Amazon S3 (Amazon Simple Storage Service)
Business Profile
Core Value Proposition
Amazon S3 provides scalable, durable, secure object storage for data lakes, cloud-native apps, backup and restore, archival, IoT, ML, AI, and analytics.
Target Customer
Organizations and teams needing reliable, scalable object storage to store, manage, and analyze large volumes of data (data engineers, developers, IT, data scientists).
Key Differentiator
11 nines data durability and 99.99% availability by default, with auto-scaling, pay-as-you-use pricing, multiple storage classes (including Glacier) and robust data lifecycle management, and strong security controls.
Implementation Timeline
Not specified in provided content
Pain Points
- 1Managing rapidly growing data volumes without provisioning
- 2Ensuring data durability, availability, and security/compliance
- 3Cost-effective archival and lifecycle management for large datasets
Key Features
- 1Massive scalability up to exabytes with auto-scaling; no provisioning
- 211 nines durability and 99.99% availability
- 3Multiple storage classes including S3 Glacier for archive
- 4Fine-grained access controls (IAM, policies, ACLs, Access Points)
- 5Data lifecycle management and versioning; encryption by default
Target Customer Industries
Decision Makers
- 1Senior Director of Media and Event Technology
- 2Chief Technology Officer
- 3Director of Engineering
- 4Engineer, Health Cloud, Learning Factory, and Core Services
Client Results
- 1Rapid restoration of terabytes of images in hours using Glacier (Ancestry)
- 2100-year archive migrated to Glacier Instant Retrieval (BBC)
- 3Generative AI-based sales assistant built on a data lake (Grendene)
- 4Data lake enabling unified data discovery and analysis for Salesforce
- 5NASCAR modernization of media libraries to S3 for scalable, efficient workflows
- 6Cost savings and budget efficiency through scalable S3 usage (Dropsuite)
- 7Dynamically expanding data repository meeting compliance and AWS integrations (Pomelo)
- 8Durable, reliable storage foundation for health cloud and core services (GE Healthcare Digital)
Competitive Advantages
- 1Industry-leading durability and availability
- 2No provisioning required; pay-as-you-use
- 3Integrated with AWS ecosystem; multiple storage classes
- 4Strong security and access controls; auditing
- 5Lifecycle management and data lake capabilities
Key Benefits
Case Studies & Success Stories
Salesforce case study
Using an S3 data lake to discover, access, and analyze all data securely and governed across the organization.
Ancestry case study
Uses S3 Glacier storage classes to restore terabytes of images in hours.
BBC case study
Migrated its 100-year flagship archive to Amazon S3 Glacier Instant Retrieval.
Grendene case study
Creating a generative AI-based virtual assistant for their sales team using a data lake built on Amazon S3.
NASCAR case study
Modernizing the technology stack and migrating video, audio, and image libraries to S3 for scalability and efficiency.
Dropsuite case study
Using S3 to stretch IT budgets and support customer growth through scalable storage.
Pomelo case study
Data repository expands dynamically and integrates with AWS services to meet compliance.
GE Healthcare Digital case study
S3 as the durable, reliable storage foundation for health cloud and core services.
Additional Product Information
Product Description
Object storage service offering scalability, data availability, security, and performance for data lakes, cloud-native apps, backups, archival, IoT, ML/AI, and analytics.
Target Market
Enterprises and organizations needing scalable, secure object storage for data lakes, backups, archives, and AI/ML workloads.
Unique Value Proposition
Scales to exabytes with 11 nines durability, 99.99% availability by default, no provisioning, pay-as-you-use, and a rich set of storage classes and security features integrated with AWS.
Technical Requirements
Requires AWS account and region to create buckets; uses IAM policies, bucket policies, Access Points, and ACLs for access control; data stored as objects in buckets with keys; versioning and lifecycle features available.
Pricing Model
Pay-as-you-go with multiple storage classes; AWS Free Tier available for starting; cost optimization through lifecycle management and tiering.
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