Is Incremental Processing built into Data Replication for all source types?

Incremental Processing is not built into Data Replication for all source types. Incremental Processing refers to the method of capturing and replicating only the changes that occur in the source data since the last replication, which enhances efficiency and reduces the load on network resources. However, this capability can depend on the characteristics of the source system being used.

For some source types, especially traditional databases and certain cloud sources, incremental processing is supported as it leverages database logs or change data capture mechanisms. However, there are other source types or systems where this functionality might not be available, thereby making it impossible to implement incremental processing. Consequently, it is inaccurate to claim that this feature is universally applicable to all source types utilized in Data Replication.