Database management systems and data mining have an increasing importance owing to the recent technological developments. In the past, data stacks storages and keeping costs were considered as an unnecessary expenditure for every company. But today data mining has a great importance from the point of view of most of the markets. Because of this situation, data analysts gained an important role in the recent years. Clustering algorithms are the mostly used algorithm types by the data analysts. This algorithm types are required to be learned by every analyst. In this article, K-Means clustering algorithm and Hierarchical clustering algorithm were applied on climate data. These algorithms were tested in MATLAB and WEKA platforms. As a conclusion, the advantages and disadvantages of MATLAB and WEKA for data mining were discussed.