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.

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 ...

Getting the most out of any Apache Kafka event streaming deployment requires a thorough understanding of Kafka consumer groups. Here’s what you need to know.

The Apache Software Foundation has released Apache Kafka 3.3.1 with many new features and improvements. In particular, this is the first release that marks KRaft (Kafka Raft) consensus protocol as ...

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, ...

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 ...

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 ...

With its acquisition of Immerok, Confluent aims to expand data stream processing and further enable enterprise applications.