Featured Post

Neo4j Achieves AWS Data and Analytics Competency Status

Today’s forward-looking organizations, as well as the analyst spectrum, have long validated Neo4j as the world’s leading graph data platform – specifically because it is trusted by leading global brands, validated with a host of successful and repeatable use cases across industries and... read more


DXC Career Navigator: Data Driven Employee Career Development and Engagement

Editor's Note: This presentation was given by Michele Howard at GraphSummit 2022. During Neo4j's inaugural GraphSummit, we had the pleasure of hosting partners and customers to share insights and stories of their connected data journeys. We will be featuring more of them in this series of... read more


This Week in Neo4j: RDF, SPARQL, Pathfinder Algorithms, Graph Data Science, Predictive Analytics, and More

In this week's featured article, Agustin Martinez presents a comprehensive overview of RDF (Resource Description Framework) and LPG (Labeled Property Graph) models. He describes the various elements that exist in both models, and reviews the languages used to model, ingest, query, and validate... read more


Road to NODES Workshop Series: Oct 19 – Nov 2

Brush up your skills before NODES, our graph technology conference on Nov 16 and 17. The Road to NODES series of preparatory workshops will help you get the most out of the event. The workshops are presented by industry experts with a variety of backgrounds, so whether you are interested in... read more


Combating Disease Using Graphs: The 5-Minute Interview With Henrik Enquist

“As a beginner starting to use Neo4j for the first time, I would say just go with it, try it, play with a movie example data set, and just get familiar with it. It's really quite logical once you figure out the first few steps,” says Henrik Enquist, Advanced IT Developer at Novo... read more


Loading Data into Neo4j With Google Cloud Dataflow

Today’s enterprises don’t just need to manage larger volumes of data – they need to generate insight from their existing data. In cases such as product recommendation in retail, fraud detection in FSI, and identity management in gaming, the relationships between data points can matter more... read more