COMPUTE SERVICES
EC2
Virtual Machines
Compute Engine
Elastic Container Service
Virtual Machine Scale Sets
Kubernetes
Elastic Container Service for
Azure Container Service
Functions
Kubernetes
(AKS)
Container Security
Elastic Container Registry
Container Instances
Graphics Processing Unit
Lightsail
Batch
(GPU)
Batch
Service Fabric
App Engine
Cloud Services
Knative
Elastic Beanstalk Fargate
STORAGE SERVICES
Simple Storage Service (S3)
Blob Storage
Cloud Storage
Elastic Block Storage (EBS)
Queue Storage
Persistent Disk
Elastic File System (EFS)
File Storage
Transfer Appliance
Storage Gateway
Disk Storage
Transfer Service
Snowball
Data Lake Store
Snowball Edge Snowmobile
MACHINE LEARNING
SageMaker
Machine Learning
Cloud Machine Learning Engine
AML Apache MXNet on AWS TensorFlow on AWS
STRENGTHS
Dominant market position
Second largest provider
Designed for cloud-native
Extensive, mature offerings
Integration with Microsoft
businesses
Support for large organizations
tools and software
Commitment to open
Extensive training
Broad feature set
source and portability
Hybrid cloud
Deep discounts and
Support for open source
flexible contracts
Global reach
DevOps expertise
WEAKNESSES
Difficult to use
Issues with documentation
Cost management
Incomplete management
Overwhelming options
tooling
Late entrant to IaaS market Fewer features and services Historically not as enterprise focused
HTTPS://MILDAINTRAININGS.COM/BLOGS/AWS-VS-AZURE-VS-GOOGLE-CLOUD-COMPARISON/
FOR REFERENCE: HTTPS://MILDAINTRAININGS.COM/