The full potential of Digital Twins (DTs) is hindered by the challenge of integrating complex engineering models with high-frequency runtime data from disparate sources. Existing approaches lack a unified mechanism to query across the boundary of static models and dynamic data, leading to fragmented and inconsistent DT systems. We introduce a hybrid query language that unifies model and data retrieval, translating queries into SPARQL for model access and SQL for data access within a single declarative statement. Our evaluation demonstrates that this approach overcomes the models-meet-data challenge by enabling scalable, near real-time queries, thereby paving the way for more robust and integrated DT applications.