Which of the following engines are associated with the SAP HANA architecture?

In SAP HANA architecture, the primary engines are designed to handle various data processing tasks efficiently. While the OLAP engine is indeed a core component of the SAP HANA analytics layer, allowing for complex analytical queries to be processed, the term "analytic engine" is often used interchangeably with OLAP functionality.

The analytic engine specifically focuses on providing advanced analytics capabilities, including calculation views, and supports various operations that enhance real-time analytics. It allows queries to leverage the in-memory columnar storage, resulting in rapid data processing and retrieval, which is essential for business intelligence and reporting.

Focusing on the options provided, while OLAP and analytic functions overlap significantly in their use within SAP HANA, the analytic engine is recognized explicitly for its role in executing analytical queries and processing large volumes of data efficiently.

The other engines, like the join engine, specialize in managing specific SQL operations, primarily dealing with joining datasets. Each of these engines serves a specific purpose, but when it comes to general analytics capabilities within SAP HANA architecture, the analytic engine stands out as a critical component enabling comprehensive analytical processing.