SAS Advanced Analytics vs JMP

SAS Advanced Analytics9.1Visit JJMP8.7Visit

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

vs

J JMP #8 in Statistical Analysis Software 8.7/10 30-day trial Free trial✓ 3 of 4 features Visit JMP

• SAS Advanced Analytics fits best

  Enterprise predictive modeling and forecasting

• JMP fits best

  Interactive quality and experimental analysis

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Side by side

Feature	SAS Advanced Analytics 9.1/10 Visit ↗	JJMP 8.7/10 Visit ↗
At a glance
Editor score	9.1	8.7
Ranking	#4 in Statistical Analysis Software	#8 in Statistical Analysis Software
Best for	Enterprise predictive modeling and forecasting	Interactive quality and experimental analysis
Pricing model	Paid	Paid
Starting price	Pricing on request	—
Free plan	Not checked yet	—
Free trial	—	30 days
Deployment	Cloud, Self-hosted	Desktop
Platforms	Web	Windows, macOS
Support	Email, Live chat, Phone, Tickets, Community, Docs · 24/7	Email, Phone, Community, Docs
Integrations	11 integrations	60+ integrations
Built for	Mid-market, Enterprise	Solo, Small business, Mid-market, Enterprise
Features SAS Advanced Analytics 0/4 · JMP 3/4
Statistical tests	Not checked yet	✓ (best)
Regression models	Not checked yet	✓ (best)
Scripting support	Not checked yet	✓ (best)
Bayesian analysis	Not checked yet	Not checked yet
Specs
Deployment	Not checked yet	Desktop
Data import formats	Not checked yet	Excel, text files, PDF, SPSS, SAS data sets, XML, JSON, SQL databases, Google Sheets, HDF5, R, MATLAB, Internet or remote computer, PI Server
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	Interactive visualization, preparation, modeling, and statistical testing Design of experiments, reliability, and quality engineering analysis SAS, MATLAB, R, and Python integrations with scripting support
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	No free plan Desktop deployment limits access to Windows and macOS Annual per-user subscription may not suit occasional analysts
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 →	JMP is desktop statistical analysis software for scientists, engineers, researchers, and organizations. It combines interactive data visualization with data cleaning and preparation, statistical modeling, regression, experimental design,… 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

• JMP — where it wins

  • Interactive visualization, preparation, modeling, and statistical testing
  • Design of experiments, reliability, and quality engineering analysis
  • SAS, MATLAB, R, and Python integrations with scripting support

  Where it doesn't

  • No free plan
  • Desktop deployment limits access to Windows and macOS
  • Annual per-user subscription may not suit occasional analysts

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

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

  Visit SASFull verdict →
• JJMP8.7/10 · 30-day trial

  A mature desktop option for interactive quality and experimental analysis.

  Visit JMPFull verdict →