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Keynote | Business

Scaling to billions of Edges in a Graph Database

Thursday 16th | 12:15 - 12:45 | Theatre 20


Keywords defining the session:

- Scalability

- Graph,

- Database

Description:

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. 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. The main topics of this talk are: -Modern architectures in graph databases -Scaling a graph: Bottlenecks in read and write performance -Index free adjacency or hybrid indexes for graphs? -Dealing with billions of edges: A graphy journey to Madrid with ArangoDB