Neo4j Blog

This blog post was originally published on Medium by Michael Hunger and is used with permission. Graphcool released it’s GraphQL command-line tools two days ago, so I thought it would be nice to see how well they work, especially with our Neo4j GraphQL backend. And here’s the good news :... read more

Editor's Note: This presentation was given by John Swain at GraphConnect San Francisco in October 2016. Summary In this presentation, learn how John Swain of Right Relevance (and Microsoft Azure) set out to analyze Twitter conversations around both Brexit and the 2016 U.S. Presidential... read more

Customer expectations are rising at a time when customer service is a significant differentiator within the financial services industry. Customers expect companies to deliver personalized service – i.e., an end-to-end customer experience – that reflects an understanding of who they are,... read more

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. Featured Community Member: Michelle Sanver This week’s featured community member is Michelle Sanver, Software Developer at Liip. Michelle... read more

This blog post was originally published on Medium by Michael Hunger and is used with permission. Creating a Neo4j graph database (and more) based on Game of Thrones (and A Song of Ice and Fire) data. As season 7 is progressing, interest around Game of Thrones data is flaring up again. There... read more

Recently we announced the availability of some super efficient graph algorithms for Neo4j. In case you missed the announcement, we now have an easy-to-use library of graph algorithms that are tuned to make full use of compute resources. As part of assisting with this ongoing project, I needed to... read more