What is one of the reasons for using data transforms during saving operations?

One of the primary reasons for using data transforms during saving operations is to maintain transactionality within the save operation. Data transforms are designed to handle data manipulation in a structured way, ensuring that the changes made to the data are consistent and reliable. When saving data, it's crucial that either all changes are applied successfully or none at all, particularly in complex systems where multiple pieces of data may depend on each other.

By utilizing data transforms, developers can encapsulate the logic that governs how data is modified and ensure that if any part of the operation fails, the entire transaction can be rolled back, thereby preserving data integrity. This feature is vital in maintaining a stable application state and preventing partial data updates, which could lead to inconsistencies or corruption in the database.

Using data transforms does not inherently provide data encryption, optimize database performance, or visualize data changes, which distinguishes transactionality as the key function during save operations.