SEATTLE--(BUSINESS WIRE)--Apr. 2, 2009-- Amazon Web Services LLC (AWS), a subsidiary of Amazon.com, Inc. (NASDAQ: AMZN), today announced the public beta of Amazon Elastic MapReduce, 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). Using Amazon Elastic MapReduce, you can instantly provision as much or as little capacity as you like to perform data-intensive tasks for distributed applications such as web indexing, data mining, log file analysis, machine learning, financial analysis, scientific simulation, and bioinformatics research. As with all AWS services, Amazon Elastic MapReduce customers will still only pay for what they use, with no up-front payments or commitments. To sign up for Amazon Elastic MapReduce and other AWS services, go to http://aws.amazon.com.

Prior to Amazon Elastic MapReduce, running Hadoop or other MapReduce-based clusters required time-consuming set-up, management, and cluster tuning. Now, Amazon Elastic MapReduce makes it more affordable and less time consuming to run parallel compute jobs, building on top of the on-demand, resizable compute capacity of Amazon EC2. Using this service, customers can spin up and tear down Hadoop clusters on Amazon EC2 on a moment’s notice. To assist customers in executing these highly distributed applications, AWS is providing a number of sample applications and tutorials to get started using Amazon Elastic MapReduce.

“Some researchers and developers already run Hadoop on Amazon EC2, and many of them have asked for even simpler tools for large-scale data analysis,” said Adam Selipsky, Vice President of Product Management and Developer Relations for Amazon Web Services. “Amazon Elastic MapReduce makes crunching in the cloud much easier as it dramatically reduces the time, effort, complexity and cost of performing data-intensive tasks.”

Amazon Elastic MapReduce creates data processing job flows that are executed by Hadoop software on the web-scale infrastructure of Amazon EC2. The service automatically launches and configures the number and type of Amazon EC2 instances specified by customers. It then kicks off a Hadoop implementation of the MapReduce programming model, which loads large amounts of user input data from Amazon S3 and then subdivides it for parallel processing using Amazon EC2 instances. As processing completes, data is re-combined and reduced into a final solution, and the results deposited back into Amazon S3. Users can configure, manipulate, and monitor job flows through web service APIs or via the AWS Management Console.

“Netflix is continually pursuing new technologies that extend our ability to deliver the best movie rental experience to our more than 10 million subscribers. Amazon Elastic MapReduce provides a powerful capability on top of the already robust Amazon Web Services technology platform. We’re enthused about the potential for this new technology to provide an even better experience to our members,” said Netflix Chief Product Officer Neil Hunt.

"MapReduce is a key component of our matching infrastructure," said eHarmony Vice President of Technology Joseph Essas. "Amazon Elastic MapReduce cuts down on configuration and management time, making the entire process much more efficient."

About Amazon EC2

Amazon Elastic Compute Cloud (http://aws.amazon.com/ec2) is a web service that provides resizable compute capacity in the cloud. Amazon EC2's simple web service interface allows businesses to obtain and configure capacity with minimal friction. It provides complete control of your computing resources and lets you run on Amazon's proven computing environment. Amazon EC2 reduces the time required to obtain and boot new server instances to minutes, allowing you to quickly scale capacity, both up and down, as your computing requirements change. Amazon EC2 changes the economics of computing by allowing you to pay only for capacity that you actually use.

About Amazon S3

Amazon S3 is storage for the Internet. It is designed to make web-scale computing easier for developers. Amazon S3 provides a simple web services interface that can be used to store and retrieve any amount of data, at any time, from anywhere on the web. It gives any developer access to the same highly scalable, reliable, fast, inexpensive data storage infrastructure that Amazon uses to run its own global network of web sites. The service aims to maximize benefits of scale and to pass those benefits on to developers.

About Amazon.com

Amazon.com, Inc. (NASDAQ: AMZN), a Fortune 500 company based in Seattle, opened on the World Wide Web in July 1995 and today offers Earth's Biggest Selection. Amazon.com, Inc. seeks to be Earth's most customer-centric company, where customers can find and discover anything they might want to buy online, and endeavors to offer its customers the lowest possible prices. Amazon.com and other sellers offer millions of unique new, refurbished and used items in categories such as Books; Movies, Music & Games; Digital Downloads; Electronics & Computers; Home & Garden; Toys, Kids & Baby; Grocery; Apparel; Shoes & Jewelry; Health & Beauty; Sports & Outdoors; and Tools, Auto & Industrial.

Amazon Web Services provides Amazon’s developer customers with access to in-the-cloud infrastructure services based on Amazon's own back-end technology platform, which developers can use to enable virtually any type of business. Examples of the services offered by Amazon Web Services are Amazon Elastic Compute Cloud (Amazon EC2), Amazon Simple Storage Service (Amazon S3), Amazon SimpleDB, Amazon Simple Queue Service (Amazon SQS), Amazon Flexible Payments Service (Amazon FPS), Amazon Mechanical Turk and Amazon CloudFront.

Amazon and its affiliates operate websites, including www.amazon.com, www.amazon.co.uk, www.amazon.de, www.amazon.co.jp, www.amazon.fr, www.amazon.ca, and www.amazon.cn.

As used herein, “Amazon.com,” “we,” “our” and similar terms include Amazon.com, Inc., and its subsidiaries, unless the context indicates otherwise.

Forward-Looking Statements

This announcement contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934. Actual results may differ significantly from management's expectations. These forward-looking statements involve risks and uncertainties that include, among others, risks related to competition, management of growth, new products, services and technologies, potential fluctuations in operating results, international expansion, outcomes of legal proceedings and claims, fulfillment center optimization, seasonality, commercial agreements, acquisitions and strategic transactions, foreign exchange rates, system interruption, indebtedness, inventory, government regulation and taxation, payments and fraud. More information about factors that potentially could affect Amazon.com's financial results is included in Amazon.com's filings with the Securities and Exchange Commission, including its most recent Annual Report on Form 10-K and subsequent filings.

Source: Amazon.com, Inc.

Amazon.com, Inc.
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