Tableflow is a product developed by Confluent to simplify the process of representing Apache Kafka topics as open table formats such as Apache Iceberg, making it easy for data lakes and warehouses like Snowflake to access real-time data. The goal is to bridge the gap between operational data flowing through Kafka and analytical AI and machine learning ecosystems. With Tableflow, users can eliminate complex ETL pipelines and automate the process of converting Kafka segments into Iceberg tables, which are then written directly to cloud object storage such as Amazon S3. This enables real-time analytics without requiring custom pipelines or ETL processes. The product integrates seamlessly with Snowflake Open Catalog, allowing users to discover, manage, and govern Iceberg table metadata in a centralized manner. By leveraging Tableflow, organizations can accelerate time-to-insight, reduce costs, and enhance collaboration among analysts, data scientists, and business users. The integration also unlocks transformative possibilities across industries, such as real-time customer interactions for personalization, IoT sensor data for predictive maintenance, and more. Confluent continues to invest in Tableflow, enhancing its capabilities and performance based on customer feedback and evolving market needs.