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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 3.0 release, the Spark development community has just completed a positive vote for a Spark Project Improvement Proposal (SPIP) to add property... Read more →
Learn all about the vote to include Cypher queries and graph algorithms in Apache Spark 3.0
 

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 is designed to help you better utilize graph analytics and graph algorithms so you can effectively innovate and develop... Read more →

Learn about the Strongly Connected Components graph algorithm.

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#GraphCast: You Know We Have an Online Meetup, Right? [Also, Salmon]

Welcome to this week's #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last week, our Managing Editor, Jocelyn Hoppa, highlighted a two-part series of how Neo4j and machine learning help human fact-checkers detect fake news. It's a great series and really uncovers how difficult it can be for humans alone to detect fake news and stop it in... Read more →

Catch this week's GraphCast: The Neo4j Online Meetup presents the International Salmon Data Laboratory (ISDL)

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This Week in Neo4j – Time Based Graph Versioning, Pearson Coefficient, Neo4j Multi DC, Modeling Provenance

Welcome to This Week in Neo4j, where we round up the last week in the world of graph databases. This week our Chief Scientist Dr Jim Webber describes how to run Neo4j in a Multi Data Center Environment, Max De Marzi shows us how to find the shortest path on a rail network, and Stefan Bieliauskas shows us why graphs are a perfect fit for modeling data provenance Featured Community... 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 3.0 release, the Spark development community has just completed a positive vote for a Spark Project Improvement Proposal (SPIP) to add property... Read more →

Learn all about the vote to include Cypher queries and graph algorithms in Apache Spark 3.0

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Host an Event (Big or Small) with Us for Global Graph Celebration Day

We’re inviting our global community to join us on April 15, 2019 to celebrate the birth of the inventor of graph theory! On this day, we invite all our Neo4j community members around the globe in help us lead this day of celebration, collaboration and advocacy around the topic of graph-thinking and those who have accelerated thought leadership in this space. Sign up to participate at the... Read more →

Learn how to host a Global Graph Celebration Day event with Neo4j.

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The Fabric of DevOps: Using Neo4j to Manage Site Infrastructure

Editor’s Note: This presentation was given by Ashley Sun at GraphConnect NYC in October 2017. Presentation Summary LendingClub runs 400+ microservices that comprise its online marketplace lending platform, the largest in America. Every one of these services has been developed, tested and deployed without drama. How? Their DevOps team uses Neo4j to manage infrastructure and operate the... Read more →

Watch Ashley Sun's presentation on how to use Neo4j to manage site infrastructure.

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