What are the characteristics of Apache Kafka?

What are the features of Kafka?

3. Top 10 Apache Kafka Features

  • a. Scalability. Apache Kafka can handle scalability in all the four dimensions, i.e. event producers, event processors, event consumers, and event connectors. …
  • b. High-Volume. …
  • c. Data Transformations. …
  • d. Fault Tolerance. …
  • e. Reliability. …
  • f. Durability. …
  • g. Performance. …
  • h. Zero Downtime.

What is Apache Kafka used for?

Apache Kafka is used for both real-time and batch data processing, and is the chosen event log technology for Amadeus microservice-based streaming applications. Kafka is also used for operational use cases such as application logs collection.

What are the advantages of using Apache Kafka?

Kafka was designed to deliver these distinct advantages over AMQP, JMS, etc.

  • Kafka is highly scalable. Kafka is a distributed system, which is able to be scaled quickly and easily without incurring any downtime. …
  • Kafka is highly durable. …
  • Kafka is Highly Reliable. …
  • Kafka Offers High Performance.

What is Apache Kafka in simple terms?

Apache Kafka is an open source stream processing program that was developed by LinkedIn but is now under the Apache foundation. It is written in Scala and Java. … In Simpler terms, Apache Kafka is a Message broker i.e. it helps transmit messages from one system to another – in real time, reliable manner.

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What are the Kafka architecture elements?

Kafka’s main architectural components include Producers, Topics, Consumers, Consumer Groups, Clusters, Brokers, Partitions, Replicas, Leaders, and Followers.

What is the role of ZooKeeper in Kafka?

Kafka uses ZooKeeper to manage the cluster. ZooKeeper is used to coordinate the brokers/cluster topology. ZooKeeper is a consistent file system for configuration information. ZooKeeper gets used for leadership election for Broker Topic Partition Leaders.

Is Kafka a framework?

Kafka is an open source software which provides a framework for storing, reading and analysing streaming data. Being open source means that it is essentially free to use and has a large network of users and developers who contribute towards updates, new features and offering support for new users.