Neo4j Blog

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series is designed to help you better... read more

Welcome to this week's #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last week, our Managing Editor, Jocelyn Hoppa, highlighted a two-part series of how Neo4j and machine learning help human fact-checkers detect fake news. It's a great... read more

Welcome to This Week in Neo4j, where we round up the last week in the world of graph databases. This week our Chief Scientist Dr Jim Webber describes how to run Neo4j in a Multi Data Center Environment, Max De Marzi shows us how to find the shortest path on a rail network, and Stefan... read more

The community vote by Apache Spark contributors has just closed – and the results are positive. Thank you to everyone who participated when we asked for your votes and feedback. As part of the preparations for a forthcoming Apache Spark 3.0 release, the Spark development community... read more

Join us and the global Neo4j community on April 15, 2019 to celebrate the birth of the inventor of graph theory, Leonhard Euler!. Help us lead this day of celebration, collaboration and advocacy around the topic of graph-thinking and those who have accelerated thought leadership in this space.... read more

Editor’s Note: This presentation was given by Ashley Sun at GraphConnect NYC in October 2017. Presentation Summary LendingClub runs 400+ microservices that comprise its online marketplace lending platform, the largest in America. Every one of these services has been developed, tested and... read more