SAS Model Manager vs. Encord
A side-by-side comparison based on G2 review data.
| Metric | SAS Model Manager | Encord |
|---|---|---|
| Overall rating | 4.6 | 4.8 |
| Review count | 70 | 65 |
| Ease of use | 8.3 | 9.6 |
| Ease of setup | 7.0 | 8.6 |
| Quality of support | 8.9 | 9.9 |
| Meets requirements | 8.6 | 9.4 |
| NPS | 78.571429 | 90.769231 |
| Small Business | 27.1% | 51.6% |
| Mid-Market | 15.7% | 40.6% |
| Enterprise | 57.1% | 7.8% |
| Total page views | 91 | 933 |
| Total LLM citations | 220 | 6,626 |
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
Encord
Encord is the universal data layer for AI. The platform helps AI teams train and run their models with the right data - managing, curating, annotating, and aligning data across the full AI lifecycle. Encord works with over 300 leading AI teams, including Woven by Toyota, Zipline, AXA, and Flock Safety. Confidentially build production AI with rich multimodal data. Encord is SOC 2, AICPA SOC, HIPAA, and GDPR compliant.
- Customer Support
- Annotation Tools
- Features
- Annotation Efficiency
- Efficiency
- Collaboration