SAS Model Manager vs. Labelbox
A side-by-side comparison based on G2 review data.
| Metric | SAS Model Manager | Labelbox |
|---|---|---|
| Overall rating | 4.6 | 4.5 |
| Review count | 70 | 48 |
| Ease of use | 8.3 | 9.1 |
| Ease of setup | 7.0 | 9.1 |
| Quality of support | 8.9 | 9.1 |
| Meets requirements | 8.6 | 9.1 |
| NPS | 78.571429 | 66.666667 |
| Small Business | 27.1% | 45.8% |
| Mid-Market | 15.7% | 37.5% |
| Enterprise | 57.1% | 16.7% |
| Total page views | 91 | 682 |
| Total LLM citations | 220 | 9,701 |
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
Labelbox
Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products with custom or foundation models, or using AI to automate data tasks or find business insights, Labelbox enables teams to do so effectively and quickly. The platform is used by Fortune 500 enterprises such as Walmart, P&G, Genentech, and Adobe, and hundreds of leading AI teams.
- Ease of Use
- Efficiency
- Data Labeling
- Easy Integrations
- Features
- AI Capabilities