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Simplified compute platform for small applications
EC2 Auto Scaling
VM Scale Sets
Instance Groups
Autoscaling
Dynamic resource scaling based on demand
2. Storage Services
AWS
Azure
GCP
OCI
Description
S3
Blob Storage
Cloud Storage
Object Storage
Scalable object storage with 99.999999999% durability
EBS
Managed Disks
Persistent Disk
Block Volume
High-performance block storage for VM attachments
EFS
Azure Files
Filestore
File Storage
Fully managed NFS file systems
Storage Gateway
StorSimple
Storage Transfer
Storage Gateway
Hybrid storage with local caching
S3 Glacier
Archive Storage
Archive Storage
Archive Storage
Long-term storage at reduced costs
3. Database Services
AWS
Azure
GCP
OCI
Description
RDS
Azure SQL Database
Cloud SQL
Database
Managed relational databases with automated maintenance
DynamoDB
Cosmos DB
Firestore
NoSQL Database
Fully managed NoSQL with millisecond response times
ElastiCache
Cache for Redis
Memorystore
Cache
In-memory caching for performance optimization
Redshift
Synapse Analytics
BigQuery
Data Warehouse
Petabyte-scale data warehousing solutions
Aurora
Azure SQL Database
Cloud Spanner
Database
Distributed databases with global consistency
4. Networking Services
AWS
Azure
GCP
OCI
Description
VPC
Virtual Network
VPC
Virtual Cloud Network
Isolated network environments with custom topology
Route 53
Azure DNS
Cloud DNS
DNS
Global DNS management with automated health checks
CloudFront
CDN
Cloud CDN
CDN
Global content delivery with edge caching
Direct Connect
ExpressRoute
Cloud Interconnect
FastConnect
Dedicated network connections to cloud resources
API Gateway
API Management
Cloud Endpoints
API Gateway
Full lifecycle API management and security
PrivateLink
Private Link
Private Service Connect
Service Gateway
Private connectivity to services without internet exposure
5. Security Services
AWS
Azure
GCP
OCI
Description
IAM
Entra ID
Cloud IAM
Identity & Access
Fine-grained access control and identity management
KMS
Key Vault
Cloud KMS
Key Management
Encryption key creation and management
Shield
DDoS Protection
Cloud Armor
WAF
DDoS mitigation and application protection
Security Hub
Security Center
Security Command
Cloud Guard
Centralized security management and monitoring
6. AI and Machine Learning Services
AWS
Azure
GCP
OCI
Description
SageMaker
Azure ML
Vertex AI
OCI ML
End-to-end ML platform
Bedrock
Azure OpenAI
Vertex AI
--
Foundation model service
Rekognition
Computer Vision
Vision AI
Vision
Image and video analysis
Comprehend
Text Analytics
Natural Language
Language
Natural language processing
Polly
Speech Services
Text-to-Speech
Speech
Text-to-speech service
Lex
Bot Service
Dialogflow
Digital Assistant
Conversational AI
Personalize
Personalizer
Recommendations AI
--
Recommendation systems
Textract
Form Recognizer
Document AI
Vision
Document processing
Forecast
Forecasting
--
--
Time-series forecasting
Key Differentiators
AWS
Largest Service Portfolio: 200+ fully featured services
Global Infrastructure: 84 availability zones across 26 geographic regions
Serverless Leadership: Advanced event-driven architecture with Lambda
Container Ecosystem: Deep integration with Kubernetes and proprietary ECS
Example: Lambda@Edge enables global serverless computing at CDN edge locations
Azure
Microsoft Integration: Seamless Active Directory (Entra ID) and Office 365 integration
Hybrid Capabilities: Azure Arc enables consistent management across environments
Enterprise Focus: Comprehensive Windows workload support
.NET Integration: Native support for .NET development and deployment
Example: Azure Stack HCI provides consistent hybrid cloud experience
GCP
AI/ML Excellence: Industry-leading machine learning tools and infrastructure
Example: TPU (Tensor Processing Units) provide specialized ML hardware
Pre-trained models available through AI Hub
Network Performance: Private fiber network spanning global regions
Example: Premium tier networking reduces latency by 41% compared to standard
Sustainability Leadership: Pioneer in environmental responsibility
Example: Carbon-neutral since 2007, 100% renewable energy matched
Most energy-efficient data centers (PUE of 1.1)
Open Source Leadership: Deep integration with popular open source tools
Example: Anthos enables management of workloads across clouds
Analytics Capabilities: Powerful data processing at scale
Example: BigQuery processes petabytes with zero infrastructure management
OCI
Oracle Workload Optimization: Purpose-built for Oracle databases
Example: RAC support with 50-100% better performance than on-premises
Predictable Pricing: Simple, consistent pricing model
Example: No charges for data egress between regions
Bare Metal Performance: Direct hardware access without virtualization
Example: Up to 51.2 TB of NVMe storage per instance
Alternative: AWS Outposts for AWS-specific workloads
Final Note
This guide serves as a starting point for understanding the major cloud platforms. Cloud services evolve rapidly, with providers constantly introducing new features and services. While studying, focus on understanding the core concepts and key differences between providers rather than memorizing specific details. The fundamental architectural patterns and service categories tend to remain consistent even as the technology advances.
