G2 Vendor Directory

IBM SPSS Modeler vs. SAS Enterprise Miner

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

MetricIBM SPSS Modeler

by IBM

SAS Enterprise Miner

by SAS Institute

Overall rating4.04.2
Review count148193
Ease of use8.68.0
Ease of setup8.58.0
Quality of support8.38.5
Meets requirements8.68.9
NPS30.4687541.621622
Small Business22.4%14.5%
Mid-Market24.5%27.5%
Enterprise53.1%58.0%
Total page views175158
Total LLM citations638143

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 Enterprise Miner

SAS Enterprise Miner is a comprehensive data mining and predictive analytics software designed to streamline the process of developing descriptive and predictive models. It enables users to analyze vast amounts of data efficiently, uncovering patterns and relationships that inform better decision-making. With an intuitive graphical user interface, SAS Enterprise Miner facilitates the entire data mining process, from data preparation to model assessment, making advanced analytics accessible to both technical and non-technical users.

Pros

  • Ease of Installation
  • Statistical Analysis
  • Ease of Use