Starburst + Confluent Tableflow

Starburst has announced its support for Confluent Tableflow, enhancing its capabilities in transforming streaming data into queryable datasets by integrating Apache Iceberg with Apache Kafka. This collaboration aims to address the challenges of managing streaming data by converting Kafka topics into structured tables stored in Iceberg or Delta Lake formats, facilitating analytics and AI workloads without the need for complex ETL pipelines. Tableflow, available on AWS and soon on Azure and GCP, streamlines the process of mapping, converting, and cleansing high-throughput data, while offering features like schema evolution and catalog syncing. This initiative strengthens Starburst's commitment to open data architecture and its Iceberg-based Icehouse framework, promoting seamless data access for analytics and AI applications.