What does the Batch Processing feature in MuleSoft allow?

The Batch Processing feature in MuleSoft is designed specifically to handle large volumes of data by breaking them down into smaller, more manageable batches for processing. This allows for efficient data handling, as it can improve performance, reduce memory consumption, and enable error handling at the batch level.

When using batch processing, data is processed in increments, which can be useful for scenarios where large datasets need to be processed without overwhelming system resources. This approach also facilitates better control over the processing flow, as each batch can be monitored and managed independently, making it easier to implement retry mechanisms or error logging.

In contrast, the other choices do not accurately reflect the primary function of the Batch Processing feature. Processing real-time data is more aligned with streaming capabilities, splitting files pertains to data transformation and not specifically to batch processing, and storing data in a database does not directly relate to how batch processing works within MuleSoft's framework.