Amazon S3
Object storage built to retrieve any amount of data from anywhereWhat 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
Use cases
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.
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.
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.
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.
Customers
Industry-leading scalability
Cost savings
Seamless integration
A cornerstone solution
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.
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)."