS, Stata, databases, binary files, image filesSAS data sets, Excel (XLS/XLSX), delimited text files, CSV, DTA, JMP, Parquet, SPSS
DeploymentdesktopSAS Viya supports cloud, hybrid and on-premises deployment environments.
Founded19901976
HeadquartersVienna, AustriaCary, North Carolina, USA
Regression modelsYesYes
Scripting supportYesYes
Statistical testsYesYes

Plans

R

  • RFree

R pricing →

SAS Visual Statistics

  • SAS Visual StatisticsPriced on request

SAS Visual Statistics pricing →

In their own words

R

R is a free software environment for statistical computing, with graphics, statistical tests, regression models, and scripting support. It runs on Windows and macOS, as well as a wide range of UNIX platforms. Its import options cover text, XML, spreadsheet-like files, Excel, SPSS, SAS, and Stata, along with databases, binary files, and image files. Downloads are provided through preferred CRAN mirrors, and the project offers FAQs about installation and licensing. Documentation resources include manuals, journals, books, and certification links; community resources include mailing lists and developer pages. Questions about the software are directed to the Getting Help section. The listed current release is R 4.6.1, named Happy Hop, released June 24, 2026; version 4.5.3 is described as a wrap-up release. R was founded in 1990, and its maker is listed as R, headquartered in Vienna, Austria.

Visit r-project.org

SAS Visual Statistics

SAS Visual Statistics is a statistical visualization and modeling product on SAS Viya. It supports analysis from raw data toward strategic action, with visual model building, variable adjustment, and outlier removal; users can see how those changes affect outcomes. Multiple users can collaborate on the same data model, and the environment supports Python, R, or SAS. Listed techniques include clustering, decision trees, linear and logistic regression, generalized linear and additive models, and nonparametric logistic regression.

Imports include SAS data sets, Excel, delimited text, CSV, DTA, JMP, Parquet, and SPSS. Programmers can access the Viya CAS server through SAS Studio, PROC CAS, Python, R, Lua, Java, and public REST APIs. Native Python Pandas DataFrame integration supports sending DataFrames to CAS and retrieving results for use with packages such as Pandas, matplotlib, Plotly, and Bokeh. SAS Cloud Analytic Services processes data in memory and distributes work across cluster nodes. The product is cloud-deployed, paid, and priced on request; no free plan is listed, but a free trial is available.

Visit sas.com