Confluent Blog

Confluent’s own Bill Bejeck has recently completed Kafka Streams in Action, a book about building real-time applications and microservices with the Kafka Streams API. The book is scheduled to be available […]

Using KSQL, the SQL streaming engine for Apache Kafka®, it’s straightforward to build streaming data pipelines that filter, aggregate, and enrich inbound data. The data could be from numerous sources, […]

Confluent Cloud™ is a fully-managed streaming data service based on open-source Apache Kafka. With Confluent Cloud, developers can accelerate building mission-critical streaming applications based on a single source of truth. […]

In the previous article, we saw how syslog data can be easily streamed into Apache Kafka® and filtered in real time with KSQL. In this article, we’re going to see how […]

Syslog is one of those ubiquitous standards on which much of modern computing runs. Built into operating systems such as Linux, it’s also commonplace in networking and IoT devices like […]

Life would be simple if data lived in one place: one single solitary database to rule them all. Anything that needed to be joined to anything could be with a […]

We are pleased to announce the release of KSQL v0.5, aka the February 2018 release of KSQL. This release is focused on bug fixes and as well as performance and stability […]

In this blog post, we first look at stream processing examples using KSQL that show how companies are using Apache Kafka® to grow their business and to analyze data in […]

In this post I’m going to show what streaming ETL looks like in practice. We’re replacing batch extracts with event streams, and batch transformation with in-flight transformation. But first, a […]

We are pleased to announce the release of KSQL 0.4, aka the January 2018 release of KSQL. As usual, this release is a mix of new features as well as […]