Press release

AWS Announces General Availability of Concurrency Scaling for Amazon Redshift

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Today, Amazon Web Services Inc., an company (NASDAQ: AMZN),
announced the general availability of Concurrency Scaling, a new Amazon
Redshift feature that automatically adds and removes capacity to handle
unpredictable demand from thousands of concurrent users. Concurrency
Scaling comes at no cost to almost all customers, and every customer –
even those with the spikiest workloads – will immediately see greater
processing capacity at lower costs with more predictable spend. AWS also
shared that Amazon Redshift has more than 10,000 customers, making it
the most popular cloud data warehouse. The experience gained from
serving a large and diverse customer base, along with the lessons
learned from processing over two exabytes of customer data every day,
has enabled Amazon Redshift to accelerate feature development and
continuously optimize performance, delivering 10x faster average query
times to customers over the last two years.

Concurrency Scaling is the latest innovation of more than 200 features
and enhancements delivered to customers during the past two years,
including Elastic Resize, which adds more nodes to a cluster in minutes,
and Short Query Acceleration, which uses machine learning algorithms to
speed up interactive queries. To learn more about Amazon Redshift’s
recently released capabilities, visit:

“Amazon Redshift provides ten times the performance of traditional on
premises data warehouses at one tenth the cost, and it has the most
customers and the largest production deployments of any cloud data
warehouse provider,” said Raju Gulabani, Vice President, Database,
Analytics, and Machine Learning at AWS. “Customers choose Amazon
Redshift for its performance, scalability, and cost-effectiveness. We’ve
had thousands of customers for several years, and as the service has
grown, we’ve been lucky enough to get continuous feedback on what we can
do to improve the service. This feedback has led to the more than 200
features and capabilities added to the service during the past two
years, including Elastic Resize, Short Query Acceleration, and now
Concurrency Scaling. Concurrency Scaling adds to Amazon Redshift’s
scalability and flexibility by transparently adding and removing
capacity to handle unpredictable workloads from thousands of concurrent
users. The features and enhancements released over the past two years
mean that customers are seeing a 10x improvement in query times on
average, and with Concurrency Scaling, the service transparently scales
to handle unpredictable demand, making it ideal for all customer data
warehousing workloads.”

In addition to the performance gains, customers choose Amazon Redshift
because it provides the flexibility to extend their data warehouse to
analyze exabytes of data across their Amazon S3 data lake without
unnecessary data movement or duplication. Customers can store their data
in their Amazon S3 data lake in popular open formats such as Parquet,
ORC, and JSON. They can then use Amazon Redshift Spectrum to break down
data silos to answer the most complex analytical questions and uncover
new business insights across their data warehouses and data lake.

Pfizer, McDonald’s, Hilton Hotels Worldwide, Yelp, Intuit, Redfin, NTT
DOCOMO, Equinox Fitness, and Edmunds are just a few of the more than ten
thousand customers and partners that benefit from Amazon Redshift’s new
features and enhancements.

Pfizer is one of the world’s largest pharmaceutical companies,
with revenue of $53.6 billion in 2018. “Amazon Redshift enables us to
provide scientists with near real-time analysis of millions of rows of
manufacturing data generated by continuous manufacturing equipment, with
1,600 data points per row,” said Jim Silva, Director Business Partner,
Pfizer Inc. “Redshift enables us to query our high-volume data at 10
times the performance of our prior data warehousing solution. Because of
the performance and scale Redshift provides, we have increased our
manufacturing efficiency by optimizing future manufacturing runs. In
addition, we have reduced the time needed to gather and prepare data for
regulatory submissions by a factor of five and now avoid repeated
experimentation, which would otherwise have taken an extra three weeks
of scientists’ time.”

McDonald’s is one of the world’s leading global foodservice
retailers with over 37,000 locations in 120 countries. McDonald’s uses
Amazon Redshift to run global workloads for operational reporting and
dashboards. “Amazon Redshift enables faster business insights and
growth, and provides an easy-to-manage infrastructure to support our
data workloads. Redshift has given us the confidence to run more data
and analytics workloads on AWS and helps us meet the growing needs of
our customers,” said Abhi Bhatt, Director Global Data & Analytics,

