Clustering can be done for static as well as dynamic dataset. Clustering is performed on the basis of underlying data structure and data distribution. The data distribution varies with respect to time. Hence there need to be a smooth change in underlying cluster model with respect to time. The clustering techniques of numerical dataset are different than Categorical dataset. This works aim to study various clustering techniques for streaming data with respect to the numerical and Categorical dataset.