Following the trend toward digitalization requires a paradigm shift in data processing. SAP S/4HANA as a digital core can help companies in the cloud and on premise.
If we translate this idea into business software, the technical restrictions adherent to traditional databases are dead weight. Up until now, data silos, separate OLTP and OLAP systems, indexes, aggregates, and missing real-time insights and end-to-end processes have hindered the implementation of new business models and interdisciplinary solutions. Aggregates and programmed indexes are of no semantic value, merely enabling reasonably quick access to sums and data in traditional systems, yet they restrict scalability for applications due to the required database locks during aggregate updates.
The in-memory technology of SAP HANA follows a different approach: data is stored in columns, rendering indexes and aggregates superfluous. For goods movements, this means one can book only primary information with maximum scalability while avoiding database locks. Related secondary information such as aggregates and key performance indicators are determined on the fly. The in-memory technology is the most important feature of this system.