New pay-as-you-go interactive query service makes it easy to
analyze data in Amazon S3 using Standard SQL
Atlassian, Nasdaq, and News Corp. among the many customers using
Amazon Athena to get query results in seconds
Generally available today
Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ:
AMZN), today announced Amazon Athena, a serverless query service
that makes it easy to analyze data directly in Amazon Simple
Storage Service (Amazon S3) using standard SQL. With a few clicks
in the AWS Management Console, customers can point Amazon Athena at
their data stored in Amazon S3 and begin using standard SQL to run
queries and get results in seconds. With Amazon Athena there are no
clusters to manage and tune, no infrastructure to setup or manage,
and customers pay only for the queries they run. Amazon Athena
scales automatically – executing queries in parallel – so results
are fast, even with large datasets and complex queries. To get
started with Amazon Athena, visit
https://aws.amazon.com/athena.
AWS analytics services like Amazon Redshift and Amazon EMR have
made petabyte-scale analytics accessible to companies of all sizes.
With Amazon Redshift, customers can perform complex queries on
massive collections of structured data and get superfast
performance. For unstructured data, Amazon EMR makes it fast and
cost-effective to process and analyze vast amounts of data across
dynamically scalable clusters using popular distributed frameworks
like Apache Spark, Presto, Hive, and Pig. While these services are
scalable and powerful enough to handle the largest and most complex
big data applications, many customers also want to be able to very
quickly run queries on data stored in Amazon S3 (e.g. web logs,
clickstreams, and raw event files) without having to spin up,
configure, and manage a Hadoop cluster or a data warehouse. Now,
with Amazon Athena, analyzing data stored in Amazon S3 is as simple
as writing SQL queries. Amazon Athena uses Presto with full
standard SQL support and works with a variety of standard data
formats, including CSV, JSON, ORC, and Parquet. And, while Amazon
Athena is ideal for quick, ad-hoc querying and integrates with
Amazon QuickSight for easy visualization, it can also handle
complex analysis, including large joins, window functions, and
arrays. Because Amazon Athena executes queries using compute
resources in multiple Availability Zones and uses Amazon S3 as the
underlying data store, it is highly available and durable with data
redundantly stored across multiple facilities and multiple devices
in each facility.
“Over the past few years, AWS has built a comprehensive set of
big data services that customers use to do everything from
real-time analytics on streaming data, to petabyte-scale data
warehousing, or Spark and Hadoop jobs – and it’s all fast,
scalable, and cost-effective,” said Raju Gulabani, Vice President,
Databases, Analytics, and AI, AWS. “For hundreds of thousands of
customers, Amazon S3 is their primary data store – holding billions
to trillions of objects. Customers have frequently asked us whether
we could make it easy for anyone to run queries on their data in
Amazon S3 without having to worry about provisioning or managing
servers and clusters. Now they can. There is absolutely zero admin
with Amazon Athena – anyone who can write a SQL query can analyze
their data in Amazon S3. Amazon QuickSight and Amazon Athena are
tightly integrated, enabling customers to visualize their Amazon
Athena query results without even writing a SQL query.”
“We are long time customers of AWS, and use services like Amazon
Redshift and Amazon EMR to support and power analytics across the
company,” said Paul Cheesbrough, Chief Technology Officer, News
Corp. “We received early access to Amazon Athena, and it has proven
to be fast, easy to use, and cost effective. We've had great
feedback from our teams of engineers and analysts, especially on
Amazon Athena’s ability to query directly from Amazon S3, and we're
excited about where we go next with the service.”
LiveIntent, a platform for people-based marketing and
advertising focused on the email channel, helps over 1,100 brands
deliver marketing and advertising to 145 million people in emails
sent by 1,300 top Publishers every month. “The LiveIntent platform
collects and processes hundreds of millions of events per day. We
are continuously challenging ourselves to build and extend the
platform to provide faster and cheaper access to data, which in
turn translates to better and faster insights for our customers,”
said Eric Raab, Executive Vice President of Engineering,
LiveIntent. “We found Amazon Athena to be faster and cheaper than
any other solution we evaluated and decided utilize its
capabilities right away. We really like that Amazon Athena has zero
administration, and that we can query a multitude of formats
directly from Amazon S3 with no loading required.”
DataXu helps marketers understand how marketing investments can
lead to profitable customer relationships using data. “We process
3M+ bid requests per second, which results in a total of 3PB of
incoming data every day. Even with compression and reduction, this
results in 180+ Terabytes of logs per day,” said Yekesa Kosuru,
Vice President, Engineering, DataXu. “We started using Amazon
Athena as soon as we heard about it and are loving its simplicity,
speed, and pay-per-query pricing model. Amazon Athena provides us
with the ability to query our entire data set stored on Amazon S3,
without the need to manage infrastructure. Because there’s nothing
to manage and we only pay per query, we’re actively deploying
Amazon Athena throughout the company.”
