Amazon Web Services (AWS) delivers a new NoSQL database service known as DynamoDB that delivers fast and predictable performance with all the scalability you can ask for.
Amazon Web Services
has again delivered key
technology to keep itself ahead of the cloud computing pack with a new
high-performance, highly scalable NoSQL database service known as DynamoDB.
AWS quietly keeps delivering new
capabilities that help its customers out of jams and continue to confound its
competitors. Amazon DynamoDB is a fully managed NoSQL database service that
provides extremely fast and predictable performance with seamless scalability,
said Adam Selipsky, vice president of marketing, sales, product management and
support at AWS.
With a few clicks in the AWS Management
Console, customers can launch a new DynamoDB database table, scale up or down
their request capacity for the table without downtime or performance
degradation, and gain visibility into resource utilization and performance
metrics. Amazon DynamoDB enables customers to offload the administrative
burdens of operating and scaling distributed databases so they don't have to
worry about hardware provisioning, setup and configuration, replication,
software patching, partitioning, or cluster scaling. To get started with Amazon
DynamoDB, visit www.aws.amazon.com/DynamoDB
"Scaling a database is as easy for
a developer as turning up a dial to add database capacity seamlessly or to
remove it by turning the dial down again," Werner Vogels, CTO of Amazon,
. "That's it. You tell
the service the number of requests it has to handle per second, and it does the
rest automatically. So we spread the data across enough hardware to provide
consistent performance, which also protects against downtime. Before DynamoDB,
this was something developers actually had to manage themselves."
Unlike DynamoDB, traditional databases
are not designed to scale to the performance needs of modern applications,
which can experience explosive growth and cause a single database to quickly
reach its capacity limits. Mitigating this by distributing a workload
across multiple database servers is complex and requires significant
engineering expertise and time investment by application
developers. Amazon DynamoDB addresses the problem of scalability by
automatically partitioning and repartitioning data as needed to meet the latency
and throughput requirements of highly demanding applications. Additionally,
Amazon DynamoDB's pay-as-you-go pricing enables customers to "dial in"
and pay for only the resources they need.
"Amazon has spent more than 15
years tackling the challenges of database scalability, performance and
cost-effectiveness using distributed systems and NoSQL technology," Vogels
said in a statement. "Amazon DynamoDB is the result of everything we've
learned from building large-scale, non-relational databases for Amazon.com and
building highly scalable and reliable cloud computing services at AWS.
"Customers can now remove the operational headaches of managing distributed
systems and deploy a non-relational database in a matter of
minutes. DynamoDB automatically scales to enterprise needs, and is
designed for rapid performance no matter the size of the database. Amazon
DynamoDB is already in use by many teams and products within Amazon, including
the Amazon.com advertising platform, Amazon Cloud Drive, IMDb and Kindle."
Amazon DynamoDB offers low, predictable
latencies at any scale, and customers typically enjoy single-digit millisecond
latencies for database read and write operations. Amazon DynamoDB stores
data on solid-state drives (SSDs) and replicates it synchronously across
multiple AWS Availability Zones in an AWS Region to provide built-in high
availability and data durability. Businesses can get started with Amazon
DynamoDB using a free tier that provides 100MB of storage, and five writes and
10 reads per second (up to 40 million requests per month) free of charge,
Of the new technology, Vogels added: "It's
not only about scalability, it's also about performance-it is fast. In the past
if database architects and database administrators needed to guarantee the
performance of their applications, they needed to buy extremely expensive
hardware to be able to scale up or go scale out and do partitioning and things
like that, which introduce tremendous complexity. Now, within DynamoDB we've
done a lot of innovation to make sure one can make use of ADB at this massive
scale to automatically spread data across enough hardware to deliver this
consistently fast performance."
Moreover, "Customers should expect
single-digit millisecond response times," Vogels told eWEEK
. "We are pretty stoked about this one. This is something
that our customers have been asking for, for quite a while.
"There are a few big
customer groups looking for this: those that already use NoSQL solutions and
want a solution that's completely managed and they no longer have to manage the
software and the hardware for it. Then there's the group that's coming out of
enterprises with data architects that always wanted to start experimenting with
or using a NoSQL solution, but just the task of installing software, managing
hardware and things like that was too daunting for them. So we take a barrier
away for enterprise adoption of NoSQL as well. Then a third big category of
customers that have been asking for a solution like this are the ones in the big
data area, where they need a very fast key value store that is able to provide
them with very high throughput for their big data applications."