Graph Algorithms in Neo4j: The Rise of Graph Analytics

According to Gartner’s 2018 Magic Quadrant for Data Management Solutions, the biggest reason for using the Neo4j graph database “is to drive innovation.” This blog series is designed to help organizations better leverage graph analytics to effectively innovate and develop… Read more →

Keywords:  


5 Noteworthy Use Cases of Graph Technology and Graph Analytics

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… Read more →

Keywords:  


Graph Algorithms in Neo4j: The Power of Graph Analytics

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… Read more →

Keywords:  


Graph Databases for Beginners: Graph Search Algorithm Basics

When Muhammad ibn Musa al-Khwarizmi wasn’t busy shelving books, collecting overdue fines and shushing children (we can only presume) in the library at the House of Wisdom, he was also keeping up a few other side projects: inventing algebra, popularizing… Read more →

Keywords:  


Graph Databases for Beginners: Graph Theory & Predictive Modeling

There’s a common one-liner, “I hate math…but I love counting money.” Except for total and complete nerds, a lot of people didn’t like mathematics while growing up. In fact, of all school subjects, it’s the most consistently derided in pop… Read more →

Keywords:  


Graph Databases for Beginners: Why Graph Technology Is the Future

The world of graph technology has changed (and is still changing), so we’re rebooting our “Graph Databases for Beginners” series to reflect what’s new in the world of graph tech – while also helping newcomers catch up to speed with… Read more →

Keywords:  


Graph Algorithms in Neo4j: How Connections Drive Discoveries

Graph algorithms are the powerhouse behind the analysis of real-world networks — from identifying fraud rings and optimizing the location of public services to evaluating the strength of a group and predicting the spread of disease or ideas. In this… Read more →

Keywords:  


This Week in Neo4j – JavaScript CRUD Apps, Personalised Recommendation Engines, Graph Theory Tutorial

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’ve got real time food and event recommendation engines, a JavaScript OGM, a Neo4j… Read more →

Keywords:  


The Top 13 Resources for Understanding Graph Theory & Algorithms

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… Read more →

Keywords:  


The 5-Minute Interview: Cindee Madison, Data Engineer at Gallium Artistic Services

“Using artificial intelligence, we’re creating what you could call a social network of the mind,” says Cindee Madison, Data Engineer at Gallium Artistic Services. With tools such as IBM Watson — which provides the technology that allows robots to check… Read more →

Keywords:  


RDBMS & Graphs: Graph Basics for the Relational Developer

We already know that relational databases aren’t always enough for handling the volume, velocity and variety of today’s data, but what’s the clear alternative? There are a lot of other database options out there – including a number of NoSQL… Read more →

Keywords:  


A New Way of Looking at “Moving Relationships” in Neo4j [Community Post]

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Introduction A graph database is not only a simple way to store connected data, it is… Read more →

Keywords:  


The Key to Understanding Big Data Lies with the Graph

Article originally posted to Wired.com by Emil Eifrem. Dr. Roy Marsten wrote in March that Graph Theory was a key approach in understanding and leveraging big data. As a advocate of graph theory and as a developer building graph databases… Read more →

Keywords:  


Subscribe

Have a Graph Question?

Stack Overflow
Community Forums
Contact Us

Share your Graph Story?

Email us: content@neo4j.com

Archives