G2 Vendor Directory

Neo4j Graph Data Science vs. GoLearn

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

MetricNeo4j Graph Data Science

by Neo4j

GoLearn

by GoLearn

Overall rating4.54.3
Review count1621
Ease of use8.79.2
Ease of setup8.29.4
Quality of support9.09.0
Meets requirements9.19.0
NPS73.33333352.380952
Small Business37.5%42.9%
Mid-Market43.8%38.1%
Enterprise18.8%19.0%
Total page views90259
Total LLM citations557190

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

GoLearn

GoLearn is a 'batteries included' machine learning library for Go that implements the scikit-learn interface of Fit/Predict, to easily swap out estimators for trial and error it includes helper functions for data, like cross validation, and train and test splitting.

Pros

  • Ease of Use
  • Intuitive
  • Navigation Ease
  • Interface Clarity
  • Flexibility
  • Participant Engagement