Author: Marc Selwan

Tableflow represents Kafka topics as Apache Iceberg® (GA) and Delta Lake (EA) tables in a few clicks to feed any data warehouse, data lake, or analytics engine of your choice

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 about our vision for Tableflow, a new feature in private early access that makes it push-button simple to take Apache Kafka® data and feed it directly into your data lake, warehouse, or analytics engine as Apache Iceberg® or Delta Lake tables.

At Current 2023, we announced that Confluent Cloud is now up to 10x faster than Apache Kafka®, thanks to Kora, The Cloud-Native Kafka engine that powers Confluent Cloud. In this blog post, we will cover what that means in more depth.

As part of our series walking through how we built Confluent Cloud into a 10x better Apache Kafka® service, we explored how Confluent Cloud uses Intelligent Storage to achieve 10x […]

While Self-Balancing Clusters (SBC) perform effectively in balancing Apache Kafka® clusters, one of the common themes we hear from our users is that they would love some visibility into the […]

It’s about maintaining the right data even when no one is watching. Last year, Confluent announced support for Infinite Storage, which fundamentally changes data retention in Apache Kafka® by allowing […]

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, […]