Cloud Strategy

Cloud Services Comparison 2025

Service Type Comparison Across Major Cloud Providers

Service Type	Azure	AWS	GCP
Compute
Virtual Machines	Azure Virtual Machines	Amazon EC2	Compute Engine
Container Orchestration	Azure Kubernetes Service (AKS)	Amazon EKS	Google Kubernetes Engine (GKE)
Serverless	Azure Functions	AWS Lambda	Cloud Functions
Container Registry	Azure Container Registry	Amazon ECR	Artifact Registry
Storage
Object Storage	Azure Blob Storage	Amazon S3	Cloud Storage
File Storage	Azure Files	Amazon EFS	Filestore
Block Storage	Azure Managed Disks	Amazon EBS	Persistent Disk
Database
Relational DB	Azure SQL Database	Amazon RDS	Cloud SQL
NoSQL	Azure Cosmos DB	Amazon DynamoDB	Firestore
Data Warehouse	Azure Synapse Analytics	Amazon Redshift	BigQuery
In-Memory Cache	Azure Cache for Redis	Amazon ElastiCache	Memorystore
Networking
Virtual Network	Azure Virtual Network	Amazon VPC	Virtual Private Cloud
Load Balancer	Azure Load Balancer	ELB	Cloud Load Balancing
CDN	Azure CDN	Amazon CloudFront	Cloud CDN
DNS	Azure DNS	Route 53	Cloud DNS
Security
Identity Management	Azure Active Directory	AWS IAM	Cloud Identity
Key Management	Azure Key Vault	AWS KMS	Cloud KMS
DDoS Protection	Azure DDoS Protection	AWS Shield	Cloud Armor
AI/ML
Machine Learning	Azure Machine Learning	Amazon SageMaker	Vertex AI
Cognitive Services	Azure Cognitive Services	AWS AI Services	Cloud AI
GenAI/LLMs	Azure OpenAI Service	Amazon Bedrock	Vertex AI
DevOps
CI/CD	Azure DevOps	AWS CodePipeline	Cloud Build
Monitoring	Azure Monitor	Amazon CloudWatch	Cloud Monitoring
Log Analytics	Azure Log Analytics	CloudWatch Logs	Cloud Logging
IoT
IoT Platform	Azure IoT Hub	AWS IoT Core	Cloud IoT Core
Edge Computing	Azure IoT Edge	AWS Greengrass	Edge TPU

Key Considerations for Service Selection

1. Compute Services

   • VM pricing models and instance types

   • Container orchestration features

   • Serverless execution limits and pricing

2. Storage Solutions

   • Data residency requirements

   • Performance tiers

   • Replication options

3. Database Options

   • Scaling capabilities

   • Backup and DR features

   • Migration tools

4. AI/ML Services

   • Model training capabilities

   • Pre-trained models availability

   • Integration with existing tools

5. Security & Compliance

   • Certification standards

   • Identity management features

   • Encryption options

6. Cost Management

   • Pay-as-you-go vs reserved instances

   • Data transfer costs

   • Resource management tools

Public Clouds

Related Topics

• Azure - Microsoft's cloud computing platform
• AWS - Amazon Web Services platform
• Google Cloud - Google Cloud Platform
• Private Cloud - On-premises implementations
• Infrastructure as Code - Automating cloud resource provisioning
• Cloud Compliance - Regulatory considerations
• Security Frameworks - Securing cloud environments
• Azure Landing Zones - Enterprise-scale Azure foundations