SAS Advanced Analytics vs JASP

SAS Advanced Analytics9.1Visit JASP9.0Visit

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

vs

JASP #5 in Statistical Analysis Software 9.0/10 Free plan Free plan✓ 4 of 4 features Visit JASP

• SAS Advanced Analytics fits best

  Enterprise predictive modeling and forecasting

• JASP fits best

  Free Bayesian and frequentist analysis

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Side by side

Feature	SAS Advanced Analytics 9.1/10 Visit ↗	JASP 9.0/10 Visit ↗
At a glance
Editor score	9.1	9.0
Ranking	#4 in Statistical Analysis Software	#5 in Statistical Analysis Software
Best for	Enterprise predictive modeling and forecasting	Free Bayesian and frequentist analysis
Pricing model	Paid	Free
Starting price	Pricing on request	Free plan
Free plan	Not checked yet	✓ (best)
Free trial	—	—
Deployment	Cloud, Self-hosted	Desktop
Platforms	Web	Windows, macOS, Linux
Support	Email, Live chat, Phone, Tickets, Community, Docs · 24/7	Email, Community, Docs
Integrations	11 integrations	1 integrations
Built for	Mid-market, Enterprise	Solo, Small business, Mid-market, Enterprise
Features SAS Advanced Analytics 0/4 · JASP 4/4
Statistical tests	Not checked yet	✓ (best)
Regression models	Not checked yet	✓ (best)
Scripting support	Not checked yet	✓ (best)
Bayesian analysis	Not checked yet	✓ (best)
Specs
Deployment	Not checked yet	Desktop
Data import formats	Not checked yet	.csv, .tsv, .txt, .sav, .zsav, .por, .sas7bda, .sas7bcatt, .xpt, .ods, .xls, .xlsx, .dta, .rdata, .rds, .mwx, .mpx
Our review
Pros	Automated time-series generation and large-scale forecasting workflows Model registration, scoring, publishing and monitoring Python, R, REST API and cloud deployment support	Supports both frequentist and Bayesian statistical analyses Covers regression, factor analysis, SEM, and specialized modules Runs on Windows, macOS, and Linux with many import formats
Cons	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	Desktop deployment does not provide a browser-based workflow Its main listed integration is limited to Open Science Framework R syntax support may suit users comfortable with scripting
Our verdict	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 →	JASP is free, open-source desktop software for conducting and teaching statistics. It is designed for researchers, students, and instructors who need both frequentist and Bayesian methods in a graphical environment. Its spreadsheet-style… Read the review →

Strengths and trade-offs

• 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

• JASP — where it wins

  • Supports both frequentist and Bayesian statistical analyses
  • Covers regression, factor analysis, SEM, and specialized modules
  • Runs on Windows, macOS, and Linux with many import formats

  Where it doesn't

  • Desktop deployment does not provide a browser-based workflow
  • Its main listed integration is limited to Open Science Framework
  • R syntax support may suit users comfortable with scripting

• SAS Advanced Analytics9.1/10 · Pricing on request

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

  Visit SASFull verdict →
• JASP9.0/10 · Free plan

  A free desktop statistics package combining drag-and-drop analysis with R-based workflows.

  Visit JASPFull verdict →