Confluent Blog

The global video game market is bigger than the music and film industry combined. It includes Triple-A, casual/mid-core, mobile, and multiplayer online games. Various business models exist, such as hardware

Wildlife monitoring is critical for keeping track of population changes of vulnerable animals. As part of the Confluent Hackathon ʼ22, I was inspired to investigate if a streaming platform could

Serverless stream processing with Apache Kafka® is a powerful yet often underutilized field. Microsoft’s Azure Functions, in combination with ksqlDB and Confluent’s sink connector, provide a powerful and easy-to-use set

We are excited to announce the ksqlDB 0.27.1 release! This iteration brings forth new functionality for dynamic data access against multi-schema topics, a host of improvements relating to working with

We are pleased to announce the release of Confluent Platform 7.2. With this release, we are further simplifying management tasks for Apache Kafka® operators, providing even more flexible options to

We are excited to bring forward yet another ksqlDB release with ksqlDB 0.26. This time we have focused on improving your experience with aggregate functions, JOINs, and schemas. We have

With more data being produced in real time by many systems and devices than ever before, it is critical to be able to process it in real time and get

We are thrilled to announce ksqlDB 0.25! It comes with a slew of improvements and new features. In particular, we improved how UDAFs work with complex types like Structs and

Streaming data has become critical to the success of modern businesses. Leveraging real-time data enables companies to deliver the rich, digital experiences and data-driven backend operations that delight customers. For

From fraud detection and predictive analytics, to real-time customer experiences and cyber security, stream processing has countless benefits for use cases big and small. By unlocking the power of continuous