Spark Streaming and Apache Kafka are real-time data processing systems with distinct applications. Spark Streaming is suitable for real-time data processing, ETL transformations, and machine learning, while Kafka is ideal for high-throughput, distributed data input. Organizations should evaluate their needs and use cases before choosing.
Apache Kafka vs Apache Spark Streaming: Understanding the Key Differences












