Confluent Tableflow offers a unified approach to connecting operational and analytical data systems by materializing Kafka topics into open table formats like Apache Iceberg and Delta Lake. Unlike traditional ETL pipelines or zero ETL solutions that create point-to-point connections, Tableflow leverages Kafka's many-to-many architecture to provide scalable, reusable data streams while maintaining real-time access and schema transformation capabilities. The solution addresses the quadratic scaling problem of zero ETL by requiring only M+N connections instead of MxN, while still enabling table-oriented access for analytical workloads.
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How Does Kafka Compare to Traditional Point-to-Point ETL?What is Zero ETL?What’s the Difference Between Tableflow and Zero ETL?Combining Tableflow and Delta Sharing to Get the Benefits of Zero ETL Plus the Power of Apache Kafka ®Sort: