This document compares two stream processing platforms, Spark Structured Streaming and Kafka Streams, detailing their architectures, features, and use cases. It highlights the differences in processing models, language support, and operational capabilities such as event time processing and state management. The summary concludes with a comparison of their advantages and limitations within stream processing ecosystems.