SAS Model Manager vs. Cloudera
A side-by-side comparison based on G2 review data.
| Metric | SAS Model Manager | Cloudera |
|---|---|---|
| Overall rating | 4.6 | 4.2 |
| Review count | 70 | 205 |
| Ease of use | 8.3 | 8.6 |
| Ease of setup | 7.0 | 8.4 |
| Quality of support | 8.9 | 8.4 |
| Meets requirements | 8.6 | 8.9 |
| NPS | 78.571429 | 45.641026 |
| Small Business | 27.1% | 34.3% |
| Mid-Market | 15.7% | 27.5% |
| Enterprise | 57.1% | 38.2% |
| Total page views | 91 | 964 |
| Total LLM citations | 220 | 1,693 |
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
Cloudera
Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights.
- Ease of Use
- Scalability
- Security
- Features
- Performance
- Data Management