Real-time data is crucial across various industries, and stream processing frameworks like Apache Flink allow organizations to gain swift insights into their data. However, sharing processed data, termed as Data Products, poses challenges due to permissioning issues in systems like Kafka. Secure data sharing involves ensuring data privacy, access, and auditing, thereby enhancing collaboration and innovation. Currently, managing data authorization is a common method for secure sharing, but it involves complexities with systems like Kafka's Access Control Lists (ACLs). To address these, a higher-level data platform is needed to manage processing, access control, and sharing. Best practices include supporting both internal and third-party data sharing while employing Role-Based Access Control (RBAC) for scalability. Platforms like DeltaStream aim to improve real-time data sharing by offering an intuitive approach and leveraging RBAC, enabling secure collaboration and data governance across organizations.