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From fraud detection and real-time recommendations to network security and master data applications, Neo4j powers some of the most essential enterprise use cases for connected data.

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See for yourself how Neo4j customers use the world's leading graph database to power real-time intelligent applications.

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Transforming Logistics - Real-time Routing and Tracking with Neo4j

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Next-Gen Master Data Management Comes to Marketing at Pitney Bowes

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Walmart Optimizes Customer Experience with Real-time Recommendations

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Utpal Bhatt' Picture

Neo4j Blog
Financial Services & Neo4j: 360-Degree View of Customer Experience

Customer expectations are rising at a time when customer service is a significant differentiator within the financial services industry. Customers expect companies to deliver personalized service – i.e., an end-to-end customer experience – that reflects an understanding of who they are, their

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Jesús Barrasa' Picture

Neo4j Blog
RDF Triple Stores vs. Labeled Property Graphs: What’s the Difference?

Editor’s Note: This presentation was given by Jesús Barrasa at GraphConnect San Francisco in October 2016. Presentation Summary Resource Description Framework (RDF) triple stores and labeled property graphs both provide ways to explore and graphically depict connected data. But the two are very

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Michael Hunger' Picture

Neo4j Blog
A Game of Data and GraphQL [Game of Thrones Community Post]

This blog post was originally published on Medium by Michael Hunger and is used with permission. Creating a Neo4j graph database (and more) based on Game of Thrones (and A Song of Ice and Fire) data. As season 7 is progressing, interest around Game of Thrones data is flaring up again. There are plenty

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