SE-Radio Episode 353: Max Neunhoffer on Multi-model databases and ArangoDB

Scaling Strategies

Scaling in ArangoDB involves strategic use of coordinators and database servers to manage storage and compute loads effectively. Max Neunhoffer explains that sharding is done in a hash-based fashion, allowing for efficient document queries, but complex operations like joins require additional features like satellite collections for better performance 1. Nishant Suneja highlights the separation of coordinators and database servers, which allows for independent scaling of read and storage loads 2. This separation ensures that as demand increases, the system can adapt by adding more nodes where needed.

   

Graph Optimization

Smart graphs and satellite collections are pivotal in enhancing ArangoDB's performance for graph and document queries. Max Neunhoffer describes how satellite collections replicate small collections across nodes, enabling faster join operations 1. He also introduces smart graphs, which optimize graph traversal by keeping most edges local, significantly speeding up operations 1. Nishant Suneja notes that while these features improve scalability, there are theoretical limits to how much performance can be enhanced with additional machines 3.