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What is the difference between all the streaming Hadoop solutions: Flume, Spark (Databricks), Storm, Kafka (Confluent), and Malhar (Datatorrent)?
Can you tell me the difference between all the streaming Hadoop solutions: Flume, Spark (Databricks), Storm, Kafka (Confluent), and Malhar (Datatorrent)?
Certainly! Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. Spark is an open-source distributed computing system for big data processing. Storm is a distributed stream processing computation framework written mainly in Clojure. Kafka is a distributed streaming platform that provides fast, reliable, and scalable events streaming in a publish-subscribe messaging system. Malhar is an open-source library for data streaming applications, which supports both stream processing and batch data processing.