Graph Compute with Neo4j: Built-in Algorithms, Spark & Extensions
By Bryce Merkl Sasaki
March 9, 2016|
Reading time: 10 minutes
Editor’s Note: Last October at GraphConnect San Francisco, Ryan Boyd – Developer Relations at Neo Technology – delivered this presentation on how to perform various graph compute functions within the Neo4j ecosystem. For more videos from GraphConnect SF and to… Read more →
Keywords: dijkstra algorithm • docker • Graph Algorithm • graph compute • graphconnect • mazerunner • neo4j • OLTP • PageRank • spark
RDBMS & Graphs: Graph Basics for the Relational Developer
By Bryce Merkl Sasaki
February 20, 2016|
Reading time: 5 minutes
We already know that relational databases aren’t always enough for handling the volume, velocity and variety of today’s data, but what’s the clear alternative? There are a lot of other database options out there – including a number of NoSQL… Read more →
Keywords: data model • graph • graph database • graph processing • Graph Theory • index free adjacency • nosql • OLTP • rdbms • relational database
Neo4j on IBM POWER8: Scale Massive Graphs Like Never Before
By Neo4j Staff
November 13, 2015|
Reading time: 3 minutes
openCypher and the Neo4j 2.3 release weren’t the only big announcements Emil Eifrem made during his keynote address at GraphConnect San Francisco. The Neo4j team is also proud to unveil Neo4j on IBM POWER8. Just as we are working hard… Read more →
Keywords: data processing • graph database • graph processing • IBM • linux • neo4j • OLTP • power systems • POWER8 • Scalability
Data Migration between MySQL and Neo4j
By Neo4j Staff
April 26, 2013|
Reading time: 4 minutes
Many organizations that are looking at modeling highly connected data to add business intelligence or analytical capabilities using Neo4j already have a database in place. Introducing a graph database into the mix does not have to be a disruptive process.… Read more →
Keywords: data import • data migration • data model • data sync • MySQL • neo4j • OLTP • rdbms • sql • sql query
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