The invention discloses a massive data continuous analysis system suitable for stream processing, which comprises a metadata management module, a query plan generation module, a data import task generation module, an increment processing module, an MR (MapReduce) message processing module and a database connection module, wherein the metadata management module is used for managing meta-information of data tables and databases; the query plan generation module is used for receiving a query request and generating an optimal query plan; the data import task generation module is used for receiving a data import request and generating a data import MR operation set; the increment processing module is used for incrementally committing data import and query operations to a Hadoop system in parallel; the MR message processing module is used for receiving a result of a Map or Reduce function of the Hadoop system and outputting the result to a Reduce end or the next operation; and the database connection module is used as an interface between the Hadoop system and the databases. According to the invention, the Hadoop system is used for organically organizing the databases in nodes and simultaneously executing data import and data query and a pipeline technology is used for improving the MR execution flow, so that the data query is executed in a continuous stream mode and the time of analyzing massive data is greatly shortened.