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What is the difference between all the streaming Hadoop solutions: Flume, Spark (Databricks), Storm, Kafka (Confluent), and Malhar (Datatorrent)?
How is Flume different from the others?
Flume is primarily used for collecting and transporting large amounts of log data from various sources to Hadoop. It provides reliability through built-in mechanisms for failover and recovery, as well as load balancing and high throughput. Flume is also optimized for streaming data from web servers and other sources with high input/output rates.