New Multi-Master capability makes Amazon Aurora
the first relational database service to scale out both reads and
writes across multiple datacenters; customers can sign up for the
preview today
Amazon Aurora Serverless auto-scales database
capacity for applications with infrequent or cyclical usage;
customers can sign up for the preview today
With new Global Tables capability, Amazon
DynamoDB becomes the first fully managed multi-master, multi-region
database, offering fast local performance to globally dispersed
users
Amazon Neptune, a new fast, reliable graph
database, makes it easy for customers to build applications on
highly connected datasets
Today at AWS re:Invent, Amazon Web Services Inc. (AWS), an
Amazon.com company (NASDAQ: AMZN), announced new database
capabilities for Amazon Aurora and Amazon DynamoDB, and introduced
Amazon Neptune, a new fully managed graph database service. Amazon
Aurora now includes the ability to scale out database reads and
writes across multiple data centers for even higher performance and
availability. Amazon Aurora Serverless is a new deployment option
that makes it easy and cost-effective to run applications with
unpredictable or cyclical workloads by auto-scaling capacity with
per-second billing. With Global Tables, Amazon DynamoDB is now the
first fully managed database service that provides true
multi-master, multi-region read and writes, offering
high-performance and low-latency for globally distributed
applications and users. Amazon Neptune is AWS’s new fast, reliable,
and fully managed graph database service that makes it easy for
developers to build and run applications that work with highly
connected datasets. To get started with Amazon Aurora and Amazon
DynamoDB, and to learn more about Amazon Neptune, visit:
https://aws.amazon.com/products/databases.
The days of the one-size-fits-all database are over. For many
years, the relational database was the only option available to
application developers. And, while relational databases are great
for applications that log transactions and store up to terabytes of
structured data, today’s developers need a variety of databases to
serve the needs of modern applications. These applications need to
store petabytes of unstructured data, access it with
sub-millisecond latency, process millions of requests per second,
and scale to support millions of users all around the world. It's
not only common for modern companies to use multiple database types
across their various applications, but also to use multiple
database types within a single application. Since introducing
Amazon Relational Database Service (Amazon RDS) in 2009, AWS has
expanded its database offerings to provide customers the right
database for the right job. This includes the ability to run six
relational database engines with Amazon RDS (including Amazon
Aurora, a fully MySQL/PostgreSQL compatible database engine with at
least as strong durability and availability as commercial grade
databases but at 1/10th of the cost); a highly scalable and fully
managed NoSQL database service with DynamoDB; and a fully managed
in-memory data store and cache in Amazon ElastiCache. Now, with the
introduction of Amazon Neptune, developers can extend their
applications to work with highly connected data such as social
feeds, recommendations, drug discovery, or fraud detection.
“Nobody provides a better, more varied selection of databases
than AWS, and it's part of why hundreds of thousands of customers
have embraced AWS database services, with hundreds more migrating
every day,” said Raju Gulabani, Vice President, Databases,
Analytics, and Machine Learning, AWS. “These customers are moving
to our built-for-the-cloud database services because they scale
better, are more cost-effective, are well integrated with AWS’s
other services, provide customers relief (and freedom) from onerous
old guard database providers, and free them from the constraints of
a one-database-for-every-workload model. We will continue to listen
to what customers tell us they want to solve, and relentlessly
innovate and iterate on their behalf so they have the right tool
for each job.”
Amazon Aurora Multi-Master scales reads and writes across
multiple data centers for applications with stringent performance
and availability needs
Tens of thousands of customers are using Amazon Aurora because
it delivers the performance and availability of the highest-grade
commercial databases at a cost more commonly associated with open
source, making it the fastest-growing service in AWS history.
