Neo4j Graph Data Science vs. SAS Model Manager
A side-by-side comparison based on G2 review data.
| Metric | Neo4j Graph Data Science | SAS Model Manager |
|---|---|---|
| Overall rating | 4.5 | 4.6 |
| Review count | 16 | 70 |
| Ease of use | 8.7 | 8.3 |
| Ease of setup | 8.2 | 7.0 |
| Quality of support | 9.0 | 8.9 |
| Meets requirements | 9.1 | 8.6 |
| NPS | 73.333333 | 78.571429 |
| Small Business | 37.5% | 27.1% |
| Mid-Market | 43.8% | 15.7% |
| Enterprise | 18.8% | 57.1% |
| Total page views | 90 | 91 |
| Total LLM citations | 557 | 220 |
Neo4j Graph Data Science
Neo4j Graph Data Science is a data science and machine learning engine that uses the relationships in your data to improve predictions. It plugs into enterprise data ecosystems so you can get more data science projects into production quickly. Using a catalog of over 65 pretuned graph algorithms, data scientists can explore billions of data points in seconds to identify hidden connections and generate compelling visualizations that lead to better stakeholder decision making.
- Ease of Use
- Model Variety
- Problem Solving
- Machine Learning
- Scalability
- Analytics
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