Neo4j Bloom 1.1: Simple, Powerful & Team Ready [Release]

Discover what’s new in the 1.1 release of the Neo4j Bloom graph data visualization tool, including internet browser capabilities and new role-based security.

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NODES 2019: Launching the Neo4j Online Developer Expo & Summit!

Discover what’s in store for Neo4j’s first-ever online summit built just for developers, engineers, data scientists and graphistas from around the globe.

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Ingesting Data into Neo4j for Master Data Management

Discover how StreamSets uses the power of the Neo4j graph database for data integration and master data management.

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The Seven Bridges of Königsberg: A Dog’s Eye View

Follow Armstrong as he pathfinds his way through North London, with the help of graph algorithms, discovering new routes to cover more territory.

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Check Out the Newly Revamped Neo4j Administration Online Training Course

Read this blog to learn details about the recent overhaul we gave to the free Neo4j Administrative online training course. Enroll today.

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Real-Time Data Lineage at UBS

Editor’s Note: This presentation was given by Wren Chan and Sidharth Goyal at GraphConnect New York in October 2017. Presentation Summary UBS set out to create a real-time data lineage tool in response to the new BCBS 239 regulations, which… Read more →

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Graph Algorithms in Neo4j: Graph Algorithms in Practice

Graph analytics have value only if you have the skills to use them and if they can quickly deliver the insights you need. This blog provides a hands-on example using Neo4j on data from Yelp’s Annual Dataset challenge. Graph algorithms… Read more →

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Applying Graphs to Enterprise Media Asset Management

Editor’s Note: This presentation was given by Brant Boehmann and Chris Goodacre at GraphConnect New York in October 2017. Presentation Summary Scripps Networks Interactive is a leading developer of engaging lifestyle content in the home, food and travel categories for… Read more →

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Graph Algorithms in Neo4j: Triangle Count & Clustering Coefficient

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →

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Exploring Inherent Connections: 5-Minute Interview with Dr. Alexander Jarasch

“When I saw Neo4j the first time, I was overwhelmed by how easy it is to connect different types of data,” said Dr. Alexander Jarasch, Head of Data and Knowledge Management at the German Center for Diabetes Research. Diabetes is… Read more →

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The Future of Data Visualization

Editor’s Note: This presentation was given by Brendan Madden at GraphConnect New York in October 2017. Presentation Summary Tom Sawyer Software is a graph data visualization tool that was founded long before graph databases first hit the market. But with… Read more →

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Graph Algorithms in Neo4j: Louvain Modularity

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →

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Neo4j Joins GraphQL Foundation as a Founding Member

Neo4j is excited to share that we have joined the GraphQL Foundation as one of the founding members to support the evolution of GraphQL as it continues to become a standard for building APIs. You can learn more about the… Read more →

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Graph V-Day (Graph Visualization Day) Recap

In light of February’s holiday of love (Valentine’s Day), we asked our community to share the graph visualizations they loved the most. Valentine’s Day became Graph Visualization Day! The response was incredible and the data visualizations were truly remarkable, and… Read more →

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Graph Algorithms in Neo4j: Label Propagation

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →

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Check Out the Newly Revamped Intro to Neo4j Online Training Course

In less than a day, you could become a graphista. Because we believe that graph databases are the future of backend software development, we wanted to make it easier and simpler than ever to get started on your graph journey.… Read more →

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Graph Algorithms in Neo4j: Weakly Connected Components

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →

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Simplifying Identity Management: 5-Minute Interview with Alex Babeanu

“We’ve tried using LDAP. We’ve tried using SQL databases. It’s just a nightmare to be honest,” said Alex Babeanu, Identity Solutions Architect at Nulli. With smartphones, online services, smart devices, the number of identities that must be managed is exploding,… Read more →

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Vampire Express: Graphing a Classic ’80s Choose Your Own Adventure Story

Here at Neo4j, we have a motto: Graphs Are Everywhere. This blog series was inspired by all the times I encountered graphs and “graph problems” in my non-working life. Hopefully these posts help you see more graphs in the world.… Read more →

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Graph Algorithms in Neo4j: Strongly Connected Components

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →

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Apache Spark Developers Have Voted to Include Cypher in Spark 3.0 [Update]

The community vote by Apache Spark contributors has just closed – and the results are positive. Thank you to everyone who participated when we asked for your votes and feedback. As part of the preparations for a forthcoming Apache Spark… Read more →

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Graph Algorithms in Neo4j: Closeness Centrality

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →

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Graph Algorithms in Neo4j: Betweenness Centrality

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →

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Agile Open Source Intelligence: 5-Minute Interview with Frederick Kagan

“One thing that a relational database isn’t, is relational ,” said Frederick Kagan, Director of the Critical Threats Project at the American Enterprise Institute. All intelligence organizations are interested in seeing data connections and traversing networks. The Critical Threats Project… Read more →

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Large-Scale Real-Time Recommendations with Neo4j

Editor’s Note: This presentation was given by Tim Hanssen at GraphConnect 2018 in New York City. Presentation Summary Prepr is a multi-channel engagement platform that streamlines content workflows and powers valuable audience interactions. They were using the MySQL relational database… Read more →

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