Suggestion: Read the source cited in the piece (Score 1)

@CmdrTaco, et al., You might go to the 'in-depth guide" Olhorst mentions [http://www.pwc.com/us/en/technology-forecast/2010/issue3/index.jhtml], and assess that separately. We did a lot of research with the CIO and the rest of the C-suite in mind as a target audience. Of course Google has moved on beyond Bigtable, etc.... According to @royans [http://www.royans.net/arch/pregel-googles-other-data-processing-infrastructure/], Google uses Pregel to mine graphs. Allegedly 20% of their data they mine with Pregel; the other 80% they mine with MapReduce. Two of the Google engineers presented on Pregel at SIGMOD in June. In other words, these companies are developing and using different methods to mine different kinds of data. Much of the tool innovation happens at the companies doing the mining. @BitZstream, et al., Try to step back a bit and think about the frogs in the ponds next to yours. There is life beyond SQL and relational data. IT departments at large enterprises, particularly those with a significant Web presence or large collections of less-structured data, are using Hadoop, and we cite some of them in the issue. Others we have spoken to since we published in the Spring. Hadoop is a true ecosystem with lots of developers who've been plugged in for years, and they work at Web scale. Yes, the challenge of operating at Web scale is not a challenge everyone has, but it's a challenge more will face. @AlanMorrison