Amazon S3

Business Profile

Core Value Proposition

Amazon S3 provides scalable, durable, and secure cloud object storage for data lakes, cloud-native apps, backup/archival, analytics, ML/AI workloads, and more.

Target Customer

IT decision makers, developers, data engineers, and cloud architects at organizations needing scalable, secure object storage for data lakes, analytics, AI/ML, backups, and archiving.

Key Differentiator

11 nines data durability and 99.99% availability by default, auto-scaling with pay-as-you-use pricing, multiple storage classes (including Glacier) for cost optimization, and strong security/access controls with auditing and encryption by default.

Implementation Timeline

Not specified in content. Some case studies mention rapid archival/restoration (hours) but no general implementation timeline is provided.

Pain Points

1Need to store extremely large or exabyte-scale datasets without provisioning ahead of time
2Require extremely high durability and availability for critical data
3Need cost-effective storage options and lifecycle management to optimize storage costs and compliance

Key Features

1Unlimited scalability for objects stored in buckets
2Multiple storage classes with lifecycle management (e.g., Standard, Glacier, Glacier Deep Archive)
3Versioning, encryption by default, and comprehensive access controls (IAM, bucket policies, ACLs, S3 Access Points)
4Data protection, replication options, and auditing capabilities
5Tight integration with AWS services to enable data lakes, analytics, and AI/ML workflows

Target Customer Industries

Decision Makers

1Chief Technology Officer
2CTO
3Senior Director of Media and Event Technology
4Director of Engineering
5Engineer (Health Cloud, Learning Factory, and Core Services) – GE Healthcare Digital
6Engineer (Pomelo case study)

Client Results

1NASCAR: migrated media libraries to S3 to enable scalable storage and more time for developing new workflows
2Dropsuite: achieved 400% growth while optimizing IT budgets and extending impact
3Pomelo: built a dynamic, low-maintenance data repository that connects with AWS services and meets compliance
4GE Healthcare Digital: S3 as a cornerstone for storing critical data with durability and reliability
5BBC: migrated 100-year archive to S3 Glacier Instant Retrieval
6Ancestry: restored terabytes of images in hours using Glacier storage classes
7Salesforce: data lake enabling secure, governed data discovery and analytics

Competitive Advantages

1Industry-leading durability and availability (11 nines/99.99%)
2Pay-as-you-use pricing with automatic scaling
3Cost-effective storage classes and automated lifecycle management
4Strong security features: encryption by default, auditing, and granular access controls
5Seamless integration with AWS services and data lake/analytics ecosystems

Key Benefits

1Massive scalability to exabytes

2High durability and availability (11 nines/99.99%)

3Security by default with encryption, auditing, and access controls

4Cost efficiency through storage classes and lifecycle management

5Data lake and AI/ML readiness with seamless AWS integration

Case Studies & Success Stories

Salesforce case study

Case #1

Using an Amazon S3 data lake to discover, access, and analyze all data in a secure and governed way.

Ancestry case study

Case #2

Uses S3 Glacier storage classes to restore terabytes of images in hours instead of days.

BBC case study

Case #3

Migrated the BBC's 100-year flagship archive to Amazon S3 Glacier Instant Retrieval.

NASCAR case study

Case #4

Modernizing the technology stack by migrating video, audio, and image libraries to S3 for scalability and efficiency.

Dropsuite case study

Case #5

Used S3 to support 400% growth and optimize IT budgets while expanding customer reach.

Pomelo case study

Case #6

Selected S3 as a dynamic, low-maintenance data repository that connects with AWS services while meeting compliance.

GE Healthcare Digital case study

Case #7

S3 as a cornerstone solution for storing critical data with durability and reliability.

Grendene case study

Case #8

Built a data lake on S3 to power a generative AI-based sales assistant.

Additional Product Information

Product Description

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

Target Market

Organizations needing scalable, secure object storage for data lakes, backups, archives, analytics, and AI/ML workloads; customers across industries.

Unique Value Proposition

Scalable, durable, secure cloud object storage with pay-as-you-go pricing, multiple storage classes for cost optimization, and seamless integration with AWS services for data lakes and analytics.

Technical Requirements

Uses buckets and objects; requires IAM policies, bucket policies, access points, ACLs; supports S3 Versioning, encryption by default; supports replication and auditing.

Pricing Model

Pay-as-you-go pricing; AWS Free Tier available; multiple storage classes with different costs; no upfront provisioning.

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