What is Kafka in simple words?

What is Kafka in simple words?

Kafka is an open source software which provides a framework for storing, reading and analysing streaming data. Kafka was originally created at LinkedIn, where it played a part in analysing the connections between their millions of professional users in order to build networks between people.

How use Kafka REST API?

Getting started with Kafka and HTTP/REST Various use cases employ HTTP/REST in conjunction with Apache Kafka as a management plane or data plane. If you run Kafka, Confluent Platform, or Confluent Cloud, the REST Proxy can be used for HTTP(S) communication with your favorite client interface.

Is Kafka RESTful?

The Kafka REST Proxy provides a RESTful interface to a Kafka cluster. It makes it easy to produce and consume messages, view the state of the cluster, and perform administrative actions without using the native Kafka protocol or clients.

Is Kafka a Web service?

If you’re unfamiliar with Kafka, it’s a scalable, fault-tolerant, publish-subscribe messaging system that enables you to build distributed applications and powers web-scale Internet companies such as LinkedIn, Twitter, AirBnB, and many others.

When should I use Kafka?

Use cases

1. Messaging. Kafka works well as a replacement for a more traditional message broker.
2. Website Activity Tracking. The original use case for Kafka was to be able to rebuild a user activity tracking pipeline as a set of real-time publish-subscribe feeds.
3. Metrics.
4. Log Aggregation.
5. Stream Processing.
6. Event Sourcing.
7. Commit Log.

Who is using Kafka?

Today, Kafka is used by thousands of companies including over 60% of the Fortune 100. Among these are Box, Goldman Sachs, Target, Cisco, Intuit, and more. As the trusted tool for empowering and innovating companies, Kafka allows organizations to modernize their data strategies with event streaming architecture.

Why Kafka is so fast?

Compression & Batching of Data: Kafka batches the data into chunks which helps in reducing the network calls and converting most of the random writes to sequential ones. It’s more efficient to compress a batch of data as compared to compressing individual messages.