Which feature enhances data processing speed in SAP HANA?

In-memory data storage is a significant feature that enhances data processing speed in SAP HANA. This approach allows the database to load data directly into the main memory (RAM) rather than relying on traditional disk storage, which has much slower access times. By keeping data in-memory, SAP HANA can execute queries and processing operations at lightning speed, as it reduces the latency associated with disk I/O operations.

In addition, in-memory storage allows for more efficient data compression and faster access patterns, which contribute further to performance improvements. Overall, the architecture of SAP HANA is optimized for in-memory computing, enabling real-time data processing and analytics, which is a core reason for its popularity in business environments where speed and efficiency are critical.

The other options do not contribute to enhancing data processing speed in the same effective manner. File-based storage relies on disk access, which is inherently slower. Sequential data processing does not prioritize speed but rather follows a linear order of operations. Remote data access may introduce latency due to network constraints, making it less favorable for speed in comparison to in-memory processing.