New capability allows Amazon Redshift customers
to run analytic queries quickly and inexpensively against exabytes
of data in Amazon S3
Today, Amazon Web Services, Inc. (AWS), an Amazon.com company
(NASDAQ: AMZN), announced Amazon Redshift Spectrum, a new feature
that allows Amazon Redshift customers to run SQL queries against
exabytes of their data in Amazon Simple Storage Service (Amazon
S3). With Redshift Spectrum, customers can extend the analytic
power of Amazon Redshift beyond data stored on local disks in their
data warehouse to query vast amounts of unstructured data in their
Amazon S3 “data lake” – without having to load or transform any
data. Redshift Spectrum applies sophisticated query optimization,
scaling processing across thousands of nodes so results are fast –
even with large data sets and complex queries. To get started with
Redshift Spectrum, visit
https://aws.amazon.com/redshift/spectrum.
Amazon Redshift is one of AWS’s fastest-growing services because
it allows customers to perform complex queries on petabytes of
structured data stored on high-performance local disks and get
superfast performance – all for a tenth of the cost of traditional
data warehouses. However, as the cost of data storage has continued
to drop, customers are increasingly storing vast amounts of data in
Amazon S3 “data lakes,” including unstructured data that may never
make it into a data warehouse. Now, with Redshift Spectrum,
analyzing all of this data is as easy as running a standard Amazon
Redshift SQL query. Redshift Spectrum directly queries data in
Amazon S3, with no loading or transformation required, using the
open data formats customers already use, including CSV, TSV,
Parquet, Sequence, and RCFile. Since Redshift Spectrum supports the
same SQL syntax of Amazon Redshift, customers can run sophisticated
queries using the same Business Intelligence (BI) tools they do
today. They can also run queries that span both the frequently
accessed data stored locally in Amazon Redshift and their full data
sets stored cost-effectively in Amazon S3. Redshift Spectrum
automatically scales query compute capacity based on the data being
retrieved, so queries against Amazon S3 data run fast, whether
processing just a few terabytes, petabytes, or even exabytes.
“Customers such as Amgen, Boingo Wireless, Electronic Arts,
Hearst, Lyft, Nasdaq, Scholastic, TripAdvisor, and Yahoo! are
migrating to Amazon Redshift in droves because it leverages the
scale of AWS to analyze petabytes of data with ten times the
performance at one-tenth the cost of old guard data warehouses.
Many of these customers have asked us to extend the speed and
flexibility of Amazon Redshift beyond the data warehouse to analyze
all of the data they have in Amazon S3,” said Raju Gulabani, Vice
President, Databases, Analytics, and AI, AWS. “Redshift Spectrum
does just this, offering the best of both worlds by making it
incredibly easy to query exabytes of data in Amazon S3 directly
from Amazon Redshift. We’re excited to now make exabyte-scale
analytics fast, simple and accessible to companies of all
sizes.”
Tokyo-based NTT DOCOMO is the largest mobile service provider in
Japan, serving more than 68 million customers. “Our data analysis
platform collects tens of terabytes of log data each day from a
variety of internal and external sources to help us improve our
logistics and marketing operations. Migrating to Amazon Redshift
two years ago allowed us to scale to over ten petabytes of
uncompressed data with a ten times performance improvement over our
prior on-premises system,” said Mick Etoh, Senior Vice President
and General Manager of Innovation Management Department, NTT
DOCOMO. “Redshift Spectrum will let us expand the universe of
the data we analyze to 100s of petabytes over time. This is truly a
game changer, and we can think of no other system in the world that
can get us there.”
Time Inc. is a leading content company that engages over 150
million consumers every month through its portfolio of premium
brands across platforms. “As a media company, we receive a large
quantity of data from a number of ad serving providers. This data
comes in a variety of formats and needs to be integrated with our
own internal systems in order for our teams to be able to analyze
it,” said Vladimir Barkov, Director of Data Architecture and
Engineering at Time Inc. “Redshift Spectrum enables us to directly
operate on our data in its native format in Amazon S3 with no
preprocessing or transformation. Our data pipeline is much simpler
now, and our execution time has been lowered significantly.”
