Handling Billions Of Edges in a Graph Database

Handling Billions Of Edges in a Graph Database

Apache Zeppelin, the missing GUI for your Big Data back-end

Michael Hackstein is a Senior Graph Specialist @ ArangoDB GmbH. He holds a Masters degree in Computer Science and is the creator of ArangoDBs graph capabilities. During his academic career he focused on complex algorithms and especially graph databases. Michael is an internationally experienced speaker who loves salad, cake and clean code.

Modern graph databases are designed to handle the complexity but still not the amount of data. When hitting a certain size of a graph, many dedicated graph dbs reach their limits in scalability. In this talk I’ll provide an overview about current approaches and their limits towards scalability.

The complexity and amount of data rises. Modern graph databases are designed to handle the complexity but still not for the amount of data. When hitting a certain size of a graph many dedicated graph databases reach their limits in vertical or, most common, horizontal scalability. In this talk I’ll provide a brief overview about current approaches and their limits towards scalability. Dealing with complex data in a complex system doesn’t make things easier… but more fun finding a solution. Join me on my journey to handle billions of edges in a graph database.

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