Confluent Blog

One of the most common integrations that people want to do with Apache Kafka® is getting data in from a database. That is because relational databases are a rich source

If you’ve already started designing your real-time streaming applications, you may be ready to test against a real Apache Kafka® cluster. To make it easy to get started with your

Kafka Connect is part of Apache Kafka®, providing streaming integration between data stores and Kafka. For data engineers, it just requires JSON configuration files to use. There are connectors for

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,

Today we’re delighted to announce the launch of Confluent Hub. Confluent Hub is a place for the Apache Kafka and Confluent Platform community to come together and share the components

The following post is a guest blog from Tushar Sudhakar Jee, Software Engineer,  Levyx  responsible for Kafka infrastructure. You may find this post also on Levyx’s blog. Abstract As part

One of the most frequent questions and topics that I see come up on community resources such as StackOverflow, the Confluent Platform mailing list, and the Confluent Community Slack group,

We saw in the earlier articles (part 1, part 2) in this series how to use the Kafka Connect API to build out a very simple, but powerful and scalable, streaming

In the previous article in this blog series I showed how easy it is to stream data out of a database into Apache Kafka®, using the Kafka Connect API. I

This short series of articles is going to show you how to stream data from a database (MySQL) into Apache Kafka® and from Kafka into both a text file and Elasticsearch—all