Spark Streams vs Kafka Streams

Hi,

Whenever the discussion about what streaming framework to use for near-realtime analytics, there is normally a discussion about Spark vs Kafka streaming. One of the points in favor of Spark streaming is the simple aggregations that are built-in. See here: https://sparkbyexamples.com/spark/spark-sql-aggregate-functions/. When it comes to Kafka streams, there is boilerplate code for some of them. Is there any reason why it is not provided as part of the library ? I am unable to find any discussion on this topic. Are there any plans to provide such features in the Kafka streaming library ?

Thanks
Mohan