Neo4j Blog

Are you wondering how you can get started with graph data science (GDS)? In this blog post, we're going to give you 10 project tips and some resources to guide you from the beginning of your graph data science project to its production. As opposed to technical details, here we’ll help you... read more

You may have heard that graph database technology underpins the latest in machine learning and AI. But what are graph data platforms and why are they rapidly becoming the first choice for application development? Can a shift in database technology really make a big difference? In this first... read more

Hi graphistas, Welcome to the last version of TWIN4j for 2020. We’ll be taking a couple of weeks off over Christmas and the New Year, so we’ll see you again in 2021! Until then we need your help! Our Developer Survey 2020 is waiting for your answers. Please... read more

"The question isn't whether graph databases would become mainstream or not, but rather, why have they not been mainstream until now?" said Calum Chalmers, Senior Data Scientist with Capgemini's Insights and Data Practice in the UK. In this week's five-minute interview, Julia Astashkina, Partner... read more

Editor’s Note: This presentation was given by Mark Needham and Amy Hodler at NODES 2019 in October 2019. Presentation Summary Our names are Mark Needham and Amy Hodler. Mark works on the Neo4j Labs team, which is a team that helps Neo4j integrate with different technologies and explores... read more

It is common amongst solution vendors to take new technologies and extend their existing financial services solutions with them. Often, these new technologies do not or only partially close existing functionality gaps. Financial institutions are still required to patch these gaps through... read more