Sunday 26 June 2011

Google BigTable, MapReduce, MegaStore vs. Hadoop, MongoDB

Google BigTable, MapReduce, MegaStore vs. Hadoop, MongoDB: "Google BigTable, MapReduce, MegaStore vs. Hadoop, MongoDB:
Dhanji R. Prasanna leaving Google:


Here is something you’ve may have heard but never quite believed before: Google’s vaunted scalable software infrastructure is obsolete. Don’t get me wrong, their hardware and datacenters are the best in the world, and as far as I know, nobody is close to matching it. But the software stack on top of it is 10 years old, aging and designed for building search engines and crawlers. And it is well and truly obsolete.

Protocol Buffers, BigTable and MapReduce are ancient, creaking dinosaurs compared to MessagePack, JSON, and Hadoop. And new projects like GWT, Closure and MegaStore are sluggish, overengineered Leviathans compared to fast, elegant tools like jQuery and mongoDB. Designed by engineers in a vacuum, rather than by developers who have need of tools.



Maybe it is just the disappointment of someone whose main project was killed

. Or maybe it is true. Or maybe it is just another magic triangle:

Agility Scalability Coolness factor Triangle

Edward Ribeiro mentioned a post from another ex-Googler which points out similar issues with Google’s philosophy.


Original title and link: Google BigTable, MapReduce, MegaStore vs. Hadoop, MongoDB (NoSQL databases © myNoSQL)

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