Which DataRaptor Type should be used to save data to one or more Salesforce objects?

The correct choice for saving data to one or more Salesforce objects is to use a DataRaptor Load. DataRaptor Load is specifically designed to facilitate the process of writing or updating records in Salesforce. This functionality allows you to map fields from your source data to the corresponding fields in Salesforce objects, enabling seamless data management during operations such as creating new records or updating existing ones.

DataRaptor Load is particularly useful when you need to import large sets of data or perform batch updates, ensuring that the data adheres to the validation rules and formats required by Salesforce. It effectively handles the necessary data transformations needed to align the incoming data with Salesforce's data model.

In contrast, other types of DataRaptors serve different purposes. For instance, a DataRaptor Extract is used for retrieving data from Salesforce objects, while a DataRaptor Transform is intended for manipulating or reformatting data after extraction but before loading it. DataRaptor Refresh, on the other hand, is used primarily for reloading existing records based on specific conditions without creating new entries or altering the records' fundamental structure. Each type aligns with distinct phases in the data process flow within Salesforce, making the DataRaptor Load the go-to choice for data saving tasks.