In today's data-oriented world, a large volume of information is utilized. The first test is how to gather an enormous volume of information and the subsequent test is to investigate the gathered information. Kafka will in general work very well as a swap for a more conventional message intermediary. In contrast with other informing frameworks, Kafka has better throughput, implicit parceling, replication, and inalienable adaptation to internal failure, which makes it a solid match for huge scope messages. A MESSAGING SYSTEM is answerable for moving information starting with one application then onto the next, so the applications can zero in on information, yet not stress over how to share it.