Grid Clustering by Sting for Query ProcessingClustering is the division of data into similar objects. Each crowd called a cluster, consists of substances that are similar to other groups .This paper is intended to study and compare different data clustering algorithm. The performances of various clustering algorithms are compared based on time taken to form the estimated clusters. The main task is to find identify which algorithm is suitable for employed for large data sets [1] .Some conclusions that are extracted being in performance, quality, and accuracy of the clustering algorithm are also explained.