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Handling Billions of Edges in a Graph Database

385 views · Published 8 December 2016 · 39:27 · Indexed 8 November 2026

Channel: The Linux Foundation · 2016 · Science & Technology

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The amount and complexity of data rises. The need for a database capable of dealing with those requirements is rising as well. Modern graph databases are designed to handle the complexity but what about the increasing amount of data? When hitting a certain size of graphs many dedicated graph databases reach their limits in vertical and in particular horizontal scalability.

In this talk I will address the glitches and more importantly the solutions on the journey to a scalable and distributed graph database. The main topics of this talk are:
(1) Modern architectures in graph databases,
(2) Scaling a graph: Bottlenecks in read and write performance,
(3) Index free adjacency or hybrid indexes for graphs?,
(4) Dealing with billions of edges.
With ArangoDB there is a modern and scalable graph database readily available for Mesos, which makes deployment and actual scaling very easy.

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