Apache Kafka Developed by LinkedIn and released as open source back in 2011, Apache Kafka has spread far and wide, pretty much becoming the default choice for many when thinking about adding a ...

Originally developed at LinkedIn, Apache Kafka is one of the most mature platforms for event streaming. Kafka is used for high-performance data pipelines, streaming analytics, data integration ...

Apache Kafka is a stream-processing platform for storing, consuming, and processing data streams in real-time. In this post, we’ll learn how to produce and consume data using Kafka and Quarkus.

Apache Kafka is a distributed publish-subscribe messaging system. This article covers the architecture, features and characteristics of Kafka and how it compares with other messaging systems.

Shiny new objects are easy to find in the big data space. So when the industry’s attention shifted towards processing streams of data in real time–as opposed to batch-style processing that was popular ...

Kafka Streams, which is part of the free and open source Apache Kafka offering, provides simple stream processing capabilities, including data transformation for streaming data. Kafka Connect, ...

The company founded by Apache Kafka's creators introduces infinite data retention on its Confluent Cloud platform. As a result, the company is pushing the event streaming data technology as a ...

Apache Kafka is a key component in data pipeline architectures when it comes to ingesting data. Confluent, the commercial entity behind Kafka, wants to leverage this position to become a platform ...

Instaclustr’s Slater: Apache Kafka is fairly easy to get started with – but understanding its deeper nuances and capturing all that it has to offer can be a heck of a challenge.