Integrating relational database temporal tables with a distributed programming environment

Certain aspects of the present disclosure provide techniques for identifying temporal data in data streams to create a temporal database for a stream(s) application to query for temporal data. An example technique includes receiving streams of data at a streams engine and processing the streams of data according to a priority order. The streams engine identifies whether the database is a temporal database and identifies temporal data in each stream of data based on frame analysis, natural language processing techniques, metadata, and optical character recognition. Further, the streams engine generates context data corresponding to the temporal data. The streams engine generates a temporal data record based on the temporal data and context data, and the streams engine generates a reliability factor. The temporal data record and reliability factor are stored in the temporal database for a stream application to query regarding temporal information at a later point in time.