The database management systems have a long tradition in coping with these challenges. Instead of reinventing the wheel, we try to bring both world together again in a new way. We propose using current DBMS as backend to existing full text search engines as opposed to either re implementing full text search engine functionality into DBMS or re implementing core DBMS features into search engines. As a case study, we use the open source Lucene and MySQL without loss of generality. We use real world data extracted from an electronic marketplace and simulate real world workload traces in order to demonstrate that the overall system throughput and query response time do not suffer with the introduction of DBMS as a backend with their inherent overhead. In some cases, some performance indices are also improved which paves the way to using the whole spectrum of basic infrastructural facilities offered by DBMS such as recovery, automatic replication, distribution, and segmentation.