Disclosed herein are a data consistency verification method and a system therefor, which are capable of efficiently verifying consistency of a large amount of data while minimizing a load of a source database by collecting and analyzing patterns of data changes in the source database, classifying the patterns of data changes into a time value or a numerical value range of a data change column, and grouping and comparing the classified patterns of data changes. The data consistency verification system includes a change data extraction part configured to extract packets between a client and an operating server which operates a source database, or extract change data from a transaction log or trigger information, a pattern analyzer configured to analyze a pattern of the change data extracted by the change data extraction part to generate data manipulation language (DML) change pattern bit set data storing change information, a rule engine module configured to determine a rule from the DML change pattern bit set data to generate a consistency profile, and a consistency execution module configured to perform consistency verification according to the consistency profile of the rule engine module. In accordance with the present invention, there is an effect of being capable of efficiently verifying consistency of a large amount of data while minimizing a load of a source database by tracking patterns of data changes in the source database and grouping and comparing regions in which a change largely occurs. Further, in accordance with the present invention, even when a task is being performed in a target database, data consistency is identically maintained as in the source database, there is an advantage of being capable of rapidly accurately processing a task.