Many teams begin their data streaming journey through their cloud provider, drawn to the simplicity of the one‑click “Create Kafka Cluster” button in their cloud console. It’s fast, feels integrated, and promises to “just work”—abstracting away all the operational tasks that only get more complicated in the cloud.
Get a peek at the key findings from the 2025 Data Streaming Report and what 4K+ IT leaders had to say about how they’re driving business value (think faster time to market and AI innovation) with data streaming platforms.
Is your data strategy keeping up with your AI ambitions? In this special episode, we unpack findings from Confluent’s 2025 Data Streaming Report—a global pulse check on how IT leaders (4,000+ to be specific) are using data streaming to drive innovation, faster time to market, and reduce costs and complexity.
This demo showcases a use case for a mortgage provider that leverages Confluent Cloud, Databricks, and AWS to fully automate mortgage applications—from initial submission to final decision and offer. New to Confluent? Experience unified Apache Kafka and Apache Flink with a free trial.
Apache Kafka has evolved from a modest project into the backbone of data streaming for thousands of organizations worldwide. Whether through open source or cloud-native solutions such as Confluent Cloud, different types of users now interact with Kafka every day.
Why replicate data across Kafka clusters? What options are out there for Kafka to Kafka replication? Adamos Loizou and Stefan Bocutiu explain the most common reasons for Kafka replication, and the principles behind our platform-neutral Kafka replicator -- Lenses K2K.