The software usually used for big data mining are:

1.RapidMiner is powerful, it provides excellent data mining functions, in addition to providing such functions as data preprocessing and visualization, predictive analytics and statistical modeling, evaluation and deployment.

2.R, short for R-programming, collectively referred to as R. As a free software for programming languages and software environments for statistical computation and graphing, it is mainly written in C and FORTRAN, and many modules are written in R, which is a great feature of R

3.WEKA supports a wide range of standard Data mining tasks, including data preprocessing, collection, classification, regression analysis, visualization, and feature selection, are versatile enough to allow it to be used in a wide range of different applications - including data analysis as well as visualization and algorithms for predictive modeling.

4. Orange is a powerful open source tool based on the Python language. If you happen to be a Python developer, Orange will be your first choice when looking for an open source data mining tool.

5. KNIME is an open source data analysis, reporting and synthesis platform, but also through its modular data streaming type concept, integrated with a variety of machine learning components and data mining.

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