Amazon Aurora’s scale-out architecture lets customers seamlessly
add up to 15 low-latency read replicas across three Availability
Zones (AZs), achieving millions of reads per second. With its new
Multi-Master capability, Amazon Aurora now supports multiple write
master nodes across multiple Availability Zones (AZs). Amazon
Aurora Multi-Master is designed to allow applications to
transparently tolerate failures of any master--or even a service
level disruption in a single AZ—with zero application downtime and
sub-second failovers. This means customers can scale out
performance and minimize downtime for applications with the most
demanding throughput and availability requirements. Amazon Aurora
Multi-Master will add multi-region support for globally distributed
database deployments in 2018.
Expedia.com is one of the world's largest full service travel
sites, helping millions of travelers per month easily plan and book
travel. “Expedia’s high-volume data needs were met easily with
Amazon Aurora by scaling out while maintaining high performance,”
said Gurmit Singh Ghatore, Principal Database Engineer, Expedia.
“Amazon Aurora Multi-Master will take its scale and uptime even
further, which is really exciting. Amazon Aurora is now the first
choice database for most of our relational database needs.”
Amazon Aurora Serverless provides database capacity that
starts, scales, and shuts down with application workload
Many AWS customers have applications with unpredictable,
intermittent, or cyclical usage patterns that may not need the
power and performance of Amazon Aurora all of the time. For
example, dev/test environments run only a portion of each day, and
blogs spike usage with new posts. With Amazon Aurora Serverless,
customers no longer have to provision or manage database capacity.
The database automatically starts, scales, and shuts down based on
application workload. Customers simply create an endpoint through
the AWS Management Console, specify the minimum and maximum
capacity needs of their application, and Amazon Aurora handles the
rest. Customers pay by the second for database capacity when the
database is in use.
Zendesk builds software for better customer relationships. It
empowers organizations to improve customer engagement and better
understand their customers. "Responsiveness and reliability are
incredibly important to the organizations around the world who use
Zendesk to engage with their customers. We’ve designed our
enterprise-level operations and technology architecture to exacting
standards, and we’re big fans of Amazon Aurora because it provides
the high performance and availability we need in a database," said
David Bernstein, Director of Operations Services Management at
Zendesk. "We’re excited about the introduction of Amazon Aurora
Serverless because it means we can more efficiently apply that same
high performance and availability to our less predictable
workloads, without requiring granular management of database
capacity to do so.”
Amazon DynamoDB adds multi-master, multi-region and
backup/restore capabilities
Amazon DynamoDB is a fully managed, seamlessly scalable NoSQL
database service. More than a hundred thousand AWS customers use
Amazon DynamoDB to deliver consistent, single-digit millisecond
latency for some of the world’s largest mobile, web, gaming, ad
tech, and Internet of Things (IoT) applications. As customers build
geographically distributed applications, they find they need the
same low latency and scalability for their users around the world.
With Global Tables, Amazon DynamoDB now supports multi-master
capability across multiple regions. This allows applications to
perform low-latency reads and writes to local Amazon DynamoDB
tables in the same region where the application is being used. This
means a consumer using a mobile app in North America experiences
the same response times when they travel to Europe or Asia without
requiring developers to add complex application logic. Amazon
DynamoDB Global Tables also provide redundancy across multiple
regions, so databases remain available to the application even in
the unlikely event of a service level disruption in a single AZ or
single region. Developers can set up Amazon DynamoDB Global Tables
with just a few clicks in the AWS Management Console, simply
selecting the regions where they want their tables to be
replicated. Amazon DynamoDB handles the rest.
Customers also need a quick, easy, and cost-effective way to
back up their Amazon DynamoDB tables – whether just a few gigabytes
or hundreds of terabytes – for long-term archival and compliance,
and for short-term retention and data protection. With On-demand
backup, Amazon DynamoDB customers can now instantly create full
backups of their data in just one click, with no performance impact
on their production applications. And, Point in Time Restore (PITR)
allows customers to restore their data up to the minute for the
past 35 days, providing protection from data loss due to
application errors. On-demand backup is generally available today,
with point-in-time restore coming in early 2018.
