Register Now for Current 2022: The Next Generation of Kafka Summit, let's explore the future of data streaming live!
Elige tu plan de implementación
Elige tu plan de implementación
Elige tu plan de implementación
Elige tu plan de implementación
An increasingly important system requirement for distributed stream processing applications is to provide strong correctness guarantees under unexpected failures and out-of-order data so that its results can be authoritative (not needing complementary batch results).
Kafka Streams, a scalable stream processing client library in Apache Kafka, defines the processing logic as read-process-write cycles in which all processing state updates and result outputs are captured as log appends.
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