SAS alternatives

3 tools to consider instead of SAS, shown against it.

SAS IBM SPSS Statistics Stata R
Vendor SAS Institute Inc. IBM StataCorp LLC The R Foundation
Pricing model Quote only Subscription Subscription Open source + paid options
Free tier No No No Yes
Deployment Cloud, Self-hosted Self-hosted Self-hosted Self-hosted
Open source No No No Yes (GPL-2.0-or-later)
Best for Regulated enterprises (pharma, banking, government) that need validated, auditable statistical analysis at scale. Academic researchers and market-research analysts who need guided hypothesis testing without writing code. Economists, epidemiologists, and social scientists who need reproducible, command-driven statistical analysis. Statisticians, academic researchers, and analytics engineers doing custom statistical modeling and visualization.
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.

Per-authorized-user subscription (monthly, quarterly, or annual) with a base package plus separately priced add-on modules; perpetual and campus licenses also sold.

Base Starting at $99.00 USD per authorized user
Custom Tables & Advanced Statistics Starting at $79.00 USD per authorized user
Forecasting & Decision Trees Starting at $79.00 USD per authorized user
Complex Sampling & Testing Starting at $79.00 USD per authorized user

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Single-user annual or perpetual license by edition (BE/SE/MP); multi-user network and volume licenses priced by quote.

Stata/MP (annual, download) $995.00/year

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Free and open source; no paid tiers for the language itself. Commercial support and hosted environments are sold separately by third parties (e.g. Posit).

Pricing has not been verified yet — see the vendor's site.

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
  • Descriptive statistics and hypothesis testing (t-tests, ANOVA)
  • Regression and advanced statistical modeling
  • Forecasting and decision trees
  • Complex sample survey analysis
  • Command syntax for reproducible analysis
  • Data preparation, weighting, and bootstrapping
  • Custom tables and reporting output
  • Built-in library of regression and panel-data estimators
  • Survival and time-series analysis
  • Complex survey design and weighting
  • Do-file scripting for reproducible analysis
  • Mata matrix programming language
  • Publication-quality graphics
  • Extensible via user-written commands (SSC archive)
  • Extensive statistical modeling functions (linear/generalized/mixed models)
  • CRAN package ecosystem with 20,000+ packages
  • ggplot2 grammar-of-graphics visualization
  • R Markdown/Quarto for reproducible reports
  • Vectorized data manipulation (base R and tidyverse)
  • Shiny for interactive statistical web apps
  • Interfaces to C/C++/Fortran for performance-critical code

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