Amazon S3
Business Profile
Core Value Proposition
Amazon S3 provides cloud object storage with industry-leading scalability, data availability, security, and performance.
Target Customer
IT teams, data engineers, developers, data scientists, and business units needing scalable storage for data lakes, cloud-native apps, backups, archiving, IoT, ML/AI, and analytics
Key Differentiator
Ultra-high durability and availability (11 nines durability and 99.99% availability by default), automatic elastic growth, pay-as-you-use pricing, zero provisioning, and extensive integration with AWS services including data lakes, lifecycle management, and governance features
Implementation Timeline
Not specified in content; case studies imply value realization upon deployment of data lake/storage and integration with AWS services
Pain Points
- 1Need for scalable, durable storage capable of handling massive data volumes (exabytes) and high request rates
- 2Requirement for secure, private storage with robust access control, auditing, and compliance capabilities
- 3Desire to optimize costs across hot, warm, and cold data through storage classes and automated lifecycle management
Key Features
- 1Object storage with buckets and objects (data organized by key names)
- 2Multiple storage classes with lifecycle management for cost optimization
- 3S3 Versioning to preserve, restore, and recover previous versions of objects
- 4Fine-grained access control via bucket policies, IAM, S3 Access Points, and ACLs
- 5Strong security features including encryption by default and auditing capabilities
- 6Seamless integration with AWS ecosystem to build data lakes and analytics workflows
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
- 1Salesforce uses an S3 data lake to discover, access, and analyze data across environments in a secure and governed way
- 2Ancestry uses S3 Glacier storage classes to restore terabytes of images in hours rather than days
- 3BBC migrated a 100-year archive to S3 Glacier Instant Retrieval, enabling archival preservation
- 4Grendene leveraged a data lake on S3 to power a generative AI-based virtual assistant for sales
- 5Dropsuite leveraged S3 to support rapid growth and optimize IT budgets while serving a growing customer base
- 6Pomelo adopted a dynamic, scalable data repository that integrates with other AWS services and meets compliance requirements
- 7GE Healthcare Digital states S3 is the cornerstone for durable, reliable storage of critical data in Health Cloud and related services
Competitive Advantages
- 1Industry-leading scalability and performance for large-scale data needs
- 2Extremely high durability (11 nines) and reliable availability (99.99%) by default
- 3Strong security posture with encryption, auditing, and configurable access controls
- 4Cost efficiency through multiple storage classes and automated lifecycle management
- 5No provisioning required and pay-as-you-use pricing, with deep integration into the AWS ecosystem
Key Benefits
Case Studies & Success Stories
Salesforce case study
Salesforce uses an Amazon S3 data lake to discover, access, and analyze data across environments in a secure and governed way
Ancestry case study
Ancestry uses S3 Glacier storage classes to restore terabytes of images in hours instead of days
BBC case study
BBC migrated its 100-year flagship archive to Amazon S3 Glacier Instant Retrieval
Grendene case study
Grendene created a generative AI-based virtual assistant for their sales team using a data lake built on Amazon S3
Dropsuite case study
Dropsuite optimized storage usage and IT budgets while serving a growing customer base by leveraging Amazon S3
Pomelo case study
Pomelo's data repository expanded dynamically, connected with other AWS services, and met compliance requirements using S3
GE Healthcare Digital case study
GE Healthcare Digital states that S3 is the cornerstone for durable, reliable storage of critical data in Health Cloud and related services
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 applications, backups, archives, IoT, ML/AI, and analytics
Target Market
Enterprises and developers needing scalable, secure, and cost-efficient object storage for data lakes, backups, archiving, and analytics across industries
Unique Value Proposition
Unmatched scalability and durability, robust security and governance, flexible storage classes and lifecycle management, and seamless AWS ecosystem integration for building data-driven applications
Technical Requirements
Data stored as objects in buckets; manage access with bucket policies, IAM, and ACLs; use S3 Versioning; manage data with lifecycle policies; enable encryption and auditing
Pricing Model
Pay-as-you-go pricing with multiple storage classes; AWS Free Tier available for initial usage
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