Hilton Hotels Worldwide operates 5,400 hotels across six
continents. To help drive data insights for key business applications,
including worldwide hotel booking and reservation management systems,
the company replaced multiple legacy data warehousing environments with
a data lake running on Hadoop and AWS. Data from billions of records and
objects from various reservation and business applications are fed into
the data lake, where it is analyzed in real time using Hadoop and Amazon
Redshift. “Using Amazon Redshift to identify common characteristics,
patterns, and trends in hotel reservations, our revenue management team
has already reduced analysis time by 50 percent over the previous legacy
data warehouse system,” said Sudhir Menon, VP of Enterprise Information
Management, Hilton Hotels Worldwide., one of the world’s largest e-commerce companies, with
over $230B in annual revenues, recently migrated all their analytical
workloads from Oracle to a data lake architecture on AWS. “Amazon
Redshift has been a key component of our successful migration off Oracle
and has enabled us to significantly reduce the cost of our analytics
while scaling to support one of the largest analytical workloads in the
world,” said Dave George, VP of Technology Software & Development, “We currently have over 500PB of data in our Redshift
clusters and our Amazon S3 data lakes that we analyze to deliver mission
critical insights to support all parts of the company. Working in
partnership with AWS, we continue to leverage new features such as
Redshift Spectrum. Integration with Redshift Spectrum has significantly
reduced the cost of analyzing our largest datasets while providing
consistently fast performance.”

NTT DOCOMO is the largest mobile service provider in Japan,
serving more than 68 million customers. “We migrated to Amazon Redshift
in 2014 because it was 10 times faster than our prior on-premises
system. Today, it is the center of our analytics environment,” said
Masayuki Tsuda, General Manager of Service Innovation Department, NTT
DOCOMO. “Since we first started using Amazon Redshift, we have added
thousands of analysts and data scientists to analyze tens of petabytes
daily. Redshift provides our users with consistently faster performance,
even as its usage within the company has grown.”

FOX Corporation produces and distributes content through some of
the world’s leading and most valued brands, including: FOX News, FOX
Sports, the FOX Network, and the FOX Television Stations. FOX empowers a
diverse range of creators to imagine and develop culturally significant
content, while building an organization that thrives on creative ideas,
operational expertise and strategic thinking. “Redshift allows us
to ingest, optimize, transform, and aggregate hundreds of millions of
events per day at scale, coming to us from a variety of sources,” said
Alex Tverdohleb, Vice President Data Services, Consumer Products &
Engineering, FOX Corporation. “With recent improvements in Redshift’s
performance, we are noticing a 3.5x to 4x improvement in the performance
of our workload over the last year alone, and at half the cost compared
to other vendors. We’re especially excited about Concurrency Scaling
because it allows us to scale up at a moment’s notice to handle
unpredictable workloads with almost no additional charges. The speed and
quality of the data delivery allows our internal and external customers
to drive the business and operations forward faster and more cost

Intuit is a leading provider of financial management software for
consumers, small businesses, and accounting professionals. “We moved our
mission-critical workloads to Amazon Redshift from our on-premises
environment to speed development, innovate faster, and better solve
customers’ needs,” said Jason Rhoades, System Architect at Intuit.
“Redshift’s performance allows us to scale our workloads by over 3x in
2019 at no additional cost. With new features such as Auto-Vacuum and
Auto-Analyze, we’ve been able to eliminate all of our database
maintenance jobs, enabling our team to focus on our customers. More
teams at Intuit are looking to use Redshift for an ever-wider array of
business opportunities because of its exceptional performance, cost, and

Yelp is a local-search service that aims to connect people with
great local businesses and has over 148 million local business reviews.
Yelp stores approximately 18 months’ worth of advertising information in
Amazon Redshift. Teams use the information to understand how ads are
being delivered and to train models that will result in more relevant
future ads. “Amazon Redshift is a critical part of Yelp’s analytics
infrastructure because of its performance and scalability,” said Shahid
Chohan, Software Engineer at Yelp. “We love how the Amazon Redshift team
continuously adds features that make Redshift faster, more elastic, and
easier to use. The latest new feature, Concurrency Scaling, instantly
adds capacity to support additional users and removes it when the load
subsides, with nothing to manage on our end. We’ve deployed this on all
our Redshift clusters because it gives us the flexibility to handle the
variance in our workloads over the course of a day without us having to

All Nippon Airways (ANA) is Japan’s largest airline, operating
domestic and international routes. “We use Amazon Redshift to analyze
ANA’s international and domestic flight reservations, ticket issuing and
boarding information, aircraft operation records, and cargo
transportation records,” said Hajime Fudeshima, director of Business
Intelligence, Innovation, and IT Strategy at ANA. “Multiple divisions of
ANA are able to analyze all of our data in Amazon S3 with Amazon
Redshift Spectrum, enabling us to immediately generate unique insights
that differentiate our business.”

