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2016 | OriginalPaper | Chapter

3. Open Source Analytics

The Disruptive Power of Free

Author : Thomas W. Dinsmore

Published in: Disruptive Analytics

Publisher: Apress

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Abstract

In every software category, free and open source software is a growing presence. In this chapter, we define free and open source software as well as open source business models. We show that the open source business model is viable and that it disrupts incumbents in the analytic software industry.

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previous chapter A Short History of Analytics

next chapter The Hadoop Ecosystem

http://www.blackducksoftware.com/top-20-open-source-licenses

https://blog.twitter.com/2011/a-storm-is-coming-more-details-and-plans-for-release

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http://www.theinquirer.net/inquirer/news/2413132/ibm-donates-machine-learning-tech-to-apache-spark-open-source-community

Corporations may deduct the actual cost of software donated to charitable organizations. However, the Apache Software Foundation reported no non-cash contributions in 2013, the last year for which its IRS return is available.

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For more details on the two models, see The Cathedral and the Bazaar, available at http://www.catb.org/~esr/writings/cathedral-bazaar/ .

As of August 2016, H2O.ai is currently testing a new product (branded as “Steam”) which will be commercially licensed.

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http://db-engines.com/en/ranking_definition

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http://link.springer.com/article/10.1023%2FA%3A1010933404324

Title: Open Source Analytics
Author: Thomas W. Dinsmore
Publisher: Apress
Book: Disruptive Analytics
Print ISBN: 978-1-4842-1312-4

Electronic ISBN: 978-1-4842-1311-7

Copyright Year: 2016
DOI: https://doi.org/10.1007/978-1-4842-1311-7_3

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