Statistical software · SAS Institute Inc.

SAS

Enterprise statistical analysis and advanced-analytics platform used for validated statistics, data mining, and reporting in regulated industries.

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SAS is a long-established statistical and advanced-analytics platform built around its own procedural SAS language and, in its modern SAS Viya architecture, cloud-native APIs callable from Python and R. It covers statistics (SAS/STAT), data management, forecasting, and machine learning in one governed environment, with the auditability and validation documentation that regulated industries such as pharma, banking, and government require. It can be deployed on-premises (traditional SAS 9) or as a cloud service (SAS Viya on AWS, Azure, or SAS Cloud). Compared with open-source alternatives like R or Python's statsmodels, SAS trades cost and openness for vendor support, long-term stability, and compliance guarantees. Pricing is not published; it is negotiated per customer based on modules, capacity, and deployment.

At a glance

Vendor SAS Institute Inc.
Pricing model Quote only
Free tier No
Deployment Cloud, Self-hosted
Open source No
Best for Regulated enterprises (pharma, banking, government) that need validated, auditable statistical analysis at scale.

Pricing

No published price list; SAS quotes each deal based on modules, users, and deployment (on-prem, cloud, or marketplace pay-as-you-go).

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

Features

  • SAS/STAT library of statistical procedures
  • SAS Viya cloud-native analytics engine with Python/R APIs
  • Predictive modeling and machine learning
  • Data management, ETL, and governance tooling
  • Regulatory-grade validation and audit documentation
  • Enterprise reporting and business intelligence
  • Role-based access control and model governance

Integrations

Profile last reviewed September 21, 2026

Head to head

Alternatives

IBM SPSS Statistics Menu-driven desktop statistics package for hypothesis testing, survey analysis, and predictive modeling, widely used in social-science research. Stata Command-driven statistical software for regression, panel-data, and survey analysis, widely used in economics, epidemiology, and political science. R Open-source programming language and environment for statistical computing and graphics, the default language of applied statistics education.

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Terms to know

Regression analysis A statistical method for estimating the relationship between one outcome variable and one or more predictor variables. Statistical significance A threshold judgment that an observed effect is unlikely to be due to chance alone, given the data and test used. P-value The probability of observing data at least as extreme as the result, if the null hypothesis were actually true. Predictive analytics Analytics that uses historical data and statistical models to estimate what is likely to happen next. Business intelligence (BI) The practice of turning company data into dashboards, reports and metrics that guide business decisions. Role-based access control (RBAC) Granting data or system permissions based on a user's assigned role rather than configuring access for each person individually.

Related guides

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