Streaming data technologies like Apache Kafka and AWS Kinesis are increasingly adopted across industries to enable real-time data access and decision-making. Unlike traditional data warehouses, these technologies promote decentralization, which is where the concept of a Data Mesh becomes relevant. Defined by Zhamak Dehghani, a Data Mesh is a data management architecture that decentralizes data ownership and governance, emphasizing domain ownership, data as a product, self-serve data platforms, and federated computational governance. DeltaStream offers a framework that facilitates the implementation of a Data Mesh over streaming data, enabling organizations to manage and access operational and analytical data in real-time without costly data duplication. By clearly defining data boundaries, leveraging SQL interfaces, and utilizing schema registries for governance, DeltaStream empowers organizations to securely democratize streaming data and enhance interoperability across multiple platforms, thereby optimizing the value derived from real-time data.