Highly compressible datasets, such as those with repeated string fields, nested structures, or uniform rows, can benefit significantly from physical storage billing. Yet most datasets remain on logical storage by default, even when physical storage would reduce costs.

This inefficiency is common for cold or infrequently updated datasets that are no longer optimized or regularly reviewed. Because storage behavior and data characteristics evolve, failing to periodically reassess the billing model may result in persistent waste.