Traditional business intelligence tools and corporate performance management solutions typically use an IO-based processing technique that makes the compilation and analysis of data a slow process. It limits processing and speed from hardware resources that use extensive IO to read and write to and from the disk. This challenge can be frustrating for users and for IT staff because it reduces productivity and can overwhelm systems during peak periods.
BI solutions that utilize InMemory Computing are able to load data into memory, and because the process of memory read/write is very efficient and fast as compared to IO-based processing technique, it provides superior performance. However, InMemory Computing requires a lot of memory to serve large data sets and a large user base, and that is an expensive hardware proposition.