Why don't Kafka and Iceberg get along?

Apache Kafka and Apache Iceberg face challenges in integration due to the costly and complex process required to convert Kafka messages into Iceberg tables. This process involves multiple stages, resulting in high expenses and operational burdens. The current solutions, such as community connectors or proprietary services, either lack robustness or result in vendor lock-in, leading to inefficiencies and high costs. The article argues for a unified approach that would allow Kafka topics to natively become Iceberg tables without the need for additional connectors or storage, creating a seamless and cost-effective integration. This vision aligns with the growing trend towards using cloud object stores and aims to leverage Kafka's extensive user base to drive the adoption of this more streamlined, open-source solution. The ultimate goal is to eliminate the fragmented landscape of proprietary solutions, reduce costs, and enhance the accessibility and functionality of real-time data processing.

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