Confluent Blog

Organizations define standards and policies around the usage of data to ensure the following: Data quality: Data streams follow the defined data standards as represented in schemas Data evolvability: Schemas

With the release of Confluent Platform 6.0, we officially made Tiered Storage generally available. At launch, we supported two major cloud-specific object stores: Amazon S3 and Google Cloud Storage. Today,

Apache Kafka® scales well. A Kafka cluster can grow to tens or hundreds of brokers and easily sustain tens of GB per second of read and write traffic. But scaling

With the release of Confluent Platform 6.0 comes a preview of Confluent Cluster Linking available to self-managed customers and in Confluent Cloud for our early access partners. Cluster Linking is

Each month, we’ve announced a set of Confluent features organized around what we think are the key foundational traits of cloud-native data systems as part of Project Metamorphosis. Data systems

Are you looking for a way to run AWS services on premises in your own datacenter? I am excited to share today that we have completed validation of support for

This article describes why Bolt, the leading European on-demand transportation platform that operates across ride-hailing, food delivery, and e-mobility sectors, has journeyed toward adopting change data capture (CDC). Adopting CDC

In the article Should You Put Several Event Types in the Same Kafka Topic?, Martin Kleppmann discusses when to combine several event types in the same topic and introduces new

We kicked off Project Metamorphosis last month by announcing a set of features that make Apache Kafka® more elastic, one of the most important traits of cloud-native data systems. This

Over a year ago, Confluent set out on a mission to improve user experience by empowering developers, operators, and architects with intuitive command line interfaces (CLIs) for managing their Confluent