Which DataRaptor Type should be used to manipulate any data that comes from inside or outside Salesforce?

The DataRaptor Transform is specifically designed for manipulating data from various sources, whether that data originates from within Salesforce or is sourced externally. This type of DataRaptor allows users to implement complex logic for data transformation, effectively changing the format or structure of data as needed.

In scenarios where data manipulation is required, such as changing fields, merging data, or applying business logic to the datasets, the DataRaptor Transform shines because it can adjust the data without requiring it to be loaded into Salesforce first. This versatility makes it a primary choice for scenarios that involve preparing data for output or further processing.

Other options serve distinct purposes: DataRaptor Load is focused on loading data into Salesforce, DataRaptor Extract is tailored for retrieving data out from Salesforce, while Integration Procedures are generally utilized for orchestrating multiple integration operations. Each of these has its own specific use case but does not encompass the comprehensive data manipulation capabilities that DataRaptor Transform offers.