G2 Vendor Directory

@RISK vs. IBM SPSS Modeler

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

Metric@RISK

by Lumivero

IBM SPSS Modeler

by IBM

Overall rating4.24.0
Review count11148
Ease of use8.68.6
Ease of setup9.38.5
Quality of support7.98.3
Meets requirements8.68.6
NPS45.45454530.46875
Small Business18.2%22.4%
Mid-Market63.6%24.5%
Enterprise18.2%53.1%
Total page views353175
Total LLM citations2,007638

@RISK

Probabilistic Risk Analysis in Excel From the financial to the scientific, anyone who faces uncertainty in their quantitative analyses can benefit from @RISK. @RISK integrates directly into Microsoft Excel and employs Monte Carlo simulation to map out all possible scenarios and the probability they will occur – taking the guesswork out of big decisions. With @RISK, you can calculate the chances of making money on your next venture, staying within budget, and more to plan strategies with confidence. Buy now or request a free trial to start uncovering new opportunities.

Pros

    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