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Grid Gain vs. Hadoop. Why Elephants Can't Fly
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by Dmitriy Setrakyan on May 16, 2012 | NOTICE: The next QCon is in New York Jun 10-14, Join us!

Summary
Dmitriy Setrakyan introduces GridGain, comparing it and outlining the cases where it is a better fit than Hadoop, accompanied by a live demo showing how to set up a GridGain job.

Bio

Dmitriy Setrakyan manages daily operations of GridGain Systems. His experience includes architecture and leadership in development of distributed middleware platforms, financial trading systems, CRM applications, and more. Dmitriy holds a Bachelor of Science in Computer Science from University of California at Davis specializing in Networking and Algorithms.

Software is changing the world; QCon aims to empower software development by facilitating the spread of knowledge and innovation in the enterprise software development community; to achieve this, QCon is organized as a practitioner-driven conference designed for people influencing innovation in their teams: team leads, architects, project managers, engineering directors.

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Community comments

Real world requires both by peter lin

There seems to be two camps of thought from product vendors: bring data to computation or bring computation to data. The reality is you need both. Not all computation is trivial and in many cases it isn't trivial at all. That's why many enterprise apps have some business logic in the middle tier and some in the database tier. A complete solution has to do both. Often times the data is stored in one or more data warehouse. To get the data in a usable format, often systems perform extraction and transformation before computation can occur.

Re: Real world requires both by Richard Clayton

I'm not really certain I understand what you are saying. Are you suggesting GridGain doesn't bring the process to the data?

Re: Real world requires both by peter lin

My point isn't about the features of GridGain. My point is that many software vendors claim one approach is superior to the other. In reality, there is no superior product approach. 70% of the enterprise apps I've worked required both modes: bring data to computation and bring computation to the data. I don't work for any of the data grid or compute grid vendors, so I don't believe that kind of message is beneficial to people responsible for building solutions. I'm much more interested in "how" to take all these different technologies and making them work well together.

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