1. A method for optimizing an order of execution of multiple join operations based on at least a first data column and a second data column in a database system having multiple processing units, the method comprising: providing, by one or more processors, at least a first partitioning of the first data column, wherein said at least the first partitioning splits the first data column into a plurality of first subsets of rows, each of the first subsets of rows being correlated with a processing unit from the multiple processing units; providing, by one or more processors, at least a second partitioning of the second data column, wherein said at least the second partitioning splits the second data column into a plurality of second subsets of rows, each of the second subsets of rows being correlated with a processing unit from the multiple processing units; providing, by one or more processors, at least a first value frequency information for each processing unit from the multiple processing units, the first value frequency information indicating a frequency of attribute values within a subset of rows of the first data column processed by a respective processing unit from the multiple processing units; providing, by one or more processors, at least a second value frequency information for each processing unit from the multiple processing units, the second value frequency information indicating a frequency of attribute values within a subset of rows of the second data column processed by the respective processing unit from the multiple processing units; estimating, by one or more processors, cardinalities of sub-tables derived by a respective joining of the subset of rows of the first data column and the subset of rows of the second data column which are processed by a same processing unit from the multiple processing units, wherein estimated cardinalities of the sub-tables are based on the first and second value frequency information of the respective processing unit from the multiple processing units; and optimizing, by one or more processors, an order of execution of multiple join operations based on the estimated cardinalities of the sub-tables.