It is an open-source and real-time stream processing system. Apache Storm was mainly used for fastening the traditional processes. It reliably processes the unbounded streams. It has spouts and bolts for designing the storm applications in the form of topology. Any pr ogramming language can use it. Thus, it is simple to use. It can process millions of messages within a second.
||Originally developed by LinkedIn. Then, it was donated to Apache Foundation.
||Originally created by Nathan Marz (Backtype team). Later, acquired by Twitter. Further, it became the top-level project of Apache.
||Apache Kafka is written in Scala with JVM.
||Apache Storm is written in Clojure and Java.
|Type of system
||It is a distributed messaging system.
||It is a real-time message processing system.
|Primarily used for
||It is used as a message broker. But, it also does small-batch processing.
||It is used for micro-batch stream processing.
||It maintains the local file system, such as XFS or EXT4, for storing the data.
||It does not store the data. It transfers the data from the input stream to the output stream.
||Apache Kafka depends on the zookeeper to run the Kafka server and let the consumer/producer to read/write the messages to Kafka.
||Apache Storm has no external dependency.
||The latency power of Kafka is millisecond.
||It has a latency power of less than 1-2 seconds. It is because it depends on the data source.
||Best supported by Java programming language.
||It supports all programming languages.
||Data is not highly secure.
||Data is highly secured.
||It takes data from the actual data sources such as facebook, twitter, etc.
||It fetches data from the Kafka itself for processing.
||Due to zookeeper, it is able to tolerate the faults.
||It has an in-built feature of auto-restarting.
||It is durable, scalable, as well as gives high-throughput value.
||It is easy and flexible to use.