Kafka in the Cloud: Why it’s 10x better with Confluent | Find out more
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.
To the developer or architect seeking to provide their business with as much value as possible, what is the best way to start working with data in motion? Choosing Apache […]
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 […]
This blog post is the fourth in a four-part series that discusses a few new Confluent Control Center features that are introduced with Confluent Platform 6.2.0. It focuses on removing […]
This blog post is the third in a four-part series that discusses a few new Confluent Control Center features that are introduced with Confluent Platform 6.2.0. It focuses on inspecting […]
This blog post is the second in a four-part series that discusses a few new Confluent Control Center features that are introduced with Confluent Platform 6.2.0. This blog post focuses […]
Managing Apache Kafka® clusters can be tricky sometimes. To solve this problem, Confluent Control Center helps you easily manage and monitor your clusters and interact with other Confluent components, such […]
For a modern, software-defined business, a platform for data in motion is critical to connecting every part of a vast digital architecture across an organization to harness the flow of […]
We are pleased to announce that Confluent has been named a Strong Performer in The Forrester Wave: Streaming Analytics, Q2 2021 report (the report is available to Forrester subscribers or […]
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 […]
We’re pleased to announce ksqlDB 0.18.0! This release includes pull queries on table-table joins and support for variable substitution in the Java client and ksqlDB’s migration tool. We’ll step through […]
When self-managing Confluent, provisioning and configuring Apache Kafka® deployments along with the rest of the Confluent components involves many hurdles, such as managing infrastructure, installing software, and configuring security. And […]
To win in today’s digital-first world, businesses must deliver exceptional customer experiences and data-driven, backend operations. This requires the ability to react, respond, and adapt to a continuous, ever-changing flow […]