Very fast, easy-to-use, cloud-powered business
intelligence service for one-tenth the cost of traditional BI
solutions
Preview starts today
Today at AWS re:Invent, Amazon Web Services, Inc. (AWS), an
Amazon.com company (NASDAQ:AMZN), announced Amazon QuickSight, a
very fast, cloud-powered business intelligence (BI) service that
makes it easy for all employees, regardless of their technical
skill, to build visualizations, perform ad-hoc analysis, and
quickly get business insights from their data. Amazon QuickSight
uses a new, Super-fast, Parallel, In-memory Calculation Engine
(“SPICE”) to perform advanced calculations and render
visualizations rapidly. Amazon QuickSight integrates automatically
with AWS data services, enables organizations to scale to hundreds
of thousands of users, and delivers fast and responsive query
performance to them via SPICE’s query engine. Pricing for Amazon
QuickSight starts at $9.00 per user, per month – one-tenth the cost
of traditional BI solutions. To learn more about Amazon QuickSight,
visit https://aws.amazon.com/quicksight.
Too often, BI solutions require teams of data engineers to spend
months building complex data models before ever generating a
report, and these solutions lack interactive data exploration and
visualization, limiting users to canned reports and pre-selected
queries. On-premises BI tools also require companies to invest in
complex and costly hardware and software, and then require them to
invest in even more infrastructure to maintain fast query
performance as database sizes grow. This cost and complexity makes
it difficult for companies to make BI ubiquitous across their
organizations.
Amazon QuickSight is built from the ground up to solve these
problems by bringing the scale and flexibility of the AWS Cloud to
BI. Getting started with Amazon QuickSight is simple and fast. When
customers log in, Amazon QuickSight automatically discovers their
data sets stored in AWS services such as Amazon Redshift, Amazon
RDS (all engines), Amazon Simple Storage Service (Amazon S3),
Amazon DynamoDB, Amazon Elastic MapReduce (Amazon EMR), and Amazon
Kinesis. Customers can select any of the data sets discovered by
Amazon QuickSight and get insights from this data in minutes.
Amazon QuickSight formats the data and moves it to SPICE so it can
be visualized in Amazon QuickSight, saving customers from having to
manually Extract, Transform, and Load (ETL) the data, or invest in
expensive ETL tools. Customers can choose for Amazon QuickSight to
keep the data in SPICE up-to-date as the data in the underlying
sources change. Customers pay a low monthly fee for each Amazon
QuickSight user, eliminating the up-front costs of long-term
licenses with annual maintenance. Amazon QuickSight provides a
simple SQL-like interface to query the data stored in SPICE so that
customers can continue using their existing BI tools from AWS
partners like Domo, Qlik, Tableau, and TIBCO while benefiting from
the faster performance delivered by SPICE.
“In a world increasingly dominated by connected devices and
mobile users and where corporate data is moving to the cloud, our
customers continue to collect and store massive amounts of their
data across a wide range of AWS’s data services. These customers
have been asking AWS for an analytics solution that can enable
every one of their users to gain insights and make rapid decisions
using this data,” said Raju Gulabani, Vice President of Database
Services at Amazon Web Services. “And, after several years of
development, we’re excited to bring Amazon QuickSight to our
customers – a fast and easy-to-use BI service that addresses these
needs at an affordable price. At the heart of Amazon QuickSight is
the brand new SPICE in-memory calculation engine, which uses the
power of the AWS Cloud to make queries run lightning fast on large
datasets. We’re looking forward to our customers and partners being
able to SPICE up their analytics.”
Built from the ground up for the cloud, SPICE uses a combination
of columnar storage, in-memory technologies enabled through the
latest hardware innovations, machine code generation, and data
compression to allow users to run interactive queries on large
datasets and get rapid responses. As users explore their data,
Amazon QuickSight infers data types and relationships, issues
optimal queries to extract relevant data, aggregates the results in
the SPICE engine, and provides suggestions for the best possible
visualizations of the data. SPICE supports rich calculations that
help customers derive valuable insights from their analysis without
ever having to worry about provisioning or managing infrastructure.
SPICE automatically replicates data for high availability and also
enables Amazon QuickSight to scale to thousands of users who can
all simultaneously perform fast interactive analysis across a wide
variety of AWS data sources. Users can also share their analysis
with others in their organization using a StoryBoard feature.
“Nasdaq enables our customers to plan, optimize and execute
their business vision with confidence, using proven technologies to
provide transparency and insight for navigating today's global
capital markets. Our technology powers more than 100 marketplaces,
clearinghouses, and central securities depositories in 50
countries, and so generates a lot of data. We are always interested
in new tools to analyze the data we have stored in Amazon Redshift,
Amazon S3 and other sources,” said Nate Sammons, Principal
Architect, Nasdaq, Inc. “Having super-fast performance as
the data volumes and usage grows is critical to our users. Based on
our preview of Amazon QuickSight, we found the SPICE in-memory
calculation engine combined with an easy-to-use UI to be appealing
for our use cases. We also like the ability to scale to very large
data sets and many thousands of users with ease.”
