What types of data or tasks are best handled using stream parsing?

Streaming parsing is best suited for processing large volumes of data or streams where it is impossible or inefficient to load the entire document into memory at once. For example:

• Large XML or JSON files that need to be processed in parts.
• Data streams from the network, where data arrives gradually.
• Log files or other sequential data processed as it arrives.

The advantage of streaming parsing is that it minimizes memory usage and allows data processing to start immediately, without waiting for the full load.