Which feature of SAP HANA enables users to perform complex calculations across large datasets quickly?

In-memory processing is the feature of SAP HANA that enables users to perform complex calculations across large datasets quickly. This capability is rooted in the architecture of SAP HANA, where data is stored in RAM rather than on traditional disk-based storage. This allows for significantly faster data access and computation speeds since accessing data from memory is orders of magnitude faster than reading from disk.

When complex calculations are performed, in-memory processing eliminates the latency associated with traditional data storage methods, enabling real-time analytics and quick decision-making. The ability to hold large volumes of data entirely in-memory means that SAP HANA can execute advanced analytics, like calculations and aggregations, without needing to access multiple disks or compromise on performance.

While the other features such as row storage, data tiering, and partitioning contribute to the database's overall efficiency and management, it is the in-memory processing that is the critical driver for fast computation on large datasets, allowing HANA to meet the demands of modern data-driven applications where speed is essential.