Confluent Blog

Every day, about 5.7 million rail passengers rely on Deutsche Bahn (DB) to get to their destination. Virtually every one of these passengers needs access to vital trip information, including […]

Potential advantages of hybrid cloud architectures include avoiding vendor lock-in, increasing system resilience, optimizing costs, and inducing price competition among cloud providers. Hybrid cloud architectures require the ability to securely […]

ksqlDB is a new kind of database purpose-built for stream processing apps, allowing users to build stream processing applications against data in Apache Kafka® and enhancing developer productivity. ksqlDB simplifies […]

Today marks a new release of KSQL, one so significant that we’re giving it a new name: ksqlDB. Like KSQL, ksqlDB remains freely available and community licensed, and you can […]

In the past 12 months, games and other forms of content made with the Unity platform were installed 33 billion times reaching 3 billion devices worldwide. Apart from our real-time […]

Kafka Connect is the part of Apache Kafka® that provides reliable, scalable, distributed streaming integration between Apache Kafka and other systems. Kafka Connect has connectors for many, many systems, and […]

Today, we are proud to make Confluent Cloud available to companies leveraging the Microsoft Azure ecosystem of services, in addition to the previous rollouts on Google Cloud Platform (GCP) and […]

The relationship between Apache Kafka® and machine learning (ML) is an interesting one that I’ve written about quite a bit in How to Build and Deploy Scalable Machine Learning in […]

I’ve written an event sourcing bank simulation in Clojure (a lisp build for Java virtual machines or JVMs) called open-bank-mark, which you are welcome to read about in my previous […]

If you’ve worked with the Apache Kafka® and Confluent ecosystem before, chances are you’ve used a Kafka Connect connector to stream data into Kafka or stream data out of it. […]