AQUA (Advanced Query Accelerator) for Amazon
Redshift brings compute to the storage layer, delivering up to 10x
better query performance than other enterprise cloud data
warehouses
FOX Corporation, Amazon Advertising, and
Accenture among customers and partners using AQUA for Amazon
Redshift
Today, Amazon Web Services, Inc. (AWS), an Amazon.com company
(NASDAQ: AMZN), announced the general availability of AQUA for
Amazon Redshift, an innovative new distributed and
hardware-accelerated cache that delivers up to ten times better
query performance than other enterprise cloud data warehouses. AQUA
brings compute to the storage layer, helping customers avoid
networking bandwidth limitations by eliminating unnecessary data
movement between where data is stored and compute clusters. With
AQUA, customers have more up-to-date dashboards, save development
time, and their systems are easier to maintain. AQUA is available
on Redshift RA3 instances at no additional cost, and customers can
take advantage of the AQUA performance improvements without any
code changes. To get started with AQUA, visit
https://aws.amazon.com/redshift/features/aqua.
Since its launch in 2012 as the first data warehouse built for
the cloud at a cost of 1/10th that of traditional data warehouses,
Amazon Redshift has become the most popular cloud data warehouse.
Last year, AWS announced the general availability of Amazon
Redshift RA3 instances, which allow customers to scale compute and
storage separately and deliver up to 3x better price performance
than any other cloud data warehouse. However, even as the
performance of data warehouses continues to increase, the rapid
growth of data that customers need to process in their data
warehouses has led to a difficult balancing act between performance
and cost-effective scaling. The prevailing approach to data
warehousing has been to build out an architecture whereby large
amounts of centralized storage data are moved to waiting compute
nodes for processing. The challenge with this approach is that
there is a lot of data movement between the shared storage and the
compute nodes. As data volumes continue to grow at a rapid clip,
this data movement saturates available networking bandwidth and
slows down performance. In addition to the networking bottleneck,
CPUs are not able to keep up with the faster growth in storage
capabilities (SSD storage throughput has grown 6x faster than the
ability of CPUs to process data from memory), which either creates
a new CPU bottleneck of its own or forces more customers to
over-provision compute to get their work done more quickly.
AQUA for Amazon Redshift is a distributed and
hardware-accelerated cache for Amazon Redshift; an innovation that
improves performance for analytics at the new scale of data. AQUA
brings compute to the storage layer, so data does not have to move
back and forth between the two. This enables Amazon Redshift to run
queries up to ten times faster than other enterprise cloud data
warehouses. The AQUA cache scales out and processes data in
parallel across many nodes. Each node possesses a hardware module
composed of AWS-designed analytics processors that dramatically
accelerate data compression, encryption, and data processing tasks
like scans, aggregates, and filtering. AQUA also gives customers
the added benefit of being able to do compute on their raw storage,
which saves time that would otherwise be spent moving data around.
With this new architecture, and the order-of-magnitude better
performance it brings, Redshift customers have more up-to-date
dashboards, save development time, and their systems are easier to
maintain.
“Existing data warehouse architectures with centralized storage
require that data be moved to compute clusters for processing,
which creates a bottleneck and slows down performance,” said Rahul
Pathak, VP, Analytics, AWS. “By bringing compute to the storage
layer, AQUA helps customers eliminate unnecessary data movement to
avoid these networking bandwidth limitations, delivering up to an
order-of-magnitude query performance improvement over other
enterprise cloud data warehouses — and this game-changing leap in
performance is available to Amazon Redshift users at no additional
cost.”
AQUA for Amazon Redshift is generally available today to
customers running Amazon Redshift RA3 instances in US East (N.
Virginia), US West (Oregon), US East (Ohio), Asia Pacific (Tokyo),
and Europe (Ireland), with availability in additional regions
coming soon.
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. “FOX Corporation’s mission is to give millions of viewers
the simple pleasure of being transported by a story on a screen. We
have global audiences consuming premiere content across News,
Sports, and Entertainment, and data is at the center of everything
we do,” said Alex Tverdohleb, VP, Data Services, FOX Corporation.
