Cloud MapReduce

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Cloud MapReduce implements the MapReduce programming model on top of the Amazon cloud operating systems, using Amazon cloud services, such as SQS/S3/SimpleDB. It is faster, more scalable, yet simpler than Hadoop -- another open source implementation. If you are performing data analysis in Amazon, Cloud MapReduce is an ideal platform.

Details

Company: Accenture
Inquiry e-mail address: huan.liu@accenture.com
Amazon Web Services Used: Amazon S3, Amazon SQS, Amazon SimpleDB
Solution URL: http://code.google.com/p/cloudmapreduce
Audience: Businesses, Developers
Pricing: Free of charge
How does this application use Amazon Web Services?: Cloud MapReduce implements MapReduce using Amazon services (SQS/S3/SimpleDB)
Created On: November 10, 2009 2:40 PM GMT
Last Updated: November 12, 2009 8:59 PM GMT
Cloud MapReduce is developed at Accenture Technology Labs. It is a MapReduce implementation on top of the Amazon cloud Operating System(OS). By exploiting a cloud OS's scalability, Cloud MapReduce achieves three primary advantages over other MapReduce implementations built on a traditional OS:
  • It is faster than other implementations (e.g., 60 times faster than Hadoop in one case).
  • It is more scalable because it has no single point of bottleneck.
  • It is dramatically simpler with only 3,000 lines of code (e.g., two orders of magnitude simpler than Hadoop).
Cloud MapReduce is open sourced under Apache 2.0 license. Cloud MapReduce is built to run natively on Amazon. If you are performing data analysis in Amazon, Cloud MapReduce is an ideal platform. It is not only easy to use, but it will also give you a large performance improvement.
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