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Amazon super-sizes instances to lure Hadoop users to Web Services

Mikael Ricknäs | April 2, 2014
Amazon Web Services hopes to entice more Hadoop users to its Elastic MapReduce service with new virtual servers, one of which has 262GB of memory and 6.4TB of storage for big-data analytics.

Rackspace has joined forces with Hadoop specialist Hortonworks to offer a service that can compete with Amazon. The Cloud Big Data Platform is currently in a so-called Limited Availability program, which is the last step before Rackspace makes a service generally available. Prospective users have two options: a shared virtual server with 2 vCPUs, 7.5GB of memory and 1.3TB of storage or a dedicated node with 16 vCPUs, 60GB of memory and 11TB of storage. They cost $0.37 per hour or $2.96 per hour, respectively.

The thinking behind all these offerings is to take care of deployment and maintenance, making it easier for organizations to start using Hadoop. Companies can then focus on the core task, analyzing and extracting value from large amounts of data.

 

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