Which of the following table partitioning types does SAP HANA support?

SAP HANA supports multiple types of table partitioning, which enhance performance and manageability of data within the database. Among the options, the correct answer is hash partitioning.

Hash partitioning divides a dataset into multiple partitions based on a hashing algorithm applied to a specified column. This method ensures that data is evenly distributed across the available partitions, which is particularly beneficial for workloads that involve high concurrency and parallel data access. It helps optimize query performance by allowing efficient access paths to the data, as each transaction can be processed in parallel on different partitions.

Other partitioning methods like round-robin, composite, and range offer different strategies for organizing data but are not the focus of this question if hash partitioning is what is being highlighted. Round-robin distributes data evenly but does not consider the value of the data, whereas range-based partitioning groups data into defined ranges based on column values, which can lead to uneven distribution if not carefully managed. Composite partitioning combines features of different types but is generally used in more complex scenarios.

Understanding these partitioning methods is crucial for optimizing performance in SAP HANA environments, as the choice of method can significantly impact data retrieval efficiency.