Can multiple consumers process a single partition simultaneously in a queue or data stream system?

In systems like Apache Kafka, a partition can be processed by only one consumer within a consumer group at a time.

This is done to ensure message order and prevent conflicts during processing. If multiple consumers read from the same partition simultaneously, the order might be broken, and consistency issues could arise.

To scale processing, usually, the number of partitions is increased so that each consumer in the group can be assigned a separate partition.

Thus, multiple consumers cannot process the same partition simultaneously — the partition is assigned to only one consumer within the group.