Neo4j is great 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 ecommerce store.

Metro maps are a very important tool when it comes to illustrating routes of a public transport system. The history of metro maps or, more generally, transport maps, goes back to the famous 'Tube Map' created by Harry Beck in 1931 which shows the London Underground. Nowadays they exist for almost every larger urban area, making it easy for passengers to quickly gain an overview over the possible routes and reachable stations. Simply put, metro maps consist of stations or stops which are connected by lines. So we thought that they are a perfect match for the visualization using our yFiles diagramming library. Our goal was to automatically generate maps from data retrieved online and to polish the results using styles similar to the ones found in official maps. As the computation of a new metro map layout is quite CPU intensive, the goal was not to create maps in real time.

The newest addition to yEd Live lets you explore your diagrams in virtual reality directly in the browser.

The yFiles Neo4j Explorer is a powerful and free online tool to visually explore your Neo4j databases. With the new Node Template Designer, you can easily style the database nodes in an easy-to-use WYSIWYG editor.

Auf dieser Seite stellen wir euch unsere Basketball Bundesliga App “BBL Liga Graph” vor.

This is our first official blog entry, so ‘Welcome’! For years we’ve wanted to start a blog, but never really found the time, nor did we find a topic that we thought was compelling enough to start with.