Tableflow is a product from Confluent that simplifies the process of getting Apache Kafka data into structured tables in data lakes, such as Delta Lake and Iceberg. It eliminates the complexity of mapping, converting, and cleaning data by providing a few clicks to represent Kafka topics and their associated schemas as Iceberg or Delta Lake tables. Tableflow uses innovations in Confluent's Kora Storage Layer and a new metadata publishing service to generate Iceberg metadata and handle schema mapping, schema evolution, and type conversions. It supports integrations with various analytical tools and data lakes, including AWS Glue, Databricks Unity Catalog, Snowflake Open Catalog, and Apache Polaris. By combining Tableflow with stream processing from Apache Flink, businesses can create a unified data foundation that allows for real-time analysis and decision-making. The product is now generally available for Iceberg tables and in Early Access for Delta Lake tables.