IBM SPSS Modeler vs. Qlik Predict
A side-by-side comparison based on G2 review data.
| Metric | IBM SPSS Modeler | Qlik Predict |
|---|---|---|
| Overall rating | 4.0 | 4.4 |
| Review count | 148 | 81 |
| Ease of use | 8.6 | 9.1 |
| Ease of setup | 8.5 | 9.2 |
| Quality of support | 8.3 | 8.9 |
| Meets requirements | 8.6 | 8.7 |
| NPS | 30.46875 | 52.564103 |
| Small Business | 22.4% | 31.3% |
| Mid-Market | 24.5% | 30.0% |
| Enterprise | 53.1% | 38.8% |
| Total page views | 175 | 107 |
| Total LLM citations | 638 | 258 |
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.
- Fast Processing
- Data Visualization
- Machine Learning
- Ease of Use
- Integrated Platform
- Analytics
Qlik Predict
Qlik AutoML (automated machine learning) brings AI-generated machine learning models and predictive analytics directly to your organization’s larger community of analytics users and teams, in a simple user experience focused on augmenting their intuition through machine intelligence. With AutoML, you can easily generate machine learning models, make predictions, and plan decisions – all within an intuitive, code-free user interface.
- Automation
- Ease of Use
- Machine Learning
- AI Integration
- Intuitive
- AI Capabilities