Abstract: A method and apparatus for intelligent visual analysis and display of cross-source heterogeneous data including: when a visual display command for the target heterogeneous data is detected, creating a connector in the distributed in-memory database corresponding to each target data source where the target heterogeneous data is located via a JDBC driver; in the visual data intelligence platform, the python driver of the distributed in-memory database and the SQLAlchemy framework create the connection between the visual data intelligence platform and the distributed in-memory database, and generating SQL table building statements in the visual data intelligence platform based on the association information corresponding to the target heterogeneous data; generating the target data table with plurality of table associations in the distributed in-memory database based on the SQL table building statements; the target heterogeneous data is visualized and displayed in the visual data intelligence platform based on th