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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Amazon Delivers MapReduce As A Service No Johnny come lately to Hadoop, Amazon Web Services introduced Amazon Elastic MapReduce way back in 2009. So Amazon has intimate knowledge of Hadoop demand and applications, from the newbies running pilot projects to grizzled veterans tapping Elastic MapReduce for additional capacity as on-premise deployments hit demand overloads.
Elastic MapReduce is a rapidly scalable Web service that runs on the Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Simple Storage Service (Amazon S3). This is no false cloud: you can instantly provision as much capacity as need for data-intensive tasks such as Web indexing, data mining, log file analysis, machine learning, financial analysis, scientific simulation, and bioinformatics research.
Beyond data processing, you can also use a services-based version of Karmasphere Analyst, a visual workspace for analyzing data on Amazon Elastic MapReduce. Karmasphere provides visual tools to use SQL and other languages to do ad-hoc queries and analyses of structured and unstructured data located on Amazon S3, Amazon Elastic MapReduce job flows, or local file systems. You also can also extract result files for use in with databases or tools such as Microsoft Excel or Tableau.