Conquer Apache Kafka 2025 – Dive into Data Streaming Dominance!

In Apache Kafka, data is considered committed when it is successfully replicated to all in-sync replicas (ISRs). This ensures that there is a level of durability and reliability for the data being processed. By waiting for acknowledgement from all in-sync replicas, Kafka ensures that even in the event of a broker failure, the data remains intact and can be retrieved.

The process of committing data in this way provides strong consistency guarantees and helps maintain data integrity across the cluster. If a producer sends a message and it only gets replicated to one broker, there is a risk that data could be lost if that broker fails before replicating the data to other ISRs. Therefore, ensuring that all in-sync replicas have acknowledged the data before it is considered committed is crucial for the overall reliability of the streaming data system. This level of commitment is especially important in scenarios where data consistency is critical, such as in financial transactions or real-time analytics applications.