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Analysing patent race in Hadoop area

We take a quick look at the US patents space for 2013. Compiling data from January to July 2013, we list below some of the key observations on patents which are leveraging Hadoop in their architecture.



It is interesting to note that Amazon, Xerox and IBM lead the race so far. While IBM is the usual leader in patent race, Amazon also springs no surprise since Hadoop and MapReduce have been a preferred choice of internet companies. It may be tempting to comment at Xerox’s jump among the race leaders but a closer look at data shows that the patents by Xerox were filed between 2007 and 2010 and have been published this year. It is no surprise though considering that some of the best minds have worked at Xerox and hadoopsphere had covered one of their unique architectures much earlier in the game.

Another surprising fact was thrown up on deeper digging of patent text. The following 4 patents were ditto similar on Hadoop usage text and had similar figures. That much for novelty and uniqueness! Again points out that US patent system is far from perfect. It is interesting to note that two organizations among these, Artificial Solutions and NewVoice Media have got major VC funding this year.
Description
Patent
Issued
Assignee
... delivering advanced natural language ...
US8346563
 1 Jan 2013
Artificial Solutions Ltd.
... optimized and distributed routing of ...
US8463939
 11 Jun 2013
Brian R. Galvin
... optimized and distributed resource management
US8386639
 26 Feb 2013
New Voice Media Limited
... automated testing of functionally complex ...
US8418000
 9 Apr 2013
True Metrics LLC



Looking at year on year comparison, it is clear that with growing awareness and popularity of Hadoop, the no. of patents leveraging Hadoop also has increased. Among the last year leaders, Facebook dominated the race.



Few notes:
1)      Data has been compiled from public patent search sources and not extracted directly from USPTO data. Count and numbers may vary.
2)     Usage of Hadoop has been interpreted based on available text and actual usage may vary in implemented systems.

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