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Object storage built to retrieve any amount of data from anywhere
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.
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.
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.
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.
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.
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.
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.
Move data archives to the Amazon S3 Glacier storage classes to lower costs, eliminate operational complexities, and gain new insights.
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.
“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
“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
"We want to have a forward-looking strategy, with tools like flexible storage and compute that facilitate the use of machine learning. Our goal is to safeguard the content in the archives so that it’s accessible for another 100 years.” — Brendan Mallon, head of product and services in BBC Archives Technology and Services
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.
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