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 a graph many dedicated graph databases reach their limits in vertical or most common horizontal scalability.
In this talk I will address the glitches and most importantly the solutions on the journey to a scalable and distributed graph database. 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 San Francisco with ArangoDB