Open Source Tools

The Big Data Open Source Tools landscape is growing rapidly.

There are already so many open source tools related to Big Data. Check out the below figure to find out about the most important open source tools for big data. In the near future we will describe each open source tool in more detail. The open source tools landscape was updated on May 19, 2014. 

You can download the image in PDF and JPEG for personal or professional use. Please mention the source if you use the image.

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  • countly

    Great list – thanks.. You may also add Countly (http://count.ly), open source enterprise mobile analytics platform to this list, under “Data Analysis & Platforms”

    • http://www.bigdata-startups.com/ Mark van Rijmenam

      Thanks for the heads up, we’ll include it the next time we update the list.

  • Scott Reed

    Really great infographic; is there a services based download that is clickable with the underlying links?

    • http://www.bigdata-startups.com/ Mark van Rijmenam

      Currently not. You can download a .PDF of the infographic, but no links are working in that document.

  • Tim Schmidt

    Another highly scalable open source database is Riak.

    • http://www.bigdata-startups.com/ Mark van Rijmenam

      Hi Tim, thanks for your comments and the suggestions. Once we update the infographic we will take these into account.

      • Tim Schmidt

        Sorry, somehow I missed them. I can clearly see them now that you pointed them out.

  • Tim Schmidt

    Under databases, could you please add Cassandra (planetcassandra.org). They are gaining very large traction, much like MangoDB and are installed at many places like Netflix, etc. They are probably one of the most scalable NoSQL databases available.

  • Tim Schmidt

    Great work – with this infographic, you did all of the heavy lifting of putting all of the tools nicely together.

  • Tim Schmidt

    I looked at Zettaset under Data Analysis & Platforms and it says on their website, that they are open, but not open source.

  • Jonathon Liao

    People use R, and Python a lot to do big data analysis. You should add them too.


    This is exciting!!!!

  • Kash Kash

    This is lovely :D

  • Vijayakumar Ramdoss

    Good Stufs, thanks for sharing