The basic architecture and design principles of the X100 engine of the VectorWise database were well described in two Phd theses of VectorWise founders Marcin Żukowski: "Balancing Vectorized Query Execution with Bandwidth-Optimized Storage"[REF] and Sandor Héman: "Updating Compressed Column Stores",[REF] under supervision of another founder, professor Peter Boncz.
The query execution architecture makes use of "Vectorized Query Execution" processing in chunks of cache-fitting vectors of data.