Edmunds offers detailed, constantly updated information about
vehicles to 20 million monthly visitors. “Amazon Redshift’s
scalability allows us to support our ever-growing data volumes,
unlike our previous, on-premises data warehouse solution,” said
Ajit Zadgaonkar, Edmunds’s Executive Director of Operations and
Infrastructure. “With Redshift Spectrum, we no longer need to think
about what data to retain for analysis and what to throw away. We
can now run real SQL queries directly on many years of data stored
cost-effectively in Amazon S3. Redshift Spectrum’s fast performance
across massive data sets is unprecedented.”
Redfin is the next-generation real estate brokerage, combining
its own full-service agents with modern technology to redefine real
estate in the consumer’s favor across more than 80 metros in the
US. “With millions of users and hundreds of millions of property
listings, our website and internal systems generate a vast amount
of data. Our data analytics platform has been built from the ground
up on AWS, using Amazon S3 for storage, Amazon Kinesis for
streaming, Amazon EMR for data processing and real-time
applications, and Amazon Redshift for data warehousing,” said Yong
Huang, Director of Big Data and Analytics at Redfin. “We love
Redshift Spectrum because it allows us to directly and flexibly
query our most up-to-date data coming from many different complex
pipelines in many different file formats. Our data science team
using Amazon EMR can now collaborate with our marketing and product
teams using Redshift Spectrum to analyze the same Amazon S3 data
sets.”
Yelp connects people with great local businesses and provides
them with in-depth reviews across 32 countries. “Yelp generates
billions of analytics events every day across our 24 million
average monthly mobile app unique users, 65 million average monthly
mobile web unique visitors, and 73 million average monthly desktop
unique visitors as of December 31, 2016. Our shift to mobile has
stressed our analytics infrastructure, as our mobile app users have
ten times more engagement than our website users,” said Justin
Cunningham, Technical Lead in the Software Engineering team at
Yelp. “Redshift Spectrum unlocks analytic access to our Amazon S3
data, reducing the time-to-insight across large data sets to
seconds. It will enable many more use cases than we serve today –
multiple teams can now query the same Amazon S3 data sets using
both Amazon Redshift and Amazon EMR.”
Recruit Technologies operates some of the most popular media
brands and advertising properties in Japan. “Our web and mobile
properties that are provided by Recruit’s subsidiaries generate
billions of events per day which we analyze to improve our
business, including marketing, business planning, and product
enhancements. We migrated to Amazon Redshift in 2015 to keep up
with the explosion of data in our business,” said Satoshi Honmura,
Group Manager of Data Management at Recruit Technologies. “Redshift
Spectrum will help us scale yet further while also lowering our
costs. Now, our data scientists can run sophisticated queries
against many years of historical data in Amazon S3, paying just for
the queries they run, while our hundreds of business users can
continue to use Redshift local storage to deliver blazingly fast
performance against more recent data.”
Customers can start using Redshift Spectrum using the AWS
Management Console. Amazon Redshift Spectrum is available in the US
East (N. Virginia), US East (Ohio), and US West (Oregon) Regions
and will expand to additional Regions in the coming months.
About Amazon Web Services
For 11 years, Amazon Web Services has been the world’s most
comprehensive and broadly adopted cloud platform. AWS offers over
90 fully featured services for compute, storage, networking,
database, analytics, application services, deployment, management,
developer, mobile, Internet of Things (IoT), Artificial
Intelligence (AI), security, hybrid, and enterprise applications,
from 42 Availability Zones (AZs) across 16 geographic regions in
the U.S., Australia, Brazil, Canada, China, Germany, India,
Ireland, Japan, Korea, Singapore, and the UK. AWS services are
trusted by millions of active customers around the world –
including the fastest growing startups, largest enterprises, and
leading government agencies – to power their infrastructure, make
them more agile, and lower costs. To learn more about AWS,
visit https://aws.amazon.com.
About Amazon
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