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Differentiate between Kafka and Flume.

Answer»

APACHE Flume is a dependable, DISTRIBUTED, and available software for aggregating, collecting, and transporting massive amounts of log data quickly and efficiently. Its architecture is VERSATILE and simple, based on streaming data flows. It's written in the Java programming language. It features its own QUERY processing engine, allowing it to alter each fresh batch of data before sending it to its intended sink. It is designed to be adaptable.

The following table illustrates the differences between Kafka and Flume :

KafkaFlume
Kafka is a distributed data system.Apache Flume is a system that is available, dependable, and distributed.
It essentially functions as a pull model.It essentially functions as a push model.
It is made for absorbing and analysing real-time streaming data.It collects, aggregates, and moves massive amounts of log data from a variety of sources to a centralised data repository in an efficient manner.
If it is resilient to NODE failure, it facilitates automatic recovery.If the flume-agent fails, you will lose events in the channel.
Kafka operates as a cluster that manages incoming high-volume data streams in real-time.Flume is a tool for collecting log data from web servers that are spread.
It is a messaging system that is fault-tolerant, efficient, and scalable.It is made specifically for Hadoop.
It's simple to scale.In comparison to Kafka, it is not scalable.


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