Why shift from a SQL database to NoSQL/Graph database?
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For sometime many people have been talking about NoSQL and graph database systems. I only understand one part of the whole story that they are better for 'big data'.
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Answer:
I'd encourage you to not solely think about NoSQL technologies as a function of "big" data volumes. It is really about matching the compute challenge to what is the most native way to solve it. In this case the data may not be "big" but it can be very compute intensive. Technologies like Neo4J have been build specifically for these types of relationship identification problems and are quite good at it. Not the only way to go, but worth considering. I wrote an entry level primer here on the notion of more tightly coupling the compute problem with a technology specifically designed to handle it; http://ibmdatamag.com/2012/04/introducing-fit-for-purpose-architectures/
Tom Deutsch at Quora Visit the source
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