What is the primary difference between batch processing and streaming processing in pipeline architectures?

The primary difference between batch processing and streaming processing in pipeline architectures lies in the timing of data processing. Batch processing involves processing data in discrete chunks or batches at scheduled intervals, while streaming processing involves continuously processing data in real-time as it becomes available. Batch processing is suited for scenarios where data can be collected over time before processing, whereas streaming processing is ideal for handling data that requires immediate analysis or actions as it arrives.