Hey everyone, we are back with yet another blog about the cloud. We have three major cloud platforms available with us AWS, AZURE, and GCP, each having 100s of services loaded. It becomes really difficult for an individual to grasp the names and remember their functioning. So, we decided to prepare a difference table that will help the majority of people in the cloud journeys of AWS, AZURE, and