Amazon S3

Use cases

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  Backup and restore

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    Companies in the advertising technology (ad tech) vertical use DynamoDB as a key-value store for storing various kinds of marketing data, such as user profiles, user events, clicks, and visited links. Applicable use cases include real-time bidding (RTB), ad targeting, and attribution. These use cases require a high request rate (millions of requests per second), low predictable latency, and reliability. Companies use caching through DynamoDB Accelerator (DAX) when they have high read volumes or need submillisecond read latency. Increasingly, ad tech companies need to deploy their RTB and ad targeting platforms in more than one geographical AWS Region, which requires data replication between Regions.

    
    
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  Disaster recovery (DR)

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    Protect critical data, applications, and IT systems that are running in the AWS Cloud or in your on-premises environment without incurring the expense of a second physical site. With Amazon S3 storage, S3 Cross-Region Replication, and other AWS compute, networking, and database services, you can create DR architectures in order to quickly and easily recover from outages caused by natural disasters, system failures, and human errors.

    
    
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  Archive

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    Retire physical infrastructure, and archive data with S3 Glacier and S3 Glacier Deep Archive. These S3 Storage Classes retain objects long-term at the lowest rates. Simply create an S3 Lifecycle policy to archive objects throughout their lifecycles, or upload objects directly to the archival storage classes. With S3 Object Lock, you can apply retention dates to objects to protect them from deletions, and meet compliance requirements. Unlike tape libraries, S3 Glacier lets you restore archived objects in as little as one minute for expedited retrievals and 3-5 hours for standard retrievals. Bulk data restores from S3 Glacier and all restores from S3 Glacier Deep Archive are completed within 12 hours.

    
    
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  Data lakes and big data analytics

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    Accelerate innovation by creating a data lake in Amazon S3, and extract valuable insights using query-in-place, analytics, and machine learning tools. You can also use AWS Lake Formation to quickly create a data lake, and centrally define and enforce security, governance, and auditing policies. The service collects data across your databases and S3 resources, moves it into a new data lake in Amazon S3, and cleans and classifies it using machine learning algorithms. All AWS resources can be scaled up to accommodate your expanding data stores — without upfront investments.