Neo4j Blog

As Neo4j Graph Data Science approaches year three, we're excited to announce Graph Data Science 2.3, which includes new algorithms, a new graph embedding, and other performance and integration improvements that augment the ease and speed you conduct your analytics. Our goal is to continue... read more

This week's newsletter features tools to make your life easier using graph theory and practical applications. Top of the list is a Neo4j VS Code extension to manage connections to Neo4j instances and run Cypher queries in the IDE. You can switch your active database connection anytime, run read... read more

The use of ERP (enterprise resource planning) among businesses, especially larger ones, is widespread across global locations, handling multiple data types for sectors like finance, customers, suppliers, employees, and products. This results in huge data systems with massive intersections and... read more

Data leaders are currently facing the challenge of not only managing large volumes of data, but also extracting meaningful insights from that data. In many cases, the connections and relationships between data points are more important than the data points themselves. To effectively analyze... read more

Thanks for tuning in to this week's newsletter! Check out Gaston Guitart's article for developers provisioning instances on GCP. This automated deployment system for Neo4j extensions is a workflow consisting of a GCP function and a NodesJS web app. You may also be interested in Eranga... read more

Editor's Note: This presentation was given by Adi Dev Katiyar at GraphSummit Bangalore. During Neo4j’s inaugural GraphSummit, we had the pleasure of hosting partners and customers to share insights and stories behind their connected data experiences. We will be featuring more of them in this... read more