It aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds. Kafka provides reliable, millisecond responses to support both customer-facing applications and connecting downstream systems with real-time data. Niles Partners is launching a product which will configure and publish Apache Kafka, to produce free implementations of distributed or otherwise scalable and high availability which is embedded pre-configured tool with Ubuntu and ready-to-launch VM on Azure that contains Hadoop, Hbase and Apache Kafka. Before going into deep, one must learn that whatever we are using, what good it stands for? And to understand this, we have two applications that are as follows: Building real-time streaming data pipelines that reliably get data between systems or applications Building real-time streaming applications that transform or react to the streams of data It is one of the most popular tool among the developers around the world as it is easy to pick up and such a platform with 4APIs namely Producer, Consumer, Streams, and Connect. The Producer API allows an application to publish a stream of records to one or more Kafka topics. The Consumer API allows an application to subscribe to one or more topics and process the stream of records produced to them. The Streams API allows an application to act as a stream processor, consuming an input stream from one or more topics and producing an output stream to one or more output topics, effectively transforming the input streams to output streams. The Connector API allows building and running reusable producers or consumers that connect Kafka topics to existing applications or data systems. For example, a connector to a relational database might capture every change to a table.