“Amazon Redshift empowers us to analyze petabytes of structured and
semi-structured data across our data warehouse, operational
database, and Amazon S3 data lake to discover, analyze, and
activate data-driven decisions and powerful insights. As our
petabyte-scale data continues to grow rapidly, we have been testing
AQUA for Redshift to get better performance for our analytics
queries while keeping our costs flat. We are seeing AQUA for Amazon
Redshift improve the performance of some of our analytics queries
by an order of magnitude and it is an example of how we are using
latest technology to deliver a more personalized, curated, and
timely experience to our viewers.”
Amazon Advertising helps businesses and brands of all sizes grow
by offering the right advertising solution to drive brand
awareness, consideration of product, brand, or service, drive
purchases, or increase loyalty. “We use Amazon Redshift’s Lake
House architecture (the ability to query data in the warehouse,
operational databases, and data lake) to manage hundreds of
petabytes of data and serve thousands of customers daily,” said
Shamik Ganguly, Senior Manager, Amazon Advertising. “We started
using AQUA for Amazon Redshift recently, and it is a game changer.
We have seen some of our most complex analytics queries related to
attribution, personalization, brand insights, and aggregation that
scan large data sets run up to 10x faster with AQUA. AQUA has
dramatically reduced the average wait times for some of our most
demanding queries enabling us to run 50% more queries on our system
while keeping the cost the same resulting in faster time to value
and better experience for our customers.”
Accenture is a global professional services company with leading
capabilities in digital, cloud, and security with 500,000+ people
who deliver on the promise of technology and human ingenuity every
day, serving clients in more than 120 countries. “We use Amazon
Redshift to build analytics applications for our customers that
join data from multiple sources and empower users across the
business, from data analysts to line-of-business leaders,” said A.
K. Radhakrishnan, North America Data & AI AWS Lead, Accenture.
“As the data and demand for insights grows at an incredible pace,
it is innovations from AWS, like AQUA for Amazon Redshift, that
enable us to quickly meet the needs of our customers. AQUA has
improved the performance of our most demanding analytics queries
that scan large data sets by up to 10x, helping us deliver timely
insights to our ever-expanding customer base. This makes it easier
for us to help our customers process more data in a timely and
cost-effective manner to become data-driven enterprises.”
Sisense's mission is to help businesses infuse analytics
everywhere and empower their customers and employees to act on
their data at the right time, every time. “Thousands of enterprise
companies and global brands rely on our AI-driven analytics
platform to innovate, disrupt markets, and drive meaningful change
in the world,” said Guy Levy-Yurista, PhD, Chief Strategy Officer,
Sisense. “We use Amazon Redshift to enable our customers to rapidly
and easily transform complex data into highly interactive,
actionable apps that can be embedded and delivered at scale. We are
using AQUA for Redshift and are delighted to see complex analytic
queries that scan, filter, and aggregate large data sets run up to
8-10x faster than before. AQUA for Redshift gives us the
performance and scalability needed to quickly analyze petabytes of
data and deliver timely insights that benefit every user and every
team.”
About Amazon Web Services
For 15 years, Amazon Web Services has been the world’s most
comprehensive and broadly adopted cloud platform. AWS has been
continually expanding its services to support virtually any cloud
workload, and it now has more than 200 fully featured services for
compute, storage, databases, networking, analytics, machine
learning and artificial intelligence (AI), Internet of Things
(IoT), mobile, security, hybrid, virtual and augmented reality (VR
and AR), media, and application development, deployment, and
management from 80 Availability Zones (AZs) within 25 geographic
regions, with announced plans for 15 more Availability Zones and
five more AWS Regions in Australia, India, Indonesia, Spain, and
Switzerland. Millions of customers—including the fastest-growing
startups, largest enterprises, and leading government
agencies—trust AWS to power their infrastructure, become more
agile, and lower costs. To learn more about AWS, visit
aws.amazon.com.
About Amazon
Amazon is guided by four principles: customer obsession rather
than competitor focus, passion for invention, commitment to
operational excellence, and long-term thinking. Customer reviews,
1-Click shopping, personalized recommendations, Prime, Fulfillment
by Amazon, AWS, Kindle Direct Publishing, Kindle, Fire tablets,
Fire TV, Amazon Echo, and Alexa are some of the products and
services pioneered by Amazon. For more information, visit
amazon.com/about and follow @AmazonNews.
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