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12 Amazing Free Data Analysis Software For You
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12 Amazing Free Data Analysis Software For You  
All that data you collect from users can be more useful to your enterprise than you think. Professionals use these apps to prove it.   
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Wednesday, April 16, 2014 Big data analysis is part of every big tech firm's biggest spendings nowadays. The important of the arena is growing every day, with more and more experts predicting 2014 to be the era of big data analytics. Here are some apps that come in handy for the same.

Big Data, data analysis, best data analysis tools, free data analysis tools, big data tools, big data software

1. Tanagra

TANAGRA is a free data mining software for academic and research purposes. It proposes several data mining methods from exploratory data analysis, statistical learning, machine learning and databases area. (Official Website)


KNIME [naim] is a user-friendly graphical workbench for the entire analysis process: data access, data transformation, initial investigation, powerful predictive analytics, visualisation and reporting. The open integration platform provides over 1000 modules (nodes), including those of the KNIME community and its extensive partner network. (Official Website)

3. R

R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. (Official Website)


ELKI is an open source (AGPLv3) data mining software written in Java. The focus of ELKI is research in algorithms, with an emphasis on unsupervised methods in cluster analysis and outlier detection. (Official Website)

5. Rapid Miner

This is a visual environment that contains a number of methods that are used in data mining.

6. Data Applied

Data Applied revolutionizes data-driven decision making by integrating rich analytics, data mining, and information visualization capabilities - all using a zero footprint Web interface, collaboration features, and a secure XML Web API. Deploy to the cloud or to your Intranet today! (Official Website)

7. Waffles

Waffles may be described as "machine learning meets the Unix philosophy." In contrast with other machine learning toolkits... (Sourceforge)

8. Weka

Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. (Official Website)

9. DevInfo

This is a database system that has been endorsed by the UN Development Group for managing and monitoring human development.

10. PAW

PAW is conceived as an instrument to assist physicists in the analysis and presentation of their data. It provides interactive graphical presentation and statistical or mathematical analysis, working on objects familiar to physicists like histograms, event files (Ntuples), vectors, etc. (Official Website)

11. SCaViS

SCaVis is an environment for scientific computation, data analysis and data visualization designed for scientists, engineers and students. The program incorporates many open-source software packages into a coherent interface using the concept of dynamic scripting. (Official Website)

12. ROOT

The ROOT system provides a set of OO frameworks with all the functionality needed to handle and analyze large amounts of data in a very efficient way. (Official Website)

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