Kafka consumers excel at robust, persistent, exactly-once event-streaming processing - a foundation for distributed, scalable systems. Celery is powerful for distributed Python task queues, retries, and timeouts; less so for true real-time or event-streamed data. For at least once background tasks, Celery is simpler; for real event-driven or stream-first loads, Kafka consumers are preferable.
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