Which statement about SAP HANA data models is true?

The statement that SAP HANA data models support both row and column storage for flexibility is accurate. This dual storage capability allows users to optimize the database according to the specific needs of different data processing and analytic tasks. By utilizing row storage for transactional workloads—which require frequent read and write operations—and column storage for analytical processing—which benefits from high compression and faster data retrieval—SAP HANA provides an efficient architecture that caters to varying performance needs.

This flexibility is a key feature of SAP HANA, as it enables organizations to manage and analyze large volumes of data effectively. With the ability to switch between row and column storage based on the dataset characteristics and business requirements, users can achieve better performance for both OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing).

The incorrect assertions regarding other statements include a limitation to row storage, a restriction on the types of data outputs, and an inability to conduct real-time data analytics; none of these accurately depict the comprehensive capabilities offered by SAP HANA's innovative approach to data modeling.