There is a fierce three-way competition for cloud domination among AWS, Azure, and GCP. Rookies may just focus on cost when selecting a public cloud service provider, but there are other considerations to take into account as well. This article will give you a thorough comparison of AWS, Azure, and GCP.

Pros & Cons: AWS vs Azure vs GCP

1. Plays nicely with other Google service and products

2. Excellent support for containerized workloads

3. Global fiber network
1. Limited services vs AWS & Azure

2. Limited support for enterprise use cases
1. Most services available, from networking to robotics

2. Most mature

3. Considered the gold standard in cloud reliability and security

4. More compute capacity vs Azure & GCP

5. All major software vendors make their programs available on AWS
1. Dev/Enterprise support must be purchased

2. Can overwhelm newcomers with the sheer number of services and options

3. Comparatively limited options for hybrid c

1. Easy integration and migrations for existing Microsoft services

2. Many services available, including best-in-class AI, ML, and analytics services

3. Relatively cheaper for most services vs AWS & GCP

4. Great support for hybrid cloud strategies
1. Fewer service offerings vs AWS

2. Particularly geared towards enterprise customers

Features Comparison: AWS Vs Azure Vs GCP

Compute Services1) AWS Beanstalk
2) Amazon EC2
3) Amazon EC2 Auto-Scaling
4) Amazon Elastic Container Registry
5) Amazon Elastic Kubernetes Service
6) Amazon Lightsail
7) AWS Serverless Application Repository
8) VMware Cloud for AWS
9) AWS Batch
10) AWS Fargate
11) AWS Lambda
12) AWS Outposts
13) Elastic Load Balancing
1) Platform-as-a-service (PaaS)
2) Function-as-a-service (FaaS)
3) Service Fabric
4) Azure Batch
5) Cloud Services
6) Container Instances Batch
7) Azure Container Service (AKS)
8) Virtual Machines Compute Engine
9) Virtual Machine Scale Sets
1) App Engine
2) Docker Container Registry
3) Instant Groups
4) Compute Engine
5) Graphics Processing Unit (GPU)
6) Knative
7) Kubernetes
8) Functions
Storage Services1) Simple Storage Service (S3)
2) Elastic Block Storage (EBS)
3) Elastic File System (EFS)
4) Storage Gateway
5) Snowball
6) Snowball Edge
7) Snowmobile
1) Blob Storage
2) Queue Storage
3) File Storage
4) Disk Storage
5) Data Lake Store
1) Cloud Storage
2) Persistent Disk
3) Transfer Appliance
4) Transfer Service
AI/ML1) SageMaker
2) Comprehend
3) Lex
4) Polly
5) Rekognition
6) Machine Learning
7) Translate
8) Transcribe
9) DeepLens
10) Deep Learning AMIs
11) Apache MXNet on AWS
12) TensorFlow on AWS
1) Machine Learning
2) Azure Bot Service
3) Cognitive Services
1) Cloud Machine Learning Engine
2) Dialogflow Enterprise Edition
5) Cloud Natural Language
6) Cloud Speech API
7) Cloud Translation API
8) Cloud Video Intelligence
9) Cloud Job Discovery (Private Beta)
Database Services1) Aurora
2) RDS
3) DynamoDB
4) ElastiCache
5) Redshift
6) Neptune
7) Database Migration Service
1) SQL Database
2) Database for MySQL
3) Database for PostgreSQL
4) Data Warehouse
5) Server Stretch Database
6) Cosmos DB
7) Table Storage
8) Redis Cache
9) Data Factory
1) Cloud SQL
2) Cloud Bigtable
3) Cloud Spanner
4) Cloud Datastore
Backup ServicesGlacier1) Archive Storage
2) Backup
3) Site Recovery
1) Nearline (frequently accessed data)
2) Coldline (infrequently accessed data)
Serverless computing1) Lambda
2) Serverless Application Repository
FunctionsGoogle Cloud Functions
Strengths1) Dominant market position
2) Extensive, mature offerings
3) Support for large organizations
4) Global reach
5) Flexibility and a wider range of services
1) Second largest provider
2) Integration with Microsoft tools and software
3) Broad feature set
4) Hybrid cloud
5) Support for open source
6) Ideal for startups and developers
1) Designed for cloud-native businesses
2) Commitment to open source and portability
3) Flexible contracts
4) DevOps expertise
5) Complete container-based model
6) Most cost-efficient
CachingElastic CacheRedis CacheCloud CDN
File StorageEFSAzure FilesZFS and Avere
NetworkingAmazon Virtual Private Cloud (VPC)Azure Virtual Network (VNET)Cloud Virtual Network
SecurityAWS Security HubAzure Security CenterCloud Security Command Center
Location77 availability zones within 24 geographic regionsPresence in 60+ regions across the worldPresence in 24 regions and 73 zones. Available in 200+ countries and territories
DocumentationBest in classHigh qualityHigh quality
DNS ServicesAmazon Route 53Azure Traffic ManagerCloud DNS
NotificationsAmazon Simple Notification Service (SNS)Azure Notification HubNone
Load BalancingElastic Load BalancingLoad Balancing for AzureCloud Load Balancing
AutomationAWS OpsworksAzure AutomationCompute Engine Management
ComplianceAWS CloudHSMAzure Trust CenterGoogle Cloud Platform Security
Pricing/ Discount OptionsOne-year free trial along with a discount of up to 75% for a 1-3 year commitmentUp to 75% discount for a commitment ranging from one to three yearsGCP Credit of $300 for 12 months apart from a sustained use discount of up to 30%

The Selection Dilemma

The Big Three are fighting for cloud supremacy. While other companies, including as IBM and Oracle, have entered the cloud services market, they are still a long way from capturing a large part of the market. Each of the three cloud platforms, AWS, Azure, and GCP, is distinct in its own way and provides a myriad of possibilities for enterprises to choose from based on their own needs. It remains to be seen whether AWS will maintain its dominance or whether the others will catch up in the near future.


Still unsure about which cloud suits you best? We are here to solve your dilemma. Cogni Consulting, a leading cloud solutions provider, has helped numerous clients to migrate their infrastructure to cloud.

Get in touch with us now! Our experts will take care of everything, while you scale your business.

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