New serverless options for Amazon Redshift,
Amazon MSK, and Amazon EMR help customers analyze data at scale
without having to configure, scale, or manage the underlying
infrastructure
Roche, Riot Games, and Intuit among customers
using new serverless analytics options
Today, at AWS re:Invent, Amazon Web Services, Inc. (AWS), an
Amazon.com, Inc. company (NASDAQ: AMZN), announced three new
serverless options for its suite of analytics services that make it
easier to analyze data at any scale without having to configure,
scale, or manage the underlying infrastructure. A new serverless
option for Amazon Redshift automatically sets up and scales
resources in seconds, giving customers the ability to run
high-performance analytics workloads on petabytes of data without
having to manage data warehouse clusters. A new serverless option
for Amazon Managed Streaming for Apache Kafka (Amazon MSK) quickly
scales resources to vastly simplify real-time data ingestion and
streaming. Amazon EMR now provides a serverless option for
customers to run analytics applications using open-source big data
frameworks like Apache Spark, Hive, and Presto without having to
provision, manage, and scale the underlying infrastructure.
“Some customers want fine-grained control over every aspect of
their workloads, but other customers have asked AWS to take the
guesswork out of managing their analytics infrastructure so they
can move faster and expand the use of analytics in their
organizations. Today, we are helping customers reduce the
complexity of managing their analytics infrastructure by offering
serverless versions of three popular analytics services,” said
Rahul Pathak, Vice President of Analytics at AWS. “This makes it
significantly easier and more cost effective for customers to
modernize their infrastructure and unify vast amounts of data from
a variety of endpoints. Now, customers can run analytics workloads
at any scale and quickly deliver insights to the people and
applications that need it—without having to even think about
managing infrastructure.”
AWS customers use a wide variety of purpose-built analytics
services to make data-driven decisions, including Amazon Redshift
for data warehousing, Amazon MSK for processing real-time data
streams, and Amazon EMR for running Apache Spark, Hive, Presto, and
other open-source big data frameworks. These services offer
powerful analytics capabilities for a variety of use cases, but
there is a subset of customers who want to benefit from AWS
analytics services and don’t want to put in the time needed to
learn how to manage the underlying clusters or servers. To remove
the complexity of scaling and managing infrastructure, AWS
introduced the concept of serverless, event-driven computing in
2014, and many customers have adopted serverless technologies on
AWS because it removes the need to configure, scale, or manage
servers or provision compute instances and storage to meet peak
capacity for their applications. The new serverless options
announced today extend these capabilities to AWS analytics engines
to automatically add or subtract resources to provide just the
right amount of capacity to meet the demands of data analytics at
any scale, so customers do not need to worry about constantly
right-sizing clusters or over provisioning for peak capacity—saving
them time and helping them optimize costs. With today’s
announcements, customers can now enjoy the automatic provisioning,
on-demand scaling, and pay-as-you-go pricing of serverless to lower
costs, expand analytics to more users, and quickly and easily get
started with AWS analytics services, including:
- Serverless data warehouse with Amazon Redshift
Serverless: Today, tens of thousands of customers are
collectively processing more than two exabytes of data with Amazon
Redshift every day. Amazon Redshift offers up to 3x better price
performance and up to 10x better query performance than other
enterprise cloud data warehouses, providing customers with faster
data analytics at lower cost. The new serverless option for Amazon
Redshift now makes it even easier to get insights from data quickly
without the need to set up, manage, or scale clusters. Customers
currently managing their own Amazon Redshift clusters can easily
move them to the new serverless option using the Amazon Redshift
console or the application programming interface (API) without
making changes to their applications. To learn more about the new
serverless option for Amazon Redshift, visit
aws.amazon.com/redshift/redshift-serverless.
- Serverless data streaming with Amazon MSK Serverless:
Today’s organizations are increasingly adopting Apache Kafka to
capture and analyze real-time data streams from IoT devices,
website clickstreams, database logs, and many other sources where
dynamic data is continuously generated. Amazon MSK Serverless now
builds, manages, and scales clusters automatically, so customers no
longer have to worry about capacity planning or unpredictable
workloads. To get started with Amazon MSK Serverless, customers
simply create a cluster in the Amazon MSK console, set up a private
and secure Apache Kafka endpoint, and use new or existing Apache
Kafka clients to stream data. To learn more about Amazon MSK
Serverless, visit aws.amazon.com/msk/features/msk-serverless.
- Serverless big data analytics with Amazon EMR
Serverless: Tens of thousands of customers use Amazon EMR to
run open-source frameworks like Apache Spark, Hive, and Presto for
large-scale distributed data processing jobs, interactive SQL
queries, and machine learning applications. With Amazon EMR
Serverless, customers simply specify the framework they want to
run, and Amazon EMR Serverless provisions, manages, and scales the
compute and memory resources up and down as workload demands
change. Customers can get started with Amazon EMR Serverless by
simply selecting an open-source framework and submitting their job
using Amazon EMR APIs, the AWS Command Line Interface (AWS CLI), or
the AWS Management Console. To learn more about Amazon EMR
Serverless, visit aws.amazon.com/emr/serverless.
Roche is one of the largest pharmaceutical companies in the
world and the leading provider of cancer treatments globally.
