Helpful guidelines

What are the features of Kafka?

What are the features of Kafka?

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.

Is Kafka good for real-time?

Kafka is real-time! Kafka provides capabilities to process trillions of events per day. Each Kafka broker (= server) can process tens of thousands of messages per second. End-to-end latency from producer to consumer can be as low as ~10ms if the hardware and network setup are good enough.

What is special about 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. Apache Kafka is able to handle many terabytes of data without incurring much at all in the way of overhead.

What is Kafka in simple words?

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.

What is Kafka and functionality?

Kafka is primarily used to build real-time streaming data pipelines and applications that adapt to the data streams. It combines messaging, storage, and stream processing to allow storage and analysis of both historical and real-time data.

Is Kafka hard to set up?

IS IT EASY? Unfortunately, it’s not. For those who are new to Kafka, it can be difficult to grasp the concept of Kafka brokers, clusters, partitions, topics, and logs. You’ll also need to pick up how producers and consumers store and retrieve messages on Kafka clusters.

Where should you not use Kafka?

For certain scenarios and use cases, you shouldn’t use Kafka:

  1. If you need to have your messages processed in order, you need to have one consumer and one partition.
  2. If you need to implement a task queue because of the same reason in the preceding point.

What is Kafka architecture?

Kafka architecture is built around emphasizing the performance and scalability of brokers. This leaves producers to handle the responsibility of controlling which partition receives which messages. A hashing function on the message key determines the default partition where a message will end up.