Confluent Blog

I’ve always found event sourcing to be fascinating. We spend so much of our lives as developers saving data in database tables—doing this in a completely different way seems almost

To effectively use ksqlDB, the streaming database for Apache Kafka®, you should of course be familiar with its features and syntax. However, a deeper understanding of what goes on underneath

We’re pleased to announce ksqlDB 0.20.0! The 0.20 ksqlDB release includes support for the DATE and TIME data types, along with functionality for working with these types. The DATE type

We’re pleased to announce ksqlDB 0.19.0! This release includes a new NULLIF function and a major upgrade to ksqlDB’s data modeling capabilities—foreign-key joins. We’re excited to share this highly requested

Companies adopt streaming data and Apache Kafka® because it provides them with real-time information about their business and customers. In practice, the challenge is that this information is spread across

Making changes to a database schema is a natural part of software development. Often, it’s important to carefully manage the timing of changes and keep track of them over time.

Stream processing has become an important part of the big data landscape, a new programming paradigm bringing asynchronous, long-lived computations to unbounded data in motion. But many people still think

What if I told you there is a query your database can’t answer? That would probably surprise you. With decades of effort behind them, databases are one of the most

This is part two in a blog series on streaming a feed of AIS maritime data into Apache Kafka® using Confluent and how to apply it for a variety of

One of the canonical examples of streaming data is tracking location data over time. Whether it’s ride-sharing vehicles, the position of trains on the rail network, or tracking airplanes waking