Promising low cost and unheard of scalability, Hadoop has been called the next-generation platform for data processing. Check out the vendors taking Hadoop to the next level.
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Hadapt Unites Relational And Hadoop Environments Hive, the Apache data warehousing component that runs on top of Hadoop, has a reputation for being slow. Enter Hadapt, which provides an all-in-one analytics environment designed to handle analysis across data in Hadoop, as well as conventional structured data in SQL environments. Hadapt says the usual approach of using two separate systems linked with bolt-on connectors introduces delays and promotes a siloed approach. Hadapt's platform, which is designed to be run on private or public cloud environments, provides access to all data from one environment, so existing SQL-based tools can be used as well as MapReduce processes and big-data analytics. Hadapt automatically splits query execution between the Hadoop and relational database layers, providing what Hadapt describes as an optimized environment that leverages the scalability of Hadoop and the speed of relational database technology.
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