This Week in Neo4j – Live Streaming Graphs

For many, livestreaming equals video games on Twitch, but there is so much more going on than just Let’s Plays. This week is filled with a few episodes from our great community so you can watch graph projects being created in front of your eyes. Check them out below!

In addition to the great efforts contributed by the community, we have launched a few regular livestreams ourselves: Going Meta, Neo4j + PHP, Discover Neo4j AuraDB Free, or Neo4j Live, where we feature interesting projects from the graph community. If you are interested in showcasing your graph project, please reach out to me.

Andreas & Alexander

P.S. Currently we have opened the Call for Papers for GraphConnect 2022 and encourage you all to submit – no matter what graph topic is currently top of your mind, we want to hear from you!

This week’s featured community member is Cathereine Luse.

Cathereine Luse - This Week’s Featured Community Member

Cathereine Luse – This Week’s Featured Community Member

Whether its writing code or prose, Catherine exhibits a great open source ethos for contributing to a better world of software, from helping Rancher users run Kubernetes everywhere to improving the Neo4j GraphQL documentation.

Thanks for your contributions, Catherine!

Build Neo4j Applications With Node.js

Learn with Jason

Learn with Jason is a regular stream on Twitch where you can learn something new in 90 minutes. In the latest episode he invited Adam Cowley to teach us when and how you should use a graph database.

In Conversation With Emil Eifrem, Co-Founder and CEO, Neo4j

Emil Eifrem

Matt Turck interviews Emil Eifrem, Co-Founder and CEO of Neo4j, to hear about the major progress the company has experienced over the last few years. In the conversation, they talk about Neo4j and how the term “graph database” was coined by Emil. They dive into neural networks and graph data science, as well as go-to-market strategies and, of course, the cloud.

Building & Exploring a Music Knowledge Graph


The team around Hume from GraphAware realized that creating a database of their music tastes would be interesting and fun. Having enriched it from different data sources, their data science engineers were able to open almost limitless possibilities for analysis. As a result of the experiment, they built an interesting knowledge graph that can be an exciting experiment for exploring the capabilities of Hume.

Medical Subject Headings Into Neo4j

Knowledge Graph

Tom Nijhof decided in order to make a knowledge graph it is useful to have a vocabulary in place – an ontological. The Medical Subject Headings is one such an ontological, which includes many of the medical terms that are currently being used. In his blog article he reveals how it is done.

Testcontainers Live: Neo4j With Gerrit Meier


Oleg Selajev talks to Gerrit Meier in this stream about how storing data in a graph database give us the advantage of not only having a nice visualization but also fast query times when it comes to traversing relationships. You will learn how you can import the data yourself, create a Spring Data Neo4j application on top, and issue more advanced queries to find information in the graph.

Tweet of the Week

My favorite tweet this week was by Jim Salmons:

Don’t forget to RT if you liked it too!