In-memory database systems pursue a main memory-centric architecture approach and
assume that all relevant data (base data as well as intermediates) can be fully kept in the
main memory of a computer or of a computer network. For OLAP workloads, in-memory
column store systems are perfectly suited, because relational tables are organized by
column rather than by row and based on that, queries only need to read relevant data
columns. In these systems, lightweight integer compression algorithms already play an …