What storage type does SAP HANA support for data?

SAP HANA is designed to handle large volumes of data efficiently and employs a unique approach to data storage. The correct answer is that SAP HANA supports column storage, which is pivotal for its architecture.

Column storage organizes data in columns rather than rows, allowing for more efficient querying, especially for analytical applications where aggregate calculations are common. This format enables SAP HANA to read only the needed columns of data rather than entire rows, which significantly speeds up the data retrieval process and optimizes memory usage.

Additionally, columnar storage supports better compression algorithms, reducing the overall storage footprint and improving performance for analytical workloads. The technology allows for faster processing of complex queries by enabling operations such as scanning and aggregation directly on compressed column data.

Other storage types like file storage pertain more to traditional disk storage solutions and aren't indicative of the in-memory processing capabilities that SAP HANA provides. Sheet storage is not a recognized term in the context of HANA's data management strategies, and while row storage may be utilized in other database systems, it does not take advantage of the advanced performance characteristics offered by column storage found in SAP HANA.