Neo4j Blog

Where did the data come from, originally? That’s a key question that the Fundamental Review of the Trading Book (FRTB) rules will require banks to answer in real-time. Banks must be able to decompose risk models to uncover the full lineage of investment data. Think of it as Ancestry.com for data. In this series on the FRTB, we explore what it takes to create effective internal risk models... Read more →

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 have the GraphConnect 2018 opening keynote, releases of APOC and Graph Algorithms, Certificates with Let’sEncrypt, Graphs4Good, and more Featured Community Member: Lauren Shin This week’s featured community member is Lauren Shin, Student... Read more →

Last night at GraphConnect 2018, we announced the 11 winners of the 2018 Neo4j Graphie Awards at the conference's closing reception. The Graphie Awards celebrate the world’s most innovative graph technology applications, recognizing success in connected data across multiple categories – not only for Neo4j customers but across the entire Neo4j community and ecosystem. Partners,... Read more →

You're reading this because of a napkin. It was the year 2000, and I was on a flight to Mumbai. Peter, Johan and I had been building an enterprise content management system (ECM) but kept running up against the challenge of using an RDBMS for querying connected data. That's when an idea struck. I grabbed a napkin and quickly sketched the first property graph model. Together, we used the... Read more →

Data is everywhere. News, blog posts, emails, videos and chats are just a few examples of the multiple streams of data we encounter on a daily basis. The majority of these streams contain textual data – written language – containing countless facts, observations, perspectives and insights that could make or break your business. Photo source The data, in its native form, is... Read more →

Neo4j is perfect for storing and processing large amounts of connected data. For example, in web analytics, where click-paths and custom events get logged, it is easy to get that data into Neo4j. Once the data is in the graph database, complex queries may be executed that help both site administrators and site owners get a good understanding of how their users and visitors use the website or... Read more →