A key difference I observed was that if a Kafka consumer crashes, a rebalance is triggered by kafka after which the remaining consumers seamlessly start consumi

A key difference I observed was that if a Kafka consumer crashes, a rebalance is triggered by kafka after which the remaining consumers seamlessly start consuming the messages from the last committed offset of the failed consumer. Whereas with Redis streams I had to write code in my application to periodically poll and claim unacked messages pending for more then some threshold time.