Stream Processing

Imagine that you have real-time data about what’s happening in the stock market, and you want to support a large number of customized dashboards displaying the data as it comes […]

We’re pleased to announce ksqlDB 0.22.0! This release includes source streams and source tables as well as improved pull query (for key-range predicates) and push query performance. All of these […]

There’s a philosophical puzzle of the Ship of Theseus where throughout a long voyage planks in a ship are individually replaced as they begin to rot. At the end, there […]

Classic relational database management systems (RDBMS) distribute and organize data in a relatively static storage layer. When queries are requested, they compute on the stored data and then return results […]

SQL has proven to be an invaluable asset for most software engineers building software applications. Yet, the world as we know it has changed dramatically since SQL was created in […]

What will the next important category of databases look like? For decades, relational databases were the undisputed home of data. They powered everything: from websites to analytics, from customer data […]

Kafka Streams is an abstraction over Apache Kafka® producers and consumers that lets you forget about low-level details and focus on processing your Kafka data. You could of course write […]

We’re pleased to announce ksqlDB 0.21.0! This release includes a major upgrade to ksqlDB’s foreign-key joins, the new data type BYTES, and a new ARRAY_CONCAT function. All of these features […]

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 […]