G2 Vendor Directory

IBM SPSS Modeler vs. Amazon Quick

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

MetricIBM SPSS Modeler

by IBM

Amazon Quick

by Amazon Web Services (AWS)

Overall rating4.04.3
Review count148698
Ease of use8.68.7
Ease of setup8.58.6
Quality of support8.38.6
Meets requirements8.68.5
NPS30.4687549.631811
Small Business22.4%39.9%
Mid-Market24.5%36.5%
Enterprise53.1%23.6%
Total page views1751,332
Total LLM citations638376

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

Amazon Quick

Amazon QuickSight is a cloud-based unified business intelligence (BI) service at hyperscale. With QuickSight, all users can meet varying analytic needs from the same source of truth through modern interactive dashboards, paginated reports, natural language queries and embedded analytics. With Amazon Q in QuickSight, business analysts and business users can use natural language to build, discover, and share meaningful insights in seconds, turning insights into impact faster. Over 100,000 customers use Amazon QuickSight. Learn more at https://quicksight.aws

Pros

  • Integrations
  • Ease of Use
  • Easy Integrations
  • Data Visualization
  • Dashboard Management
  • Scalability