Just in time for the Neo4j 3.4.0 release, we also pushed out two versions of APOC – 3.3.0.3 and 3.4.0.1. You can download them from GitHub, Maven or most conveniently with a single click in Neo4j Desktop. Please note that… Read more →

Graph analytics have value only if you have the skills to use them and if they can quickly provide the insights you need. Therefore, the best graph algorithms are easy to use, fast to execute and produce powerful results. Neo4j… 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 →

To analyze the billions of relationships in your connected data, you need efficiency and high performance, as well as powerful analytical tools that address a wide variety of graph problems. Fortunately, graph algorithms are up to the challenge. In this… Read more →

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Understanding large graphs is challenging. Sure, a proper Cypher query can retrieve valuable information. But how… Read more →

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 →

It’s no secret that Russian operatives used Twitter and other social media platforms in attempt to influence the most recent U.S. presidential election cycle with fake news. The question most people aren’t asking is: How did they do it? More… Read more →

The last release of APOC library was just before GraphConnect New York, and in the meantime quite a lot of new features made their way into our little standard library. We also crossed 500 GitHub stars, thanks everyone for giving… Read more →

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] It is widely known that Neo4j is able to load and write RDF. Until now, RDF… Read more →

I recently had the opportunity to combine work and pleasure and meet with Dr. Aaron Clauset, an expert on network science, data science and complex systems. In 2016, Clauset won the Erdos-Renyi Prize in Network Science but you might be… Read more →

As a retailer, if you think keeping up with Amazon is expensive and time-consuming, consider the alternative: extinction. When it comes to delivery and fulfillment, Amazon is the uncontested emperor of ecommerce. Yet, their efficiency in tracking and delivering orders… Read more →

Summary Data profiling is a widely used methodology in the relational database world to analyse the structure, contents and metadata of a data source. Generally, data profiling consists a series of jobs executed upon the data source to collect statistics… Read more →

This spring, Neo4j is coming to a city near you to deliver a full day of sessions on how graph database technology is revolutionising the modern enterprise. The GraphTour Basics This one-day local event will turn you into a graph… Read more →

Early this morning (1 Dec.), the Pulitzer Prize-winning International Consortium for Investigative Journalists (ICIJ) released an ICIJ version of Neo4j Desktop which includes the Paradise Papers and the other Offshore Leaks graph data. This desktop package – available for Windows,… Read more →

This post originally appeared on Emil Eifrem’s CEO blog on 1 December 2017. Graph technology has come a long way, and today the transformative nature of graphs is publicly visible through examples such as financial fraud detection in Panama and… Read more →

Our friends from the ICIJ (International Consortium of Investigative Journalists) just announced the Paradise Papers this past week, a new trove of leaked documents from the law firm Appleby and trust company Asiaciti. Similar to the Panama Papers before (which… Read more →

As part of the Neo4j Graph Platform announced at GraphConnect New York last week, we are excited to announce the general availability release of the Neo4j Graph Database version 3.3. At the heart of the Graph Platform is the native… Read more →

Today at GraphConnect New York, Neo4j has announced our transformation from the provider of a graph database into the creator of a graph platform. We are making this change to address the evolving needs of customers in their deployment of… Read more →

The longtime promise of dramatically accelerated computing has arrived on IBM Power Systems servers and the great news is that Neo4j benefits tremendously! I’m sure many people have heard of using GPUs as selected application accelerators. The “what’s new” is… Read more →

This is the first demo I developed with Neo4j. The objective of the demo is to open the discussion about graph databases, Neo4j, big data, analytics and IBM Power Systems with our global customers. I decided to use Twitter as… Read more →

The success of many enterprises greatly depends on their ability to gather useful information and process it in a timely manner. Automation is essential and so is presentation, giving tangible feedback, to decision makers. This is where technology reaches out… Read more →

You already have all the reasons you should attend GraphConnect New York, and now you know who the must-see presenters will be, but now it’s time for the best reason to attend: The bottom-to-top agenda of all the keynotes, presentations… Read more →

It’s almost here, folks. GraphConnect New York is just around the corner, and we’re likely to see you in NYC in just two weeks! Of course, some of you still haven’t bought your tickets to the conference yet, so head… Read more →

Often invisible to the people outside of the field, life science researchers have been quietly embracing graph databases instead of the traditional triple and relational stores. On June 21, we invited a group of life science and healthcare researchers and… 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 →