ericatcw writes "'NoSQL' alternatives such as Hadoop and MapReduce may be uber-cheap and scalable, but they remain slower and clumsier to use than relational databases, say some. Now, researchers at Yale University have created a database-Hadoop hybrid that they say offers the best of both worlds: fast performance and the ability to scale out near-indefinitely. HadoopDB was built using PostGreSQL, though MySQL has also successfully been swapped in, according to Yale computer science professor Daniel Abadi, whose students built this prototype."
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