Neo4j Blog

This week Jake Graham and Alicia Frame explain How Graph Technology is changing AI, David Allen shows us how to use the ELK stack to analyse Neo4j logs and metrics, and there’s a new release of the Halin monitoring and management tool. We also have slides from talks at KubeCon and Spring IO, as well as slides and a blog post about Neo4j Streams, the Neo4j Kafka... Read more →

I just returned from Venice, where enjoyed not only the weather and food but …​ Had an amazing time in Venice, Italy to celebrate the 15th anniversary of our friends and partners from @AgileLARUS. Thanks a lot @inserpio for the invite. Enjoyed presenting on graph algorithms and with @santand84 on the @Neo4j @apachekafka integrationhttps://t.co/BGtSVPC6Th pic.twitter.com/WrfdQ12Z35—... Read more →

As a graphista, I can often be found evangelising the power of the Neo4j graph database to anyone who’ll listen. Recently, I tried to explain graph databases to my pal Armstrong. The conversation went something like this: “You see, Armstrong, graph theory started in 1736. There was this chap named Leonhard Euler, and he was trying to solve the Seven Bridges of Königsberg problem.... Read more →

Editor’s Note: This presentation was given by Jessica Dembe and Patrick Elder at GraphConnect New York in October 2017. Presentation Summary In this presentation, Jessica Dembe and Patrick Elder provide a look into enterprise architecture at Blackstone Federal and how the introduction of Neo4j automated formerly inefficient processes for the United States Department of Homeland Security... Read more →

The use cases for a graph database in government are endless. Graphs are versatile and dynamic. They are the key to solving the challenges you face in fulfilling your mission. Using real-world government use cases, this blog series explains how graphs solve a broad range of complex problems that can’t be solved in any other way. Last week we focused on a case study using Neo4j at IQT,... Read more →

This week Igor Rozani taught us about the pokémon universe in a fun online meetup, Andrea Santurbano showed how easy it is to produce and consume Kafka data streams in Cypher, and Tomaz Bratanic explored the Depth First Search algorithm. Elsewhere Jennifer Reif dived into the world of data import and asked why you’d use Kettle for data import, and I went extremely meta in... Read more →