Data matching is an essential process of all enterprises which constantly acquire new data from different systems, both structured and non. This process is usually used to remove duplicates from a database or to avoid the creation of already existing accounts when no common key between the two databases exist. Since data is coming from different sources, a massive step of data cleaning and standardization is needed in order to achieve better similarity measures between records, more representative of the reality. It is also important to apply input reduction techniques, such as blocking predicates, to reduce the number of records compared, otherwise extremely large.