Choose a generator for lazy evaluation, infinite sequences, or large datasets where computing all values upfront would consume excessive memory. Generators trade CPU overhead for memory efficiency.
Generators are ideal when you need to process one item at a time and may stop early. They avoid allocating arrays, saving memory. Arrays provide random access and are easier to reuse but require all elements to be stored. For small or finite datasets, arrays are simpler; for large or infinite sequences, generators are superior.