In recent years, with the rapid development of the Internet and the Internet of Things, the mass of data in many applications will appear, and a large part of the data is in the form of streaming data. Streaming data is characterized rapid, massive, disorderly, and also requires quick response. The research shows that the traditional relational database is not suitable for the application of the streaming data. Therefore, how to develop a new type of data query system is a hot topic in the current research. In this paper, it uses the advantages of several prevalent data management systems, analyzes the key problems of the streaming data query system and consideres the definition of data interface, data preprocessing, query language definition, query execution process, system monitoring, system interface and other issues to design and implement an available streaming data query system. Finally, it evaluates the system by the specific news streaming data. The results show that the streaming data query system has a good data query performance.