DeltaStream has chosen Apache Flink as its foundational engine for stream processing due to its scalability, efficiency, and robust open-source community, which supports a wide array of use cases, from anomaly detection to IoT and machine learning. Flink's flexibility is augmented by its rich connector ecosystem, facilitating seamless integration with various data infrastructures, while its performance is enhanced by low-latency, scalability, and fault tolerance features. However, Flink's complexity and operational challenges can be daunting, prompting DeltaStream to develop a serverless platform that simplifies stream processing through an extended SQL grammar and a modern user interface. This platform lowers the barrier to entry by abstracting away Flink's complexities, supports real-time materialized views, and offers features like secure data sharing and role-based access control. DeltaStream's enhancements aim to offer an intuitive and efficient experience for managing streaming data, while allowing users to leverage Flink's capabilities without the steep learning curve typically associated with distributed processing systems.