Apache Kafka : It is a distributed and robust messaging system that can handle huge amount of data and allows passage of messages from ONE end-point to another. Kafka is designed to allow a single cluster to serve as the CENTRAL data backbone for a large organization. It can be elastically and transparently expanded without downtime. Data streams are partitioned and spread over a cluster of machines to allow data streams larger than the capability of any single machine and to allow clusters of COORDINATED CONSUMERS.

Whereas.

Apache Storm : It is a real time message processing system, and you can edit or manipulate data in real-time. Storm pulls the data from Kafka and applies some required manipulation. It makes it easy to reliably process unbounded streams of data, doing real-time processing what Hadoop did for batch processing. Storm is simple, can be used with any programming language, and is a lot of fun to use.

Apache Kafka : It is a distributed and robust messaging system that can handle huge amount of data and allows passage of messages from one end-point to another. Kafka is designed to allow a single cluster to serve as the central data backbone for a large organization. It can be elastically and transparently expanded without downtime. Data streams are partitioned and spread over a cluster of machines to allow data streams larger than the capability of any single machine and to allow clusters of coordinated consumers.

Whereas.

Apache Storm : It is a real time message processing system, and you can edit or manipulate data in real-time. Storm pulls the data from Kafka and applies some required manipulation. It makes it easy to reliably process unbounded streams of data, doing real-time processing what Hadoop did for batch processing. Storm is simple, can be used with any programming language, and is a lot of fun to use.