What type of DataRaptor is suitable for retrieving a list of cases based on a customer's asset?

The suitable type of DataRaptor for retrieving a list of cases based on a customer's asset is the DataRaptor Extract. This DataRaptor type is specifically designed to perform read operations, allowing users to extract data from Salesforce. In this scenario, when the requirement is to pull a list of cases that relate to a customer's asset, the Extract functionality provides the necessary capabilities to query and retrieve the relevant records from the Salesforce database.

DataRaptor Extract is particularly useful because it can leverage filters and conditions to ensure that only the appropriate cases connected to the specified asset are fetched, thus facilitating efficient data retrieval tailored for specific criteria. The focus on extraction aligns perfectly with the need to gather existing data rather than altering or loading new data into the system.

In contrast, the other DataRaptor types serve different purposes; Turbo is optimized for performance in retrieving data but is not specifically tailored for the querying of complex data relationships like cases tied to an asset. Load is meant for writing or creating records in the database rather than retrieving data. Transform is used to manipulate data that is already present without pulling new data from the database. Therefore, in terms of functionality and purpose, DataRaptor Extract is the appropriate choice for this scenario.