Neo4j Blog

Editor’s Note: This presentation was given by Adam Cowley at GraphConnect Europe in May 2017. Presentation Summary Adam Cowley wanted to create a door-to-door journey-planning tool with Cypher that would allow him to accurately map a trip via train, bus, or both. He relied on open-source data from the UK government to compile both the locations and schedules of train and bus routes, data... Read more →

At a fundamental level, a native graph platform is required to make it easy to express relationships across many types of data elements. To succeed with connected data applications, you need to traverse these connections at speed, regardless of how many hops your query takes. This blog series is designed to help you better leverage graph analytics so you can effectively innovate and develop... Read more →

Welcome to This Week in Neo4j where I share the most interesting things I found in our community over the last seven days. This week we had an exciting presentation by Andrew Jefferson about Deep Learning on Graphs as part of the online meetup. There’s also good news for Azure users - David Allen has done a major overhaul of our offerings in the marketplace. We’re also... Read more →

Graph technology refers to the storage, management and querying of data graphical representation. Here, your indices become vertices and your relationships are converted into edges. Through analysis of the fine-grained relationships, by using graph analysis, you can find out oddities with the help of algorithms and queries. A primary advantage of graph databases is that they are indexed... Read more →

TL;DR: Starting with Neo4j 3.5, Enterprise Edition source code will no longer be published to the open source commons, including future versions. This does not impact Neo4j Community Edition. We will continue to deliver the world’s best and most comprehensive graph database as open source. This does not affect customers, partners, OEMs or Neo4j Desktop users. Code contributions from... Read more →

Editor’s Note: This presentation was given by Syed Haniff at GraphConnect Europe in May 2017. Presentation Summary UBS bank was relying on a data distribution model that was no longer serving its internal consumers, largely because it required its users to manually join returned data to glean any data insights. The data services team knew it had to create a platform that was simple,... Read more →