SAP HANA Practice Exam 2025 – Complete Prep Resource

In SAP HANA, the column store is optimized for read operations, making it the preferred choice for analytical queries. This storage method organizes data into columns rather than rows, which significantly enhances data retrieval speeds, especially for large datasets or complex queries that require aggregating or filtering on specific columns.

The columnar format reduces the amount of data that needs to be scanned when executing a query, as only the relevant columns are accessed rather than entire rows. This leads to improved performance in scenarios where read operations dominate, such as in data analytics and reporting. Additionally, the column store supports more efficient compression techniques, further enhancing read operation speeds.

In contrast, other storage options like the row store are typically more suitable for transactional operations where frequent writes and updates occur. Delta storage, while useful for handling new or changed data before it is merged into the main storage, is not specifically optimized for rapid read access. Main storage refers to the overall data storage system in SAP HANA but doesn’t inherently denote an optimization for read operations compared to the column store.