Applying Graph Analytics to Game of Thrones
by Amy Hodler & Mark Needham, Neo4j (guest author), 12 June 2019
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In this post, we review how organizations are integrating graph transactions and analytic processing and then dive deeper into graph algorithms. We’ll provide examples of using graph algorithms on Game of Thrones data to illustrate how to get started. Note that portions of this content have been taken from our O’Reilly book, Graph Algorithms: Practical Examples in Apache Spark & Neo4j, which you can download for free.
» moreMySQL, PostgreSQL and Redis are the winners of the March ranking
by Paul Andlinger, 2 March 2016
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While the open-source DBMS show a very good performance in this months ranking, we monitor some popularity drops for the large commercial systems.
» moreThe openCypher Project: Help Shape the SQL for Graphs
by Emil Eifrem (guest author), 22 December 2015
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Learn how you can get involved with the graph database community’s newest collaboration: the openCypher project, an open source query language for graphs.
» moreGraph DBMS increased their popularity by 500% within the last 2 years
by Paul Andlinger, 3 March 2015
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Graph DBMS show an extraordinary momentum and are making their way into enterprises.
» moreGraph DBMSs are gaining in popularity faster than any other database category
by Matthias Gelbmann, 21 January 2014
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When we look at how much various categories of database management systems increased their popularity last year, Graph DBMSs are the clear winner with more than 250% increase.
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