Gunosy is a leading Japanese provider of news curation apps. “We
began using Amazon Athena as soon as we could and were impressed
that even in preview Amazon Athena was faster than the system we
had been using – even though it’s querying data directly from
Amazon S3,” said Yosuke Abe, Data Scientist, Gunosy. “We're
actively migrating workloads to AWS so we can put Amazon Athena at
the core of our analytics platform.”
Inrix is a leading provider of real-time traffic intelligence
for enterprises, public sector, and media. “At INRIX we ingest
terabytes of road network and movement data on a daily basis and
run hundreds of Amazon EMR data pipelines to process it. We use
Amazon S3 as a repository for our un-processed, in-process, and
processed datasets. Our data scientists need to slice, dice, and
analyze this data to build mathematical models of predictive
analytics on road networks. Our data engineers need the ability to
drill down from processed data to in-process data for monitoring
and debugging data quality issues,” said Harsh Shah, Group
Engineering Manager, Inrix. “We jumped at the opportunity to try
Amazon Athena and loved the speed, ease of use, and flexibility
offered by Amazon Athena. With Amazon Athena, any of our developers
can query all of our data stored on Amazon S3 using SQL, without
worrying about infrastructure or knowledge of big data processing
systems. Amazon Athena has enabled us to quickly turn Amazon S3
into our data lake.”
Japan Taxi, a transportation app, has two million active users
every month. “The ability to put data into Amazon S3 and query it
just using standard SQL with Amazon Athena is incredible,” said
Kazuhiri Iwata, Chief Technology Officer, Japan Taxi. “With Amazon
Athena, we don’t have to load the data since the service can query
the data in place. Now, any of our developers can query data at its
most granular resolution, at low costs – enabling us to give
everyone who needs it easy access to our data. Because Amazon
Athena uses open source formats, we can also use other solutions
like Amazon EMR on the same data, making interoperability easy.
And, because Amazon Athena requires no administration, we were able
to get started immediately.”
mParticle allows mobile app developers to collect and make sense
of their data. “At mParticle we collect and process large amounts
of data. We want all of our customers to be able to process raw
data with simple languages such as SQL,” said Michael Katz, Chief
Technology Officer, mParticle. “We jumped on Amazon Athena as soon
as we heard about it, as the ability to quickly analyze large
amounts of data using standard SQL appealed to us. With Amazon
Athena, we got started immediately, paid by the query, and queries
ran quickly. We liked the ANSI-SQL compatibility and that it can
query both text and columnar formats.”
Nasdaq’s technology powers more than 70 marketplaces in 50
countries, and 1 in 10 of the world’s securities transactions.
“Built on a vision of innovation and a heritage of disruption, we
are always looking for new ways to improve efficiencies and gain
new insights across business areas within all of our markets. Given
that data is critical to the success of our business, 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. “We wanted to extend our Amazon
Redshift data warehouse and build a secure, cost effective long
term data store. We chose Amazon S3 for storage and Presto as part
of the query and analytics system because of its ANSI-SQL
compatibility and fast performance. We expect Amazon Athena will
help us take that idea even further by eliminating the need for
clusters and allowing all of our analysts to query data in Amazon
S3 at fast speeds.”
JW Player, one of the world’s most popular video player and a
leading digital and mobile video solutions company, is live on more
than 2 million sites across all devices — OTT, phones, tablets, and
desktops — with more than 1.3 billion unique monthly views. “We use
a combination of platforms to power the JW Analytics Dashboard,
which provides analytics to measure content performance across
large data sets. We regularly ingest 4+ billion events per day and
are always looking for solutions that simplify processing large
data sets, while reducing cost and complexity,” said Rick Okin,
Vice President of Engineering, JW Player. “Amazon Athena provides
us with an easy to use, fast and cost-effective solution with
zero-administration. We love the fact that we can just put our data
in S3, use open formats such as Apache Parquet to allow
interoperability with the rest of our stack, and run SQL queries,
without worrying about clusters or data warehouses.”
Tableau helps people see and understand data. “Our mission is to
put data in the hands of as many people as possible so they can act
on it and have an impact on the world around them,” said Andrew
Beers, Chief Development Officer, Tableau. “We’ve partnered with
AWS for a long time and have native integrations with Amazon
Redshift, Amazon EMR, and Amazon RDS. We’re excited to announce
support for Amazon Athena as well. Using Tableau and Amazon Athena
together, customers can visualize all their data in Amazon S3
interactively, cost-effectively, and with no infrastructure to
manage.”
Customers can start using Amazon Athena using the AWS Management
Console. Amazon Athena is currently available in the US East (N.
Virginia) and US West (Oregon) Regions, and will expand to
additional Regions in the coming months.
About Amazon Web ServicesFor 10 years, Amazon Web
Services has been the world’s most comprehensive and broadly
adopted cloud platform. AWS offers over 70 fully featured services
for compute, storage, databases, analytics, mobile, Internet of
Things (IoT) and enterprise applications from 38 Availability Zones
(AZs) across 14 geographic regions in the U.S., Australia, Brazil,
China, Germany, Ireland, Japan, Korea, Singapore, and India. AWS
services are trusted by more than a million 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 http://aws.amazon.com.
About AmazonAmazon 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,
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