Neo4j Blog

Financial fraud is growing and it is a costly problem, McKinsey, the fastest-growing type of first-party fraud is synthetic identity fraud. In synthetic identity fraud, the fraudster usually combines fake and real information to establish a credit record under a new, synthetic identity. This type... read more

Hi graph gang, In this week’s video, Lju shows how to de-duplicate ingredients in the BBC goodfood dataset. Rik Van Bruggen starts a COVID-19 Contact Tracing Graph blog series, I build a SARS-Cov-2 taxonomy graph, and Martin Preusse tells us all about the Covid Graph Knowledge... read more

Welcome to this week's #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, our Editor-in-Chief, Bryce Merkl Sasaki, broke down unlimited scalability with Neo4j 4.0, including vertical and horizontal scalability as well as database... read more

Within a growing organization, finding the right information can take up a good part of your day. As teams and people become more spread out, both geographically and organizationally, knowledge becomes exponentially harder to find. In addition, when you’re busy, doing work often gets... read more

Over the last year, we developed a new version of Spring Data Neo4j here at Neo4j, and we are proud to announce its general availability: Spring Data Neo4j RX 1.0 (or short SDN/RX). Spring All the Way Spring Data Neo4j RX is not dependent on any Object Graph Mapper library, but brings all... read more

A pandemic proliferates through a network of connections. Fighting against a spreading pandemic is a massive, comprehensive issue that affects health, supply chain and food systems, as well as many other economic structures. Graphs are perfectly suited for handling connected data, from... read more