Confluent announces the General Availability of Queues for Kafka on Confluent Cloud and Confluent Platform with Apache Kafka 4.2. This production-ready feature brings native queue semantics to Kafka through KIP-932, enabling organizations to consolidate streaming and queuing infrastructure while...

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Confluent Blog

Kafka now supports native queue semantics via the Share Consumer API (KIP-932), now generally available on Confluent Cloud and coming to Confluent Platform 8.2 with Apache Kafka 4.2. Share groups allow multiple consumers to process messages from the same topic regardless of partition count, breaking the traditional 1:1 partition-to-consumer constraint. The broker manages per-message acquisition locks (default 30s), enabling consumers to acknowledge, release, reject, or renew individual messages. This eliminates the need to run separate messaging systems for streaming and task queue workloads. Key use cases include command invocation, job processing, and event-driven workflows requiring elastic scaling. The new KafkaShareConsumer class is designed as a near drop-in replacement for KafkaConsumer. Future roadmap includes DLQ support, exactly-once semantics, exponential back-off, and key-based ordering.

Kafka Queue Semantics Now GA with Share Consumer API