SAS Model Manager vs. Databricks
A side-by-side comparison based on G2 review data.
| Metric | SAS Model Manager | Databricks |
|---|---|---|
| Overall rating | 4.6 | 4.6 |
| Review count | 70 | 1,388 |
| Ease of use | 8.3 | 8.9 |
| Ease of setup | 7.0 | 8.7 |
| Quality of support | 8.9 | 8.9 |
| Meets requirements | 8.6 | 9.1 |
| NPS | 78.571429 | 77.851361 |
| Small Business | 27.1% | 15.1% |
| Mid-Market | 15.7% | 37.6% |
| Enterprise | 57.1% | 47.2% |
| Total page views | 91 | 16,340 |
| Total LLM citations | 220 | 14,031 |
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
Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
- Features
- Ease of Use
- Integrations
- Collaboration
- Analytics
- Easy Integrations