SAS Model Manager vs SAS
Side-by-side comparison · Updated April 2026
| Description | SAS Model Manager helps operationalize analytics by streamlining the model management lifecycle from creation to deployment. It has seamless integration capabilities with the SAS Viya platform and supports a wide range of uses, from fraud detection to customer experience optimization. With its robust suite of tools and features, SAS Model Manager enables efficient scoring, monitoring, and retraining of models across various deployment environments, thus ensuring consistency and compliance. | SAS Visual Data Mining and Machine Learning is an advanced software solution designed to bring the power of data mining and machine learning to enterprises. The platform offers a robust set of tools for data preparation, feature engineering, and model comparison to maximize predictive accuracy. Its visual interface allows users to efficiently explore and transform raw data into actionable insights, making it accessible to both data scientists and business analysts. With capabilities for managing large datasets, automating complex processes, and improving model governance, this software transforms how companies leverage their data for competitive advantage. Perfectly suited for various industries, it supports high-scale, reliable, and user-friendly analytics. |
| 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 | SAS Model Manageranalyticsmodel managementdeploymentSAS Viya | data miningmachine learningdata preparationfeature engineeringmodel comparison |
| Features | ||
| Model scoring | ||
| Monitoring and retraining | ||
| Seamless integration with SAS Viya | ||
| Support for AI and machine learning models | ||
| Compliance and governance | ||
| Flexible deployment options | ||
| Robust analytics workflow management | ||
| Industry-specific analytics support | ||
| Real-time model performance tracking | ||
| Comprehensive user resources | ||
| Data Preparation | ||
| Feature Engineering | ||
| Model Comparison | ||
| Large Dataset Management | ||
| Process Automation | ||
| Enhanced Model Governance | ||
| User-Friendly Visual Interface | ||
| Industry-Specific Solutions | ||
| High-Scale Analytics | ||
| Predictive Modeling | ||
| View SAS Model Manager | View SAS | |