Data Aging is a suite-tailored data management concept for reducing the SAP HANA memory footprint, based on a Data Aging Framework provided by SAP NetWeaver ABAP.
Data Aging is available for SAP S/4HANA and offers the option of moving large amounts of data within SAP HANA in order to gain more working memory.
Data Aging differentiates between operationally relevant data (Hot/Current), and data that is no longer accessed during normal operation (Cold/Historical). The data temperature can be used to horizontally partition the tables (taking part in Data Aging) for optimising resource consumption and performance, moving data between the different partitions (i.e. from hot to cold partitions).
Hot data is stored within SAP HANA main memory, cold data stays primarily stored on disk, but remains accessible via SQL upon request.