“Intuit is a data-driven business. Our business users always ask
for fast, intuitive access to data they can analyze at-will and get
business insights instantly,” said Troy Otillio, Director, Public
Cloud, Intuit. “Based on our initial preview of Amazon QuickSight,
we think this service is going to challenge the status quo. It
appears to be intuitive to our business users, particularly those
in marketing who need an easy-to-use tool with super-fast
performance. Plus, the ability to scale to very large datasets and
many thousands of users with push button ease is attractive to us.
We are looking forward to the pilot and to understanding how to
better balance the cost and complexity of managing our software and
infrastructure.”
AdRoll provides the world’s most widely used retargeting
platform, helping businesses of any size to turn their customer
data into high performance marketing. “At AdRoll, our mission is to
help every marketer collect, analyze and use their data to deliver
high-performance marketing campaigns,” says Valentino Volonghi,
Chief Technology Officer, AdRoll. “Likewise, we are a data-driven
company and we also want to make Big Data and Analytics accessible
to everyone in our organization. Our employees have been asking for
a BI solution that is easy to use and allows them to both access
prebuilt dashboards as well as the capability to perform ad-hoc
analysis on their data. The prospect of using Amazon QuickSight to
analyze our large-scale data sets and make them readily available
for our business users is promising. We are also excited about
Amazon QuickSight’s ability to scale to a large number of users
while providing super-fast response time for data visualization.
These capabilities, coupled with the low entry price point makes
Amazon QuickSight a promising solution to address our BI
needs.”
RetailMeNot is the world’s largest marketplace platform for
digital offers that helps retailers and brands connect with
millions of active shoppers anytime, anywhere to drive engagement
and sales. “In the last year, we migrated our data to Amazon S3 and
Amazon Redshift and were able to simplify our operations, improve
performance, and lower cost,” said Dale Smith, Senior Software
Engineer at RetailMeNot. “As the volume of our data and the variety
of types of data sets continue to grow, we need a solution that
makes it easy for our BI, finance, and marketing teams to discover,
access, and analyze these data sources. Amazon QuickSight’s
intuitive and snappy web UI, and its ability to seamlessly scale to
very large data sets make it a promising solution to address our BI
challenges.”
Partner Support
Amazon QuickSight provides a simple SQL-like interface to query
the data stored in SPICE so that customers can continue using their
existing BI tools from AWS partners like Domo, Qlik, Tableau, and
TIBCO while benefiting from the faster performance delivered by
SPICE.
“Domo enables CEOs and managers to transform the way business is
managed by providing direct, real-time access to all the data they
need – regardless of its format or where it resides,” said Paul
Weiskopf, Senior Vice President of Corporate Development and
Strategic Partnerships, Domo. “As both an AWS customer and AWS
Partner Network (APN) ISV, we are excited to explore how we can
work with Amazon and the SPICE technology to further innovate on
behalf of our customers.”
“Today we have thousands of users running Qlik Sense Cloud on
AWS,” said Anthony Deighton, CTO of Qlik. “Our customers appreciate
the elasticity and flexibility of the AWS Cloud, combined with our
visual analytics platform, to help them explore more of their data
and gain more value across their business. We look forward to
working together to explore ways for customers to gain the best of
Qlik and the SPICE in-memory engine.”
“We’re excited that AWS is providing a new way for Tableau
customers to leverage their data hosted on AWS,” said Dan Jewett,
Vice President, Product Management at Tableau. “Having a
fast-performance, in-memory engine that works well with Tableau’s
visual analytics will allow our customers to see and understand
their data both quickly and efficiently.”
“TIBCO empowers executives, developers, and business users with
the right data for faster answers, better decisions, and smarter
action,” said Karl Van den Bergh, Vice President of Product, Cloud
and Alliances, TIBCO Software Inc's Analytics Group. “With TIBCO
Analytics SaaS offerings on AWS and AWS Marketplace, customers
running Amazon RDS, Amazon Redshift, and Amazon Elastic MapReduce
(Amazon EMR) can already easily visualize, analyze, and report on
their data. The launch of Amazon QuickSight with the SPICE engine
gives us an opportunity to reach even more customers. We look
forward to expanding on our existing relationship and enabling
customers to deliver fast insights across even more AWS data
sources.”
About Amazon Web Services
Launched in 2006, Amazon Web Services offers a robust, fully
featured technology infrastructure platform in the cloud comprised
of a broad set of compute, storage, database, analytics,
application, and deployment services from data center locations in
the U.S., Australia, Brazil, China, Germany, Ireland, Japan,
and Singapore. More than a million customers, including
fast-growing startups, large enterprises, and government agencies
across 190 countries, rely on AWS services to innovate quickly,
lower IT costs and scale applications globally. To learn more about
AWS, visit http://aws.amazon.com.
About Amazon
Amazon.com opened on the World Wide Web in July 1995. The
company 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.
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