When should you enable streaming in database connectors for performance?

Enabling streaming in database connectors is particularly beneficial for large result sets because it allows the application to process data in a more memory-efficient manner. When dealing with large amounts of data, loading everything into memory at once can lead to excessive resource consumption and potential out-of-memory errors.

By enabling streaming, the data is fetched in smaller, manageable chunks rather than all at once. This incremental fetching allows the application to process each chunk of data as it is received, minimizing memory usage and improving overall performance. This is especially useful in enterprise scenarios where data sets can be significantly large, ensuring that applications remain responsive and efficient while handling considerable volumes of data.

In contrast, small result sets do not typically present memory issues, and therefore the performance enhancement gained through streaming may not provide significant benefits. Batch jobs might be better handled using traditional approaches since they're often designed to process data in bulk. Static data generally does not require streaming since it can be handled more effectively by loading it fully into memory for quick access.