InfoQ Homepage Neo4j Content on InfoQ
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Choosing Kubernetes: Managing Risk in Cloud Infrastructure
Ben Butler-Cole talks about Neo4j’s use of Kubernetes as a foundation for their stateful service: why they chose it and how they handled the risks associated with that choice.
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Causal Consistency for Large Neo4j Clusters
Jim Webber explores the new Causal clustering architecture for Neo4j, how it allows users to read writes straightforwardly, explaining why this is difficult to achieve in distributed systems.
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Using Clojure and Neo4j to Build a Meetup Recommendation Engine
Mark Needham shows how a meetup recommendation engine using Neo4j and Clojure can be built from scratch, combining content-based and collaborative filtering using Cypher and Clojure.
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Node4J: Running Node.js in a JavaWorld
Ian Bull introduces Node4J and explores the performance characteristics and highlights the tools that help one develop, debug and deploy Node.JS applications running directly on the JVM.
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Real-Time Fraud Detection with Graphs
Jim Webber talks about several kinds of fraud common in financial services and how each decomposes into a straightforward graph use-case. He explores them using Neo4j and Cypher query language.
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Working with Databases & Groovy
Paul King reviews the features in Groovy which make it easy to work with databases - Groovy SQL, datasets -, and working with NoSQL databases such as MongoDB and Neo4J.
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Modeling Complex Game Economy with Neo4j
Yan Cui shares lessons learned using Neo4j to model the in-game economy of the "Here Be Monsters" game and automate the balancing process.
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Using a Graph Database for JVM Heap Analysis
James Richardson, Nat Pryce discuss some of the challenges faced using Neo4J for interactive analysis of large data imports (80K nodes, 150k relationships) and how they overcame them.
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Artistic Spring Data Neo4j 3.x with Spring Boot and Van Gogh
Michael Hunger and Lorenzo Speranzoni show how easy it is to get started with Spring Data Neo4j using Spring Boot.
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Graph Search: The Power of Connected Data
Ian Robinson takes a look at how size, structure and connectedness have converged to change the way we work with data, showing some new opportunities with connected data illustrated with graph search.
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How Shutl Delivers Even Faster Using Neo4J
Volker Pacher, Sam Phillips present key differences between relational databases and graph databases, and how they use the later to model a complex domain and to gain insights into their data.
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Let Me Graph That For You
Ian Robinson discusses graphs data structures, some of the queries that can extract data from them, and tools and techniques to work with graph data.
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