Flume’s main application is to feed data into Hadoop. Hadoop’s monitoring system, file formats, file system, and tools like Morphlines are all integrated into Flume. Flume’s architecture of sinks, sources, and channels can aid in the smooth transfer of data to other systems. Hadoop’s major feature, though, is its Hadoop integration. When we have non-relational data sources or a large file to stream into Hadoop, Flume is the ideal solution.
Kafka, on the other hand, is well known for its distributed publish–subscribe messaging system. It wasn’t built particularly for Hadoop, thus reading and writing data to Hadoop using Kafka is far more difficult than with Flume. When we require a highly reliable and scalable business messaging solution to link various systems, such as Hadoop, we may utilise Kafka.