Amazon Introduces Elastic MapReduce
Amazon Elastic MapReduce
Today, Amazon annouced the availability of it’s newest web servrice – Elastic MapReduce.
Amazon Elastic MapReduce is a web service that enables businesses, researchers, data analysts, and developers to easily and cost-effectively process vast amounts of data. It utilizes a hosted Hadoop framework running on the web-scale infrastructure of Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Simple Storage Service (Amazon S3).
Amazon Elastic MapReduce automatically spins up a Hadoop implementation of the MapReduce framework on Amazon EC2 instances, sub-dividing the data in a job flow into smaller chunks so that they can be processed (the “map” function) in parallel, and eventually recombining the processed data into the final solution (the “reduce” function). Amazon S3 serves as the source for the data being analyzed, and as the output destination for the end results.
Amazon Elastic MapReduce applications can be authored in Java, Ruby, Perl, Python, PHP, R, or C++. Elastic MapReduce applications only run on Linux/Unix instances running in the US region on EC2. Both reserved and on-demand instances are supported. If you have any on-demand instances, they will be used first.
Amazon Elastic MapReduce pricing is in addition to standard EC2 rates.
Current Amazon MapReduce Pricing
Amazon EC2 and Amazon S3 charges are billed separately. Pricing for Amazon Elastic MapReduce is per instance-hour consumed for each instance type, from the time job flow began processing until it is terminated. Each partial instance-hour consumed will be billed as a full hour.
