Apache Kafka vs Apache Storm

In this article, we will learn about Apache Kafka and Apache Storm. Then we will learn about the differences between Apache Kafka and Apache Storm. Now let’s go through the article to know about Apache Kafka vs Apache Storm.

Apache Kafka

Apache Kafka is an open-source tool that is used for the processing of streams. The working principle of Kafka is based on the publish-subscribe model. This platform is developed by Apache. It is used for handling of data in large volumes. It provides the processing of unstructured data in an efficient way and faster. It is often used as a mediator between the source and the destination for the processing of data streams. It is mostly used with the Java programming language.

Below is the Architectural diagram of Apache Kafka:

Apache Storm

Apache Storm is a distributed system which is used for real-time processing of data streams. It is free and open source system. It’s main functionality is to process a large amount of data at a high velocity. On medium-sized clusters, it possess the tendency to process over a million records per second per node. It’s setup can be done easily and it is easy to operate on. It provides feature of scalability and fault tolerance. It is simple to use, and it provides the capability to be used with any programming language.

Below is the Architectural diagram of Apache Kafka:

Difference between Apache Kafka and Apache Storm

The differences between Apache Storm and Apache Kafka are following:

Apache Storm	Apache Kafka
The official inventor of Storm is Twitter.	The official inventor of Kafka is LinkedIn.
It is a real time message processing platform.	It is a distributed message processing platform.
It is not used to store the data while, it acts as a mediator and transfer the data.	It is used to maintain the local file system and store the data.
It does not contain any external dependency.	It contains dependence on Zookeeper to run the Kafka server.
It provides the feature of Security.	It does not offer any security of data.
The latency power offered by Apache Storm is generally less than 1-2 seconds.	The latency power offered by Apache Kafka is generally is in milliseconds.
it provides the capability to be used with any programming language.	It is mostly used with the Java programming language.
It is easy to use and operate.	Features like scalability and durability are offered.
It is written by using language like Clojure and Java.	It is written by using language like Scala and JVM.

Conclusion

This article is about the data processing platforms. First, we learn about Apache Storm which is real-time message processing platform. It is often used as a mediator between the source and the destination for the processing of data streams. While, Apache Kafka is a distributed message processing platform. It store the data and maintain the local file system.

Frequently Asked Questions – Apache Kafka and Apache Storm

Why do we need Apache Storm?

Apache Storm is used to process real-time data in large volumes.

Is Apache Kafka a distributed message processing platform?

Yes, Apache Kafka is a distributed message processing platform.

Who invented Apache Storm?

Apache Storm was invented by Twitter.