Amazon Simple Storage Service (Amazon S3)
Business Profile
Core Value Proposition
Amazon Simple Storage Service (Amazon S3) provides industry-leading scalability, data availability, security, and performance for data lakes, cloud-native applications, backup and restore, archival, IoT, ML, AI, and analytics.
Target Customer
IT and data teams, developers, data engineers, and decision-makers (e.g., CTOs, Heads of IT) at organizations evaluating scalable, secure object storage for data lakes, analytics, AI/ML workloads, backup/archival, and cloud-native applications.
Key Differentiator
Highest-durability, extremely high availability, and a pay-as-you-go, multi-class storage solution that integrates tightly with the broader AWS ecosystem, enabling extensive data management (versioning, lifecycle, access controls) and broad use cases from data lakes to AI workloads.
Implementation Timeline
Not specified in provided content
Pain Points
- 1Need to store virtually any amount of data with scalable performance (exabytes) without provisioning upfront.
- 2Require strong data durability (11 nines) and robust data protection, access control, and compliance mechanisms.
- 3Need cost-efficient storage with lifecycle management for frequently to rarely accessed data and seamless integration with other cloud services.
Key Features
- 1Object storage with scalable capacity (buckets/objects) and flexible storage classes
- 2Security and access controls (encryption by default, IAM, bucket policies, ACLs, Access Points)
- 3Data durability and availability guarantees (11 nines durability, 99.99% availability)
- 4Lifecycle management to automate data tiering and cost optimization
- 5Versioning, auditing, and rich integration with AWS services
Target Customer Industries
Decision Makers
- 1Senior Director of Media and Event Technology, NASCAR
- 2Chief Technology Officer, Dropsuite
- 3Director of Engineering, Pomelo
- 4Engineer (Health Cloud, Learning Factory, and Core Services), GE Healthcare Digital
- 5Generative AI projects leader (as referenced with Grendene)
- 6Other CIO/CTO-level technology decision-makers at customer organizations
Client Results
- 1Enable discovery, access, and analysis of data across environments in a governed, secure way for Salesforce
- 2Restore terabytes of images from archival storage in hours using Glacier storage classes (Ancestry)
- 3Migrate and archive a 100-year BBC archive to S3 Glacier Instant Retrieval
- 4Support a generative AI data lake for Grendene to power AI-based sales assistance
- 5Migrate and organize NASCAR’s video, audio, and image libraries to enable new workflows and efficiency
- 6Accommodate 400% growth for Dropsuite with scalable, cost-aware storage and IT budget optimization
- 7Provide a dynamically expanding data repository with easy AWS service integration and compliance for Pomelo
- 8Serve as the cornerstone/storage backbone for GE Healthcare Digital’s data storage needs
Competitive Advantages
- 1Industry-leading durability (11 nines) and high availability
- 2Pay-as-you-go model with no upfront provisioning and automatic scaling
- 3Multiple storage classes and automated lifecycle management for cost optimization
- 4Strong security and access control features, with audit capabilities
- 5Tightly integrated with the broader AWS ecosystem for data analytics, AI/ML, and IoT workloads
Key Benefits
Case Studies & Success Stories
Salesforce case study: S3 data lake enables governed data discovery and analysis
Salesforce users can discover, access, and analyze all their data across environments in a secure and governed way.
Ancestry case study: Archiving with S3 Glacier
Ancestry uses the Glacier storage classes to restore terabytes of images in hours rather than days.
BBC case study: Archive migrated to S3 Glacier Instant Retrieval
BBC safely migrated its 100-year archive to Amazon S3 Glacier Instant Retrieval.
Grendene case study: Generative AI data lake powered by S3
Grendene is creating a generative AI-based virtual assistant for its sales team using a data lake built on Amazon S3.
NASCAR case study: Modernizing the technology stack with AWS Storage
NASCAR migrated video, audio, and image libraries to S3 to enable more workflows and improved efficiency.
Dropsuite case study: Scalable storage to support rapid growth
Dropsuite outlines cost optimization and growth-enabled storage strategy with S3, as voiced by its CTO.
Pomelo case study: Dynamic data repository with AWS integration
Pomelo required a dynamically expanding repository that connects with other AWS services and meets compliance requirements.
GE Healthcare Digital case study: S3 as a cornerstone for storing critical data
S3 provides durability and reliability for storing critical data across GE Healthcare Digital's solutions.
Additional Product Information
Product Description
Object storage service designed for scalability, data availability, security, and performance across data lakes, cloud-native applications, backup/archival, IoT, and AI/ML workloads.
Target Market
Organizations of all sizes needing scalable, secure object storage for data lakes, analytics, AI/ML, backup, archival, and cloud-native applications.
Unique Value Proposition
Unmatched durability and availability at exabyte scale, with multiple storage classes, lifecycle management, and seamless integration with the AWS ecosystem for broad data processing and analytics use cases.
Technical Requirements
Uses buckets and objects; each object has a key; bucket policies, IAM policies, S3 Access Points, ACLs for access control; supports versioning; data can be encrypted; auditing capabilities; lifecycle rules for management.
Pricing Model
Pay-as-you-go, with multiple storage classes; AWS Free Tier available; pricing varies by storage class and data transfer.
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