Hi everyone, My name is Ryan Boyd, and I’m on the Developer Relations team here at Neo4j. I want to talk with you today about our latest release Neo4j 3.4. Overview In Neo4j 3.4 we’ve made improvements across the entire… Read more →

A great graph database use case that is starting to emerge is the use of graph technology as a way to better support the police and other law enforcement officials, which also has applications for other security and investigative use… Read more →

Editor’s Note: This presentation was given by Luanne Misquitta at GraphConnect Europe in May 2017. Presentation Summary In this presentation, Luanne Misquitta shares her facility for engaging with the challenges of human capital management (HCM) in contemporary organizations using graph… Read more →

“Basically, anything you can think of in your infrastructure, whether it’s GitHub, Jenkins, AWS, load balancers, Cisco UCS, vCenter – it’s all in our graph database,” said Ashley Sun, Software Engineer at LendingClub. DevOps at LendingClub is no easy feat:… Read more →

Editor’s Note: This presentation was given by John Swain at GraphConnect San Francisco in October 2016. Summary In this presentation, learn how John Swain of Right Relevance (and Microsoft Azure) set out to analyze Twitter conversations around both Brexit and… Read more →

Editor’s Note: This presentation was given by Jesús Barrasa at GraphConnect San Francisco in October 2016. Presentation Summary Resource Description Framework (RDF) triple stores and labeled property graphs both provide ways to explore and graphically depict connected data. But the… Read more →

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 →

Editor’s Note: This presentation was given by Christophe Willemsen at GraphConnect San Francisco in October 2016. Presentation Summary In this presentation, Christophe Willemsen covers a variety of do-and-don’t tips to help your Cypher queries run faster than ever in Neo4j.… Read more →

In last week’s post, we discussed why designing a fully automated fake news detector is currently infeasible and introduced a semi-automated, graph-based solution which would use machine learning to work alongside human fact checkers to scalably flag and quarantine fake… Read more →

Regardless of your political affiliation or demographic it’s difficult to deny the effects of the recent fake news boom. The Pew Research Center conducted a survey that found that two in three adults in U.S. believe that the upsurge of… Read more →

Editor’s Note: This presentation was given by Aaron Wallace at GraphConnect San Francisco in October 2016. Presentation Summary Modern enterprises need to have a full, 360-view of their customers drive their bottom line. This requires the integration of data from… Read more →

Editor’s Note: This presentation was given by Dippy Aggarwal at GraphConnect San Francisco in October 2016. Presentation Summary Container orchestration for multiple containers across a fleet of machines has the potential to solve issues across the range of scaling, replication,… Read more →

Editor’s Note: This presentation was given by Daniel Himmelstein at GraphConnect San Francisco in October 2016. Summary Himmelstein started his PhD research with the question: How do you teach a computer biology? He found the answer in a heterogenous network… Read more →

“When we first started exploring Neo4j’s native graph database, we saw benefits in how the data was stored because it paralleled real-world connected data,” said Benjamin Nussbaum, Co-Founder at GraphGrid. He and his team realized that the future of data… Read more →

“We knew we couldn’t come to market with the same old solution and be competitive – so we decided to explore a differentiated solution,” said Aaron Wallace, Product Manager at Pitney Bowes. As a software company prepared to enter the… Read more →

Editor’s Note: This presentation was given by Jorge Soto and Antonio Molins at GraphConnect San Francisco in October 2016. Here’s a quick review of what they covered: Introduction to the role of microRNA Monitoring microRNAs Applying the method to stomach… Read more →

“As with any kind of software, the best for the job is one whose function matches your data structures,” said David Brian Ward, CEO and Founder of Telegraph Hill Software. David and his team were searching for a tool that… Read more →

Editor’s Note: This presentation was given by Andrew Chappell at GraphConnect San Francisco in October 2016. Here’s a quick review of what he covered: What is a decoder ring, and why do you need one? The power of hierarchy management… Read more →

Editor’s Note: This presentation was given by David Meza at GraphConnect San Francisco in October 2016. Here’s a quick review of what he covered: What is a knowledge architecture? What are the benefits of a knowledge architecture? The power of… Read more →

Hi everyone. My name is Dr. Jim Webber. I’m Neo4j’s chief scientist, and I’d like to take a few minutes to talk to you about Neo4j’s evolution from an engineering point of view. Our Origin Story: Overcoming Complicated SQL Queries… Read more →

Fraud is becoming increasingly difficult to discover and prevent as fraudsters are increasingly employing complex techniques and advanced technologies to perpetrate fraud. Who Are Today’s Fraudsters? Today, fraudsters are organized in groups, possess synthetic or manufactured identities – which in… Read more →

“Cypher, for us, is really the killer feature of Neo4j,” said Stephan Reiling, Senior Scientist at Novartis Institute for Biomedical Research. The Novartis team recently embarked on a project to bring together huge volumes of disparate biological data, which they… Read more →

Editor’s Note: This presentation was given by Wolfgang Schützelhofer at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: An Introduction to JCypher Domain Mapping Executing domain queries using JCypher The future of JCypher – What… Read more →

“With Neo4j, we’ve been able to take our average processing time from over four minutes to about 13 seconds,” said Scott Grimes, Senior Director of Revenue Management at Marriott International. When Marriott customers search for hotel rooms for certain dates… Read more →

Welcome to this week in Neo4j where we collect the most interesting things that have happened in the world of graph databases over the last 7 days. If you’ve got something that you’d like to see featured in a future… Read more →