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.
Today’s consumers have the entire world at their fingertips and hold an unforgiving expectation for end-to-end real-time brand experiences. This has become table stakes. If they have any need, it’s […]
For businesses to survive and thrive in today’s digital-first world, it’s become table stakes to offer rich, digital customer experiences and leverage data-driven, backend operations. Delivering on these initiatives requires […]
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 […]
Data is the lifeblood of so much of what we build as software professionals, so it’s unsurprising that operations involving its transfer occupy the vast majority of developer time across […]
In Data Science projects, we distinguish between descriptive analytics and statistical models running in production. Overall, these can be seen as one process. You start with analyzing historical data to […]
Kafka Summit, now in its sixth year, is coming to Asia-Pacific! After launching in the U.S. in 2016 and in Europe in 2018, Kafka Summit APAC will feature speakers and […]
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. […]
I’m excited to announce that Confluent was presented with the Databricks ISV Momentum Award at the Databricks Partner Executive Summit last month. This award is given to the partner whose […]
Today, Confluent became a publicly traded company. This is a big milestone in the short life of our company. To the employees, customers, partners, investors, and the larger developer community […]
Al data til folket (all data to the people) is a compelling proposition in an enterprise context. Yet the ability to quickly address integration challenges and deliver data to those […]
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 […]