Efficient memory usage is crucial when handling streaming data. Leveraging Python's generators reduces memory footprint by processing data on the fly. Adjusting chunk sizes during streaming requests impacts performance, while immediate processing of JSON objects minimizes overhead. Tools like tracemalloc help monitor memory usage for optimizations.