“Amazon Redshift Serverless helps us complete our data management
without having to manage clusters and optimizes our cost by
provisioning just the right amount of capacity to meet demand,”
said Dr. Yannick Misteli, Lead Cloud Platform and ML Engineer at
Roche. “Amazon Redshift Serverless is reducing the operational
burden, lowering costs, and enabling scale for the Roche
Go-to-Market domain. This simplification is a game changer, helping
us rapidly onboard and support a variety of analytics-heavy use
cases without friction.”
Riot Games is a video game developer and publisher, renowned for
creating one of the world’s most-played PC games: League of
Legends. “We ingest about 20 terabytes of data per day using Amazon
MSK on AWS, and reducing the time to query this data after it is
produced is critical for us. With Amazon MSK, we now have a
mechanism for streaming data into our ecosystem while eliminating
the heavy lifting of running Apache Kafka on our own,” said Wesley
Kerr, Sr. Principal Data Scientist at Riot Games. “Amazon MSK
Serverless will further streamline our operations, as it allows us
to keep up with changes in demand without having to take scaling
actions. As a result, our developers can worry less about scaling
Apache Kafka and focus more on offering the best gaming experiences
around the world.”
Intuit is the global technology platform that helps consumers
and small businesses overcome their most important financial
challenges, serving more than 100 million customers worldwide with
TurboTax, QuickBooks, Mint, Credit Karma, and Mailchimp. “At Intuit
we use Apache Kafka as a central event bus that sits between
thousands of decoupled microservices that power our products,” said
Ritesh Bansal, Director of Engineering at Intuit. “We recently
migrated our self-managed Apache Kafka clusters to Amazon MSK
because it allows us to redirect engineering talent towards
innovations closer to our end customers. We’re excited about Amazon
MSK Serverless, which will make managing our scale and capacity
much easier.”
The Orchard, a Sony Music Entertainment subsidiary, collects,
processes, and distributes music from labels and artists to
Spotify, Amazon Music, and other streaming providers and physical
retailers. “Amazon MSK has helped us accelerate the pace at which
we are launching production ready applications that process
streaming data for The Orchard Suite,” said Farouk Umar,
Engineering Manager at The Orchard. “Amazon MSK Serverless enables
teams that are not familiar with Apache Kafka scaling to benefit
from Amazon MSK, allowing us to fully decentralize Apache Kafka in
our organization and provide a better developer experience. As a
result, we are able to scale adoption of Apache Kafka faster, which
helps us accelerate adoption of our event-driven strategy.”
Classmethod, Inc. is a leading cloud integrator with expertise
in big data, mobile, and artificial intelligence. “Our data
integration platform service, called Customer Story Analytics
(CSA), integrates Amazon Redshift, Amazon S3, Amazon Aurora, and
other services to avoid data silos and provide powerful, unified
governance between data services,” said Satoru Ishikawa, Solution
Architect, Data Integration Division at Classmethod. “Amazon
Redshift Serverless automates the sizing of compute and storage and
quickly scales to meet demand. This elastic serverless experience
mitigates manual operational costs, expands data access among
departments, and accelerates autonomy on data analytics and machine
learning, allowing us to scale the CSA business in new and exciting
ways.”
Sedric is an AI risk and compliance excellence platform designed
for the new generation of fintech. “Ease of use and self-service
data access is key for our analytics initiatives. With Amazon
Redshift Serverless, we don’t have to think about managing the data
warehouse,” said Tomer Levi, Vice President of R&D at Sedric.
“Data from Amazon S3 gets loaded 7x faster for us than our previous
solution, helping us get actionable insights from millions of
customer events. We are thrilled with the performance improvements
and cost optimizations we are seeing with Amazon Redshift
Serverless.”
ZS Associates is a global professional services firm that helps
companies develop and deliver products for their customers. “We
leverage AWS heavily for our data analytics strategy and have had
tremendous success over the years. Our SaaS products depend on
Amazon EMR versions to upgrade Spark reliably and remove the
undifferentiated heavy lifting,” said Anirudh Vohra, Associate
Director of Cloud Architecture at ZS. “However, some of our
workloads don’t need the level of customization offered by Amazon
EMR on EC2, and we want to simply run certain Apache Spark
applications without worrying about managing and scaling servers or
clusters. We are excited about the launch of Amazon EMR Serverless
and look forward to porting our workloads with ad-hoc analytics
needs onto Amazon EMR Serverless.”
About Amazon Web Services
For over 15 years, Amazon Web Services has been the world’s most
comprehensive and broadly adopted cloud offering. 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 81 Availability Zones within 25 geographic regions,
with announced plans for 27 more Availability Zones and nine more
AWS Regions in Australia, Canada, India, Indonesia, Israel, New
Zealand, Spain, Switzerland, and the United Arab Emirates. 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. Amazon strives to
be Earth’s Most Customer-Centric Company, Earth’s Best Employer,
and Earth’s Safest Place to Work. Customer reviews, 1-Click
shopping, personalized recommendations, Prime, Fulfillment by
Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire
tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology,
Amazon Studios, and The Climate Pledge are some of the things
pioneered by Amazon. For more information, visit amazon.com/about
and follow @AmazonNews.
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