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Amazon S3
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Start using Amazon S3 for free with the AWS Free Tier


AMAZON S3

Object storage built to retrieve any amount of data from anywhere
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WHAT IS AMAZON S3?

Amazon Simple Storage Service (Amazon S3) is an object storage service offering
industry-leading scalability, data availability, security, and performance.
Millions of customers of all sizes and industries store, manage, analyze, and
protect any amount of data for virtually any use case, such as data lakes,
cloud-native applications, and mobile apps. With cost-effective storage classes
and easy-to-use management features, you can optimize costs, organize and
analyze data, and configure fine-tuned access controls to meet specific business
and compliance requirements.





BENEFITS




SCALABILITY


You can store virtually any amount of data with S3 all the way to exabytes with
unmatched performance. S3 is fully elastic, automatically growing and shrinking
as you add and remove data. There’s no need to provision storage, and you pay
only for what you use.


DURABILITY AND AVAILABILITY


Amazon S3 provides the most durable storage in the cloud and industry leading
availability. Based on its unique architecture, S3 is designed to provide
99.999999999% (11 nines) data durability and 99.99% availability by default,
backed by the strongest SLAs in the cloud.


SECURITY AND DATA PROTECTION


Protect your data with unmatched security, data protection, compliance, and
access control capabilities. S3 is secure, private, and encrypted by default,
and also supports numerous auditing capabilities to monitor access requests to
your S3 resources.


LOWEST PRICE AND HIGHEST PERFORMANCE


S3 delivers multiple storage classes with the best price performance for any
workload and automated data lifecycle management, so you can store massive
amounts of frequently, infrequently, or rarely accessed data in a cost-efficient
way. S3 delivers the resiliency, flexibility, latency, and throughput, to ensure
storage never limits performance.


AMAZON S3 PRICING AND FREE TIER



S3's free tier offers a 12 month free trial that provides 5GB of Amazon S3
storage in the S3 Standard storage class; 20,000 GET Requests; 2,000 PUT, COPY,
POST, or LIST Requests; and 100 GB of Data Transfer Out each month. To learn
more about S3's free tier offering and cost effective pricing options, visit the
Amazon S3 pricing page.




USE CASES

 * Data lakes
 * Backup and restore data
 * Archive data
 * Generative AI


BUILD A DATA LAKE

A data lake is a centralized repository that allows you to store all your
structured and unstructured data at any scale. You can run data analytics,
artificial intelligence (AI), machine learning (ML), and high-performance
computing (HPC) applications to unlock the value of your data.

 * With an Amazon S3 data lake, users in Salesforce’s organization can discover,
   access, and analyze all their data, regardless of where it lives, in a secure
   and governed way.

Read the Salesforce case study




BACKUP AND RESTORE CRITICAL DATA

Meet your recovery time objective (RTO), recovery point objective (RPO), and
compliance requirements with S3's robust replication functionality, data
protection with AWS Backup, and various AWS Partner Network solutions.

 * Ancestry uses the Amazon S3 Glacier storage classes to restore terabytes of
   images in mere hours instead of days.

Learn about the Amazon S3 Glacier and S3 Glacier Deep Archive storage classes




ARCHIVE DATA AT THE LOWEST COST

Move data archives to the Amazon S3 Glacier storage classes to lower costs,
eliminate operational complexities, and gain new insights.

 * The BBC, a UK public service broadcaster, safely migrated its 100-year-old
   flagship archive to Amazon S3 Glacier Instant Retrieval.

View the BBC case study




PUT YOUR DATA TO WORK

Because Amazon S3 stores more than 350 trillion objects (exabytes of data) for
virtually any use case and averages over 100 million requests per second, it may
be the starting point of your generative AI journey.

 * Grendene is creating a generative AI-based virtual assistant for their sales
   team using a data lake built on Amazon S3.

Read the Grendene case study




CUSTOMERS

Read more from our customers


INDUSTRY-LEADING SCALABILITY

“Modernizing the NASCAR technology stack by using AWS Storage is an incredibly
monumental step in our overall cloud adoption journey at NASCAR. Migrating all
our video, audio, and image libraries to the industry-leading scalability, data
availability, security, and performance of Amazon S3 allows us to spend more
time developing additional workflows that help our business.” —Chris Wolford,
Senior Director of Media and Event Technology, NASCAR
Read the NASCAR blog


COST SAVINGS

“You think about our 400 percent growth, and that translates into user growth
and data growth. Amazon S3 is a massively scalable storage service that we use
to serve our growing number of customers worldwide. By optimizing our Amazon S3
usage, we can stretch our IT budgets and extend the impact of our technology.” —
Manoj Kalyanaraman, Chief Technology Officer, Dropsuite
Read the Dropsuite case study


SEAMLESS INTEGRATION

“We needed a data repository that could expand dynamically with virtually no
maintenance, connect with other AWS services, and meet all our compliance
requirements—Amazon S3 was a perfect match.” — Juan Jose Behrend, Director of
Engineering, Pomelo
Read the Pomelo case study


A CORNERSTONE SOLUTION

“Amazon S3 is the cornerstone of our solution, and it gives us the durability
and reliability we need for storing critical data.” — Andre Sublett, Health
Cloud, Learning Factory, and Core Services engineer, GE Healthcare Digital
Read GE Healthcare Digital case study


HOW IT WORKS

Amazon S3 stores data as objects within buckets. An object is a file and any
metadata that describes the file. A bucket is a container for objects. To store
your data in Amazon S3, you first create a bucket and specify a bucket name and
AWS Region. Then, you upload your data to that bucket as objects in Amazon S3.
Each object has a key (or key name), which is the unique identifier for the
object within the bucket.

S3 provides features that you can configure to support your specific use case.
For example, you can use S3 Versioning to keep multiple versions of an object in
the same bucket, which allows you to restore objects that are accidentally
deleted or overwritten. Buckets and the objects in them are private and can only
be accessed with explicitly granted access permissions. You can use bucket
policies, AWS Identity and Access Management (IAM) policies, S3 Access Points,
and access control lists (ACLs) to manage access.


 Enlarge and read image description.
Close

The diagram shows how to move data to Amazon S3, manage stored data in Amazon
S3, and analyze data with other services. Three sections display from left to
right.



The first section has an illustration of a database, a server, and a document.
The first section is titled "Move data." The first section says, "Move your data
to Amazon S3 from wherever it lives – in the cloud, in applications, or
on-premises." Nearby icons show different types of data: "analytics data," "log
files," "application data," "video and pictures," and "backup and archival."



The second section has an illustration of an empty bucket. The second section is
titled "Amazon S3." The second section says, "Object storage built to store and
retrieve any amount of data from anywhere."



The second section has more text under the heading "Store data." The text says,
"Create bucket, specify the Region, access controls, and management options.
Upload any amount of data." A nearby illustration shows a bucket that contains a
square, a circle, and a triangle.
The second section also has icons that show Amazon S3 features. The features are
"Control access to data," "Optimize cost with storage classes," "Replicate data
to any Region," "Access from on-premises or VPC," "Protect and secure your
data," and "Gain visibility into your storage."



The third section is titled "Analyze data." The third section says, "Use AWS and
third-party services to analyze your data to gain insights." Nearby icons show
ways of analyzing data: "artificial intelligence (AI)," "advanced analytics,"
and "machine learning (ML)."


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