Batch processing involves collecting and processing large datasets at scheduled intervals.Streaming processing works on data in motion, analyzing and acting on events as they arrive.Batch processing is more cost-effective when processing non-time-sensitive data.The decision between batch and streaming depends on latency requirements, cost constraints, and business goals.