Equinox Fitness is an American luxury fitness company with more
than 145 locations within every major city across the United States in
addition to London, Toronto, and Vancouver. Equinox Fitness migrated to
Amazon Redshift to analyze their clickstream data. “Moving to Amazon
Redshift has helped us reduce our overall maintenance costs by nearly
80% when compared to our legacy data warehouse,” said Elliott Cordo, VP
of Data Analytics, Equinox Fitness. “By leveraging Redshift Spectrum’s
ability to query data directly in our Amazon S3 data lake, we have been
able to easily integrate new data sources in hours, not days or weeks.
This has not only reduced our time to insight, but helped us control our
infrastructure costs. Redshift requires very little maintenance, to the
point where we don’t even have a dedicated administrator and spend less
than an hour a month on maintenance and administration.”

Redfin is a technology-powered real estate brokerage, combining
its own full-service agents with modern technology to redefine real
estate. Redfin can innovate quickly and cost effectively while managing
billions of property records. “Amazon Redshift provides the core
analytics infrastructure that we rely on. Using the Elastic Resize
feature that was released last year, we can optimize our performance by
easily scaling up our cluster when faced with increased demands and
scaling down during off-peak hours,” said Yong Huang, Director of Big
Data and Analytics, Redfin. “Amazon Redshift’s ability to query data
across our Redshift cluster and our Amazon S3 data lake, gives us a
single view of all our data and makes it easy for our analysts to gain
the insights they need seamlessly and quickly.”

Edmunds is an online resource for automotive information, which
offers detailed and constantly updated information about vehicles to 20
million monthly visitors. “At Edmunds, Amazon Redshift provides a
scalable and cost-effective infrastructure to support all of our
analytical workloads,” said Greg Rokita, Executive Director of
Technology, Edmunds. “Amazon Redshift delivers faster performance the
more we use it because it uses machine learning to optimize our
workloads and accelerates our queries. Twenty percent of our queries now
complete in less than a second. We were also impressed with Redshift’s
new Elastic Resize feature, which adds capacity to our clusters in
minutes, with no effort needed on our end. As Redshift continuously
improves on performance and scalability, our mission-critical workloads
automatically run even faster.”

Tableau’s leading analytics platform helps customers derive
insights from their data stored within Amazon Redshift. “Amazon Redshift
is one of our customers’ most commonly selected data sources, so we know
firsthand the power it provides, enabling customers to create a
massively scalable data warehouse with just a few clicks. We are proud
to collaborate with the Amazon Redshift team to ensure an optimal
customer experience when leveraging Tableau to gain insights that help
them drive their business,” said Brian Matsubara, Senior Director of
Global Technology Alliances at Tableau Software. “We’re excited to see
the rapid innovation and continuous improvements in performance and
scale by the Redshift team and look forward to working together to help
more customers realize the power of data.”

Informatica provides innovative capabilities to accelerate
customer adoption of cloud analytics with AI-driven automation of data
management including data migration, data ingestion, data integration,
and data quality. “Informatica Intelligent Cloud Services is loading
more than one trillion transactions per month to Amazon Redshift and we
are seeing tremendous joint customer momentum and growth,” said Ronen
Schwartz, Senior Vice President and General Manager of Cloud, Big Data,
and Data Integration at Informatica. “We are excited to leverage the
dramatic performance improvement and query throughput increases the
Redshift team has delivered as they enable our customers to execute
analytics at scale, minimize time to insight, and help our customers
accelerate their data-driven digital transformations. The improvements
over the last two years have enabled us to grow with confidence knowing
that Redshift’s performance will scale as we grow.”

Delivery Hero is a Berlin-based food delivery service that
operates in over 40 countries, delivering more than one million orders a
day. “We aggregate over 10 terabytes daily from a diverse set of data
sources and APIs from around the world into our Amazon Redshift data
warehouse running on AWS,” said Kevin Viraud, Principal Data Engineer
(International) at Delivery Hero. “Our daily processing workload has
increased by 50 percent over the past 12 months but the performance
improvements released by the Redshift team over the same time period
have meant that we are actually processing data faster than before and
haven’t had to increase the size of our cluster. This has allowed us to
stay well within our projected budget while improving our data delivery

Periscope Data helps data professionals across some of the
world’s most recognizable brands get full control over the analytics
lifecycle — including ingestion, storage, analysis, visualization, and
reporting — and gives line-of-business owners and non-technical users
the ability to use data to quickly answer questions. “We’re here to
create a more data-driven world, where everyone can understand and
unlock the full potential of their data,” said Tom O’Neill, Co-Founder
and CTO of Periscope Data. “We operate hundreds of Redshift clusters
running tens of millions of queries per day, and our workloads can
fluctuate significantly throughout the day. With Concurrency Scaling,
Amazon Redshift makes it easy for us to efficiently add query capacity
and enables us to deliver a consistently great experience to all of our
customers, at any concurrent query load.”

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