IBM SPSS Statistics vs SAS Advanced Analytics

IBM SPSS Statistics9.2Visit SAS Advanced Analytics9.1Visit

Higher score IBM SPSS Statistics #3 in Statistical Analysis Software 9.2/10 14-day trial Free trial✓ 3 of 4 features Visit IBM SPSS

vs

SAS Advanced Analytics #4 in Statistical Analysis Software 9.1/10 Pricing on request ✓ 0 of 4 features Visit SAS

• IBM SPSS Statistics fits best

  Established all-purpose statistical analysis

• SAS Advanced Analytics fits best

  Enterprise predictive modeling and forecasting

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Side by side

Feature	IBM SPSS Statistics 9.2/10 Visit ↗	SAS Advanced Analytics 9.1/10 Visit ↗
At a glance
Editor score	9.2	9.1
Ranking	#3 in Statistical Analysis Software	#4 in Statistical Analysis Software
Best for	Established all-purpose statistical analysis	Enterprise predictive modeling and forecasting
Pricing model	Paid	Paid
Starting price	—	Pricing on request
Free plan	—	Not checked yet
Free trial	14 days	—
Deployment	Desktop	Cloud, Self-hosted
Platforms	Windows, macOS	Web
Support	Community, Docs	Email, Live chat, Phone, Tickets, Community, Docs · 24/7
Integrations	2 integrations	11 integrations
Built for	Small business, Mid-market, Enterprise	Mid-market, Enterprise
Features IBM SPSS Statistics 3/4 · SAS Advanced Analytics 0/4
Statistical tests	✓ (best)	Not checked yet
Regression models	✓ (best)	Not checked yet
Scripting support	✓ (best)	Not checked yet
Bayesian analysis	Not checked yet	Not checked yet
Specs
Deployment	Desktop	Not checked yet
Data import formats	Not checked yet	Not checked yet
Our review
Pros	Covers testing, regression, forecasting, predictive modeling, and reporting Supports R and Python through APIs, embedded code, and extensions Includes data preparation, missing-value analysis, and custom reporting	Automated time-series generation and large-scale forecasting workflows Model registration, scoring, publishing and monitoring Python, R, REST API and cloud deployment support
Cons	No free plan; subscription pricing starts at $99 per authorized user Advanced capabilities are split across optional feature add-ons Desktop deployment is limited to Windows and macOS	Contact-sales pricing makes budget comparison less direct Broad platform scope may exceed general statistics needs Deployment choices require planning across cloud or self-managed environments
Our verdict	IBM SPSS Statistics is desktop statistical analysis software for organizations, researchers, analysts, and professionals. Its scope spans data preparation, statistical and hypothesis testing, linear, categorical, and nonlinear regression,… Read the review →	SAS Advanced Analytics, presented through the SAS Viya platform, brings together predictive statistical modeling, machine learning, deep learning, forecasting and model management. It is designed for data scientists, statisticians,… Read the review →

Strengths and trade-offs

• IBM SPSS Statistics — where it wins

  • Covers testing, regression, forecasting, predictive modeling, and reporting
  • Supports R and Python through APIs, embedded code, and extensions
  • Includes data preparation, missing-value analysis, and custom reporting

  Where it doesn't

  • No free plan; subscription pricing starts at $99 per authorized user
  • Advanced capabilities are split across optional feature add-ons
  • Desktop deployment is limited to Windows and macOS

• SAS Advanced Analytics — where it wins

  • Automated time-series generation and large-scale forecasting workflows
  • Model registration, scoring, publishing and monitoring
  • Python, R, REST API and cloud deployment support

  Where it doesn't

  • Contact-sales pricing makes budget comparison less direct
  • Broad platform scope may exceed general statistics needs
  • Deployment choices require planning across cloud or self-managed environments

• IBM SPSS Statistics9.2/10 · 14-day trial

  A broad desktop statistics suite with testing, modeling, forecasting, reporting, and R/Python integration.

  Visit IBM SPSSFull verdict →
• SAS Advanced Analytics9.1/10 · Pricing on request

  A broad SAS Viya analytics platform for enterprise modeling, forecasting and model operations.

  Visit SASFull verdict →