The 5-Minute Interview: Chuck Kane, Director of Global Solutions at Pitney Bowes

“Moving from relational to graph, it takes time to learn to step back from your data and ask, ‘What more can I do?’” said Chuck Kane, Director of Global Solutions at Pitney Bowes. The company partnered with Neo4j to provide… Read more →

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The JetBrains IDE Plugin for Graph Database Developers [Community Post]

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Many developers mostly stay in their integrated development environments (IDEs) when working on software. That’s why… Read more →

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Neo4j on Mesosphere DC/OS

Don’t miss Johannes present on scaling out Neo4j using Apache Mesos and DC/OS at the next Neo4j Online Meetup! (dcos)-[:MANAGES]->(instance)<-[:RUNS_ON]-(neo4j) The same day that Neo4j 3.1 was released in December 2016 it also became available as a Mesosphere Universe package.… Read more →

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This Week in Neo4j – 11 March 2017

Welcome to this week in Neo4j. This week we’ve got articles showing how to integrate Neo4j with Kibana, using jQAssistant from Pandas, and lots of releases of Neo4j and related projects. But first: International Women’s Day Praveena and Eve answering… Read more →

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The 5-Minute Interview: Andrés Natanael Soria, Senior Software Architect at Cablevisión

“Due to native graph storage, the Neo4j queries run really quickly, which is amazing,” said Andrés Natanael Soria, Senior Software Engineer at Cablevisión Fibertel. The company uses a broadband network to provide cable television and internet services to customers throughout… Read more →

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The Co-Evolution of Computer Hardware & Graph Databases: Why Graph-Native Matters

Neo4j is a native graph database, which means all of the code – from the web browser to the drivers, Bolt protocol, page cache, cluster protocols, disk storage format — is optimized for graph workloads. As hardware advances come along,… Read more →

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Getting Started with the Microsoft Concept Graph in Neo4j

What does the study of concepts (or categories, depending on your field of study) tell us about the human mind? A result of the Probase research project, the Microsoft Concept Graph harnesses billions of web pages and search logs to build a huge graph of relations between words (like “apple”) and their concepts (like “fruit” or “hardware company”). Using this data, the team at Microsoft hopes to build better search engines, spell-checkers, recommendation engine, taxonomies and more.

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This Week in Neo4j – 4 March 2017

Welcome to the 2nd edition of This Week in Neo4j! If you’ve got any ideas for things we should cover in future editions, I’m @markhneedham on Twitter or send an email to devrel@neo4j.com. Contributing to Neo4j: Florent Biville Florent Biville… Read more →

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The 5-Minute Interview: Antonio Molins, VP of Data Science at Miroculus

“We think it’s good to use the right tool for the right problem — and graph databases are the right tool if you are focusing on relationships,” said Antonio Molins, Vice President of Data Science at Miroculus. Choosing the right… Read more →

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