G2 Vendor Directory

Neo4j Graph Data Science vs. SAS Model Manager

A side-by-side comparison based on G2 review data.

MetricNeo4j Graph Data Science

by Neo4j

SAS Model Manager

by SAS Institute

Overall rating4.54.6
Review count1670
Ease of use8.78.3
Ease of setup8.27.0
Quality of support9.08.9
Meets requirements9.18.6
NPS73.33333378.571429
Small Business37.5%27.1%
Mid-Market43.8%15.7%
Enterprise18.8%57.1%
Total page views9091
Total LLM citations557220

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.

Pros

  • 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.

Pros

  • Model Variety
  • Model Management
  • Analytics
  • Problem Solving
  • Machine Learning
  • Time-Saving