“Customers around the world use Amazon retail websites every day
to shop online. To provide the best possible discovery, purchasing,
and delivery experience to every customer no matter where they
live, Amazon increasingly needs databases capable of millisecond
read/write latency with data that’s available globally,” said Dave
Treadwell, VP of eCommerce Foundation, Amazon.com. “We already use
Amazon DynamoDB for its scalability and speed, and we need that
same performance with globally synchronized data. Global Tables
enable us to process Amazon.com customer requests in the nearest
AWS region for optimal performance, and provides peace of mind by
keeping data in sync across each of our application stacks, all
without having to write complex failover logic.”
Customers can build powerful applications over highly
connected data with Amazon Neptune
Many applications being built today need to understand and
navigate relationships between highly connected data to enable use
cases like social applications, recommendation engines, and fraud
detection. For example, a developer building a news feed into a
social app will want the feed to prioritize showing users the
latest updates from their family, from friends whose updates they
“like” a lot, and from friends who live close to them. Amazon
Neptune efficiently stores and navigates highly connected data,
allowing developers to create sophisticated, interactive graph
applications that can query billions of relationships with
millisecond latency. Amazon Neptune’s query processing engine is
optimized for both of the leading graph models, Property Graph and
W3C's Resource Description Framework (RDF), and their associated
query languages, Apache TinkerPop Gremlin and RDF SPARQL, providing
customers the flexibility to choose the right approach based on
their specific graph use case.
Amazon Neptune storage scales automatically, with no downtime or
performance degradation. Amazon Neptune is highly available and
durable, automatically replicating data across multiple AZs and
continuously backing up data to Amazon Simple Storage Service
(Amazon S3). Amazon Neptune is designed to offer greater than 99.99
percent availability and automatically detect and recover from most
database failures in less than 30 seconds. Amazon Neptune also
provides advanced security capabilities, including network security
through Amazon Virtual Private Cloud (VPC), encryption at rest
using AWS Key Management Service (KMS), and encryption in transit
using Transport Layer Security (TLS).
Thomson Reuters is the world’s leading source of news and
information for professional markets. “Our customers are
increasingly required to navigate a complex web of global tax
policies and regulations. We needed an approach to model the
sophisticated corporate structures of our largest clients to
deliver an end-to-end tax solution,” said Tim Vanderham, Chief
Technology Officer, Thomson Reuters Tax and Accounting. “We use a
microservices architecture approach for our platforms and are
beginning to leverage Amazon Neptune as a graph-based system to
quickly create links within the data.”
Siemens is a global technology powerhouse that has stood
for engineering excellence, innovation, quality, reliability and
internationality for 170 years. “At Siemens, we need to manage
data, make it available, and enable users to rapidly innovate,”
said Thomas Hubauer, Portfolio Project Manager for Knowledge Graph
and Semantics at Siemens Corporate Technology. “Siemens utilizes
knowledge graph technology for applications ranging from semantic
master data management and production monitoring, to finance and
risk management. We are looking forward to investigating how Amazon
Neptune can drive a range of knowledge graph use cases for our
business and for our customers.”
About Amazon Web Services
For more than 11 years, Amazon Web Services has been the world’s
most comprehensive and broadly adopted cloud platform. AWS offers
over 100 fully featured services for compute, storage, databases,
networking, analytics, machine learning and artificial intelligence
(AI), Internet of Things (IoT), mobile, security, hybrid, and
application development, deployment, and management from 44
Availability Zones (AZs) across 16 geographic regions in the U.S.,
Australia, Brazil, Canada, China, Germany, India, Ireland, Japan,
Korea, Singapore, and the UK. AWS services are trusted by millions
of 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 https://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
www.amazon.com/about and follow @AmazonNews.
View source
version on businesswire.com: http://www.businesswire.com/news/home/20171129006077/en/
Amazon.com, Inc.Media
HotlineAmazon-pr@amazon.comwww.amazon.com/pr
Amazon.com (NASDAQ:AMZN)
Historical Stock Chart
From Aug 2024 to Sep 2024
Amazon.com (NASDAQ:AMZN)
Historical Stock Chart
From Sep 2023 to Sep 2024