Neo4j Blog

When discussions about any technological concept begin to trend in online media and among business stakeholders, it is only natural to wonder whether it is all hype or whether the technology actually solves any real business problems. Gartner’s well-publicized hype cycle attempts to provide a guideline on the path that most technologies follow, and when it comes to graph technology, you... Read more →

According to Gartner, "graph analysis is possibly the single most effective competitive differentiator for organizations pursuing data-driven operations and decisions.” Why did Gartner say this? Because graphs are the best structure for today's complex and ever changing data, and if you can analyze them at scale and uncover key patterns and trends, you will uncover numerous opportunities... 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. This week we have Hierarchical community detection using Louvain and a Case Law Network Graph. We also learn how to creating a schema.org linked data endpoint on Neo4j, do Authorization in the GRANDstack, learn taxonomies from user tagged data, and... Read more →

We use Neo4j to design our next-generation Power chips, said Chuck Calio, Offering Manager IBM PowerAI at IBM. The future of graph technology is in AI, but it’s not the only use case. From designing hardware (naturally a graph) to dynamic pricing, IBM’s Chuck Calio sees use cases for graphs as myriad and the demand from customers strong. In this week's five-minute interview... Read more →

Do you think there is no space for a graph database in your company? Or it would be a huge effort to integrate a graph database into your product? I have to tell you: You can use a graph database like Neo4j without touching your product, and you can use it for managing your company’s knowledge as well as to improve your software development process. So, even if your business problem is not... Read more →

Editor’s Note: This presentation was given by Dom Davis at GraphConnect Europe in May 2017. Presentation Summary Graphs really are everywhere, and building your graph database model from the highest possible vantage point using natural language – and the language specific to your domain – helps you develop a model that truly stands the test of time. Full Presentation:... Read more →