SAS Model Manager vs. DVC
A side-by-side comparison based on G2 review data.
| Metric | SAS Model Manager | DVC |
|---|---|---|
| Overall rating | 4.6 | 4.7 |
| Review count | 70 | 11 |
| Ease of use | 8.3 | 7.3 |
| Ease of setup | 7.0 | 7.1 |
| Quality of support | 8.9 | 7.7 |
| Meets requirements | 8.6 | 9.0 |
| NPS | 78.571429 | 90.909091 |
| Small Business | 27.1% | 27.3% |
| Mid-Market | 15.7% | 54.5% |
| Enterprise | 57.1% | 18.2% |
| Total page views | 91 | 64 |
| Total LLM citations | 220 | 165 |
SAS Model Manager
SAS® Model Manager is a web-based application that enables organizations to register, modify, track, score, publish, and report on analytical models. Organizations can store models within folders or projects, develop and validate candidate models, and assess candidate models for champion model selection. They can then publish and monitor champion models. All model development and model maintenance personnel, including data modelers, validation testers, scoring officers, and analysts can use SAS Model Manager.
- Model Variety
- Model Management
- Analytics
- Problem Solving
- Machine Learning
- Time-Saving
DVC
DVC is an open-source, Git-based data science tool. Apply version control to machine learning development, make your repo the backbone of your project, and instill best practices across your team. Find more info at: https://dvc.org DVC has introduced a new open source tool for AI Data Analytics and Actionable GenAI Insights, that can curate vast amounts of unstructured data.