Neo4j Blog

Today, graph data science (GDS) is usually applied in business with one or more major aims in mind: better decisions, increased quality of predictions, and creating new ways to innovate and learn. These goals are increasingly tied to tangible benefits, such as reduced financial loss, faster... read more

Editor’s Note: This presentation was given by Michael Porter at NODES 2019 in October 2019. Presentation Summary GRANDstack is a full-stack framework for building applications with GraphQL, React, Apollo and the Neo4j Database. In this talk, Michael Porter, Founder of Muddy Boots Code,... read more

Boy oh boy, are we ready to focus on some of the great things that happened in 2020? Well, the Neo4j Graphies are here just in time! Even though we aren't able to give these awards in person this year, we are just as enthusiastic about shining light on some innovative individuals and... read more

Graph data platform adoption is on the rise. But does this mean that people have to give up their favorite BI tools? The answer is a resounding no. The Neo4j BI Connector delivers direct access to Neo4j graph data from business intelligence (BI) tools such as Tableau, Looker, TIBCO Spotfire... read more

Hi graphistas, This week’s video is from a new series about Spring Data Neo4j by Gerrit Meier. Adam Cowley announced the launch of Charts, we launched the new Neo4j 4.0 certification, and Hantsy concludes the Spring Data Neo4j series by showing how to write custom... read more

"I've been working about 10 years in data visualization engineering and the analytic space. There have been so many occasions when I've thought, 'There should be an easier way of doing this.' It turns out that most of the time those problems were graph problems," said Varun Bhandary, solutions... read more