What is a key advantage of DataWeave 2.0 streaming over DataWeave 1.0?

• A. It allows processing large data sets efficiently without loading the entire payload into memory.
• B. It requires loading the entire payload into memory before processing.
• C. It only supports XML input.
• D. It is slower than DataWeave 1.0.

Answer: (A)

Streaming in DataWeave 2.0 means the engine reads input, transforms, and writes output in small chunks as they arrive, rather than building the entire payload in memory. This lets you handle very large inputs efficiently with a predictable, low memory footprint. In DataWeave 1.0, the typical approach required loading the whole payload into memory before processing, which can cause high memory usage or failures with large data. So the main advantage is memory-efficient, scalable processing of big data. Streaming also doesn’t limit you to XML, and it doesn’t inherently make processing slower; it’s designed to maintain or improve performance when dealing with large streams.