In XML keyword search, the exact detection of user’s intention while searching, and grading of the result in the existence of query keyword ambiguities have been difficult problems. In recent times, many keyword search approaches for XML databases have been developed to resolve these problems. XML keyword search using Dual indexing and Mutual summation based Algorithm (XDMA) is one among the prominent keyword search approaches for data-centric XML Datasets. Also, it is proved that XDMA is more effective in keyword search for data-centric XML datasets. In this paper, we present precisely the uniqueness and novel features of XDMA in comparison with other keyword search approaches for XML databases.