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Change data capture is a popular method to connect database tables to data streams, but it comes with drawbacks. The next evolution of the CDC pattern, first-class data products, provide resilient pipelines that support both real-time and batch processing while isolating upstream systems...
Learn how the latest innovations in Kora enable us to introduce new Confluent Cloud Freight clusters, which can save you up to 90% at GBps+ scale. Confluent Cloud Freight clusters are now available in Early Access.
Learn how to contribute to open source Apache Kafka by writing Kafka Improvement Proposals (KIPs) that solve problems and add features! Read on for real examples.
At Confluent, we’re serious about security, and we’re focused on simplifying security visibility across our cloud and on-premises solution. This blog demonstrates how to monitor Confluent Cloud authorization events using […]
Each one of the more than 50 tutorials for Apache Kafka® on Confluent Developer answers a question that you might ask a knowledgeable friend or colleague about Kafka and its […]
Event streaming applications are a powerful way to react to events as they happen and to take advantage of data while it is fresh. However, they can be a challenge […]
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 […]
Some call it a challenge. Others call it a community. Whatever you call it, 100 Days Of Code is a bunch of fun and a great learning experience that helps […]
Schema Linking is a new feature that’s available in preview for both Confluent Cloud and Confluent Platform 7.0 and can be used to complement Cluster Linking, in order to keep […]
Companies are increasingly moving to the cloud, undergoing a transition that is often a multi-year journey across incremental stages. Along this journey, many companies embrace hybrid cloud architectures, either temporarily […]
How does Confluent provide fine-grained operational visibility to our customers throughout all of the multi-tenant services that we run in the cloud? At Confluent Cloud, we manage a large number […]
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 […]
At the recent Kafka Summit, Confluent announced the general availability of Stream Governance–the industry’s only governance suite for data in motion. Offered as a fully managed cloud solution, it delivers […]