Confluent Cloud Q2 '25 unifies stream and batch processing

What this post added

Introduces Snapshot Queries in Confluent Cloud for Apache Flink®, enabling batch-style queries across Kafka topics, Apache Iceberg, and Delta Lake tables via Tableflow. This allows for unified stream and batch processing using the same Flink SQL interface, with optimizations for interactive speeds on Tableflow. Also adds User-Defined Functions (UDFs) in Java for Flink on Azure, and enhances the Confluent for VS Code extension to support Flink development. Tableflow now supports Delta Lake tables in Open Preview, with planned integration for Databricks Unity Catalog. Introduces Confluent Cloud Network (CCN) routing for Flink and Schema Registry, IP Filtering for Flink and Schema Registry, and AWS PrivateLink for Schema Registry. Enterprise clusters are now available on Google Cloud, and Cross-Cloud Cluster Linking is in Limited Availability for replicating data between Kafka clusters on AWS and Azure.