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Google's BigQuery Vs. Hadoop: a Matchup
Nerval's Lobster writes "Ready to 'Analyze terabytes of data with just a click of a button?' That's the claim Google makes with its BigQuery platform. But is BigQuery really an analytics superstar? It was unveiled in Beta back in 2010, but recently gained some improvements such as the ability to do large joins. In the following piece, Jeff Cogswell compares BigQuery to some other analytics and OLAP tools, and hopefully that'll give some additional context to anyone who's thinking of using BigQuery or a similar platform for data. His conclusion? In the end, BigQuery is just another database. It can handle massive amounts of data, but so can Hadoop. It's not free, but neither is Hadoop once you factor in the cost of the hardware, support, and the paychecks of the people running it. The public version of BigQuery probably isn't even used by Google, which likely has something bigger and better that we'll see in five years or so."
I agree RE other ISPS.
You avoided my original premise: Google is too ubiquitous. They have become too powerful. Apple and Google are the new Microsoft, as much as other may want to disprove this. We are seeing a clear path towards closed-in/walled-in fiefdoms and people having to choose a "lord" to align themselves with. Why does the Internet always have to be about "monetization"? I'd like to see open, standards-compliant offerings that are truly "free" as in freedom and very low cost, offerings that are purposely disruptive to the Apple/Google duopoly. Wouldn't you? I'm hoping Firefox OS proves to be one of these. Let's hope as a non-profit, they can remain sane and not driven towards the money pit. Good tech doesn't have to be about the money. Some of the best tech is both free as in freedom and free as in beer. Look at OpenBSD, for example. Not much better in terms of a secure server environment. Same with Firefox (for now).