How Can I Slow Down HANA?
The good performance of a HANA database stems from the systematic orientation to an in-memory database, as well as using modern compression and Columnstore algorithms. This means that the database has to read comparatively less data when calculating aggregations for large quantities of data and can also perform this task exceptionally quickly even in the central memory.
However, one of these benefits may very quickly be rendered moot if the design of the data model is below par. As such, major benefits in terms of runtime and agility may become null and void for both the HANA database, as well as the users.