G2 Vendor Directory

IBM SPSS Modeler vs. SAS Visual Statistics

A side-by-side comparison based on G2 review data.

MetricIBM SPSS Modeler

by IBM

SAS Visual Statistics

by SAS Institute

Overall rating4.04.4
Review count14825
Ease of use8.68.7
Ease of setup8.58.3
Quality of support8.39.0
Meets requirements8.68.8
NPS30.4687562.5
Small Business22.4%32.0%
Mid-Market24.5%16.0%
Enterprise53.1%52.0%
Total page views17580
Total LLM citations6384

IBM SPSS Modeler

The IBM SPSS Modeler is a leading, visual data science and machine learning solution. It helps enterprises accelerate time to value and desired outcome by speeding the operational tasks for data scientists. Leading organizations worldwide rely on IBM for data discovery, predictive analytics, model management and deployment, and machine learning to monetize data assets. The IBM SPSS Modeler empowers organizations to tap data assets and modern applications with complete, out-of-box algorithms and models, suited for hybrid, multi-cloud environments with robust governance and security posture.

Pros

  • Fast Processing
  • Data Visualization
  • Machine Learning
  • Ease of Use
  • Integrated Platform
  • Analytics

SAS Visual Statistics

Multiple users can explore data, then interactively create and refine predictive models. Distributed, in-memory processing slashes model development time, quickly surfacing valuable insights you can act on.

Pros

  • Ease of Use
  • Machine Learning
  • Analytics
  • Customer Support
  • Reporting
  • Scalability