IBM SPSS Modeler vs Qlik AutoML
Side-by-side comparison · Updated April 2026
| Description | IBM SPSS Modeler is a premier visual data science and machine learning solution tailored for enterprises. It assists in expediting operational tasks for data scientists, encompassing data preparation, predictive analytics, model management, and deployment. The platform allows for seamless work on the IBM Cloud Pak for Data, facilitating a hybrid approach across any cloud or on premises. Additionally, the tool supports open-source innovations and is designed for data scientists of varying expertise. | Qlik AutoML empowers analytics teams by integrating advanced machine learning capabilities directly into their workflows. This tool allows users to automate model creation, training, and deployment without requiring deep programming knowledge. With intuitive interfaces and robust support for diverse data sources, Qlik AutoML simplifies the process of deriving actionable insights from complex data sets. It is designed to enhance productivity and decision-making by providing accessible AI/ML solutions tailored to business needs. |
| Category | Data Management | Machine Learning |
| Rating | No reviews | No reviews |
| Pricing | N/A | N/A |
| Starting Price | N/A | N/A |
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| Tags | data sciencemachine learningpredictive analyticsdata preparationmodel management | AutoMLanalyticsmachine learningdataAI |
| Features | ||
| Data preparation and discovery | ||
| Predictive analytics | ||
| Model management and deployment | ||
| Open-source support (R/Python) | ||
| Hybrid cloud and on premises support | ||
| Seamless integration with IBM Cloud Pak for Data | ||
| User-friendly drag-and-drop interface | ||
| Support for data scientists of all skill levels | ||
| Scalability from small projects to enterprise-wide applications | ||
| New features in SPSS Modeler v18.5 | ||
| Automated model creation | ||
| Intuitive user interface | ||
| Support for diverse data sources | ||
| Seamless integration with existing workflows | ||
| No programming knowledge required | ||
| Comprehensive support and resources | ||
| Improves decision-making | ||
| Advanced machine learning capabilities | ||
| Enhances productivity | ||
| Tailored AI/ML solutions for business needs | ||
| View IBM SPSS Modeler | View Qlik AutoML | |