New Service Utilizes Instantly Resizable Hadoop Framework on Amazon EC2 and Amazon S3 for Data-Intensive Compute Jobs
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.
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,
As used herein, “Amazon.com,” “we,” “our” and similar terms include
Amazon.com, Inc., and its subsidiaries, unless the context indicates
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.
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