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Applying Graph Analytics to Game of Thrones
by Amy Hodler & Mark Needham, Neo4j (guest author), 12 June 2019
Tags: Graph DBMS, Neo4j

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.

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MySQL, PostgreSQL and Redis are the winners of the March ranking
by Paul Andlinger, 2 March 2016
Tags: 4D, DB2, Elasticsearch, Microsoft SQL Server, MySQL, Neo4j, Open source DBMS, Oracle, PostgreSQL, Realm, Redis

While the open-source DBMS show a very good performance in this months ranking, we monitor some popularity drops for the large commercial systems.

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The openCypher Project: Help Shape the SQL for Graphs
by Emil Eifrem (guest author), 22 December 2015
Tags: Cypher, Graph DBMS, Neo4j, Oracle

Learn how you can get involved with the graph database community’s newest collaboration: the openCypher project, an open source query language for graphs.

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Graph DBMS increased their popularity by 500% within the last 2 years
by Paul Andlinger, 3 March 2015
Tags: Database models, DB2, Graph DBMS, Neo4j, Oracle, OrientDB, Relational DBMS, Titan

Graph DBMS show an extraordinary momentum and are making their way into enterprises.

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Graph DBMSs are gaining in popularity faster than any other database category
by Matthias Gelbmann, 21 January 2014
Tags: Graph DBMS, Neo4j, OrientDB, Relational DBMS, Titan

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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