Which source type does NOT support Incremental Processing in Data Replication tasks?

Incremental processing refers to the technique of only analyzing or transferring new or updated data since the last processing cycle, rather than processing the entire data set each time. This approach is especially useful for improving performance and reducing resources consumed during data replication tasks.

Excel files do not support incremental processing in the context of Data Replication tasks. This is primarily because Excel files are static in nature and do not have built-in features for tracking changes or versions over time. To perform incremental updates with Excel files, there is no efficient mechanism available to identify which rows have changed or been added since the last run, making it impractical to apply incremental processing.

In contrast, SQL databases, NoSQL databases, and Salesforce support mechanisms such as timestamps, change tracking, or APIs that allow for identifying and processing only the new or modified records. This capability enables efficient data replication tasks, making them capable of incremental processing.