Which of the following is a key feature of the HANA platform?

The HANA platform is designed to process large volumes of data in real-time, making real-time data analysis capabilities one of its standout features. This capability allows organizations to analyze their data as it is generated and make informed decisions based on real-time insights. Utilizing in-memory computing technology, HANA stores data in RAM rather than on disk, significantly speeding up data retrieval and processing times. This powerful feature is particularly advantageous for businesses that require immediate access to their data, such as in financial services, retail, and telecommunications.

Other options present limitations that do not align with the HANA platform's capabilities. Support for only SQL queries suggests a lack of flexibility in data querying, which HANA does not face as it supports various data processing languages and paradigms. The claim of exclusive use of on-premise installations overlooks the variety of deployment options offered by HANA, including cloud and hybrid solutions. Lastly, fixed data storage limitations imply a restriction that is contrary to HANA's scaling capabilities, which allow for handling vast amounts of data as needed. Thus, the feature of real-time data analysis emphasizes HANA's role as a forward-thinking analytical database.