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What is the difference between all the streaming Hadoop solutions: Flume, Spark (Databricks), Storm, Kafka (Confluent), and Malhar (Datatorrent)?
How does Storm compare to Kafka?
Storm and Kafka are both stream processing frameworks, but they differ in some key areas. Storm is focused on processing data in real-time using complex event processing, whereas Kafka is designed for durable, reliable, and scalable data transport in a publish-subscribe messaging model. Kafka and Storm can be used together to create highly scalable streaming architectures.