Amazon S3

Business Profile

Core Value Proposition

Amazon S3 provides scalable, durable, secure cloud object storage for virtually any data workload, from data lakes to AI/ML to backup and archiving.

Target Customer

Developers, IT teams, data engineers, data scientists, and business units in organizations needing scalable object storage for data lakes, backups, and analytics.

Key Differentiator

11 nines data durability (99.999999999%) and 99.99% availability by default, secure by default with encryption and auditing, multiple storage classes, automated lifecycle management, and seamless integration with AWS services.

Implementation Timeline

Not specified in content

Pain Points

1Need to store virtually unlimited data at scale (exabytes) with high durability and availability
2Require cost-effective storage with multiple storage classes and automated lifecycle management
3Need secure, governed access with auditable controls and data protection

Key Features

1Scalability to exabytes with elastic growth/shrink
2Multiple storage classes and automated lifecycle management
3Default encryption and comprehensive access controls (IAM, bucket policies, ACLs, Access Points)
4Object storage model with keys and metadata; supports versioning and replication options

Target Customer Industries

Decision Makers

1Senior Director of Media and Event Technology, NASCAR
2Chief Technology Officer, Dropsuite
3Director of Engineering, Pomelo
4Health Cloud, Learning Factory, and Core Services engineer, GE Healthcare Digital

Client Results

1Supports data lakes, cloud-native apps, and AI/ML workloads; enables rapid data restoration and archiving; supports generative AI initiatives; handles over 350 trillion objects and 100 million requests per second
2Enables secure data discovery, access, and analysis across organizational data stores (Salesforce case study)
3Restores terabytes of images in hours using Glacier storage classes (Ancestry case study)
4BBC migrated a 100-year archive to S3 Glacier Instant Retrieval
5Grendene building a Generative AI-based virtual assistant using a data lake on S3
6NASCAR modernization of video, audio, and image libraries via S3
7Dropsuite scaled with S3 to stretch IT budgets amid growth
8Pomelo used S3 as a dynamic data repository
9GE Healthcare Digital uses S3 as the cornerstone for storing critical data

Competitive Advantages

1Industry-leading durability and availability
2Cost optimization through multiple storage classes and automated lifecycle management
3Strong security and access controls by default with auditing
4Deep integration with AWS ecosystem and broad customer use cases

Key Benefits

1Scalability to exabytes

2High durability and availability

3Security and access controls

4Cost optimization via storage classes and lifecycle management

5Fast data retrieval and AWS ecosystem integration

Case Studies & Success Stories

Salesforce case study

Case #1

An S3 data lake enables Salesforce to discover, access, and analyze data securely and Governed, regardless of where it lives.

Ancestry case study

Case #2

Ancestry uses the Amazon S3 Glacier storage classes to restore terabytes of images in hours rather than days.

BBC case study

Case #3

BBC migrated its 100-year flagship archive to Amazon S3 Glacier Instant Retrieval.

Grendene case study

Case #4

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

NASCAR case study

Case #5

Modernizing the technology stack by migrating video, audio, and image libraries to S3 to enable broader workflows.

Dropsuite case study

Case #6

Dropsuite leverages S3 to scale with growth and optimize IT budgets.

Pomelo case study

Case #7

Pomelo selected S3 as a dynamically expandable data repository with minimal maintenance.

GE Healthcare Digital case study

Case #8

S3 is described as the cornerstone for durability and reliability when storing critical data.

Additional Product Information

Product Description

Amazon Simple Storage Service (Amazon S3) is an object storage service offering scalability, data availability, security, and performance for data lakes, cloud-native apps, mobile apps, backups, archives, ML/AI, and analytics.

Target Market

Organizations and developers needing scalable, durable object storage; data lake builders; enterprises running analytics, AI/ML, backup, and archival workloads.

Unique Value Proposition

Scalable, durable object storage with 11 nines durability, 99.99% availability, security by default, multiple storage classes, automated lifecycle management, and seamless AWS integration.

Technical Requirements

Data stored as objects in buckets; create bucket in a region; upload objects; use object keys; enable Versioning; manage access via bucket policies, IAM, Access Points, and ACLs; replication and lifecycle policies.

Pricing Model

Pay-as-you-go with multiple storage classes; AWS Free Tier available; costs based on storage used, requests, and data transfer; lifecycle management reduces costs; Glacier storage for archives

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