What is the difference between storing data on disk and storing in memory using Sterna BPS?
Sterna BPS server bypasses the need to aggregate data and calculates the requested information on the fly. It also has a unique built-in time management and conversion mechanisms. The combination of these features results in a massive reduction of data volume, in the order of 1000 to 1. The magnitude of this reduction is very much implementation specific, and depends on the data structure and the timeframe loaded into memory. In general, the longer timeframe stored, the bigger the difference in data volume.
