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-infinitely. HadoopDB was built using PostGreSQL (though MySQL has also successfully been swapped in), Hadoop and Facebook's Hive implementation, according to Daniel Abadi, Yale computer science professor, whose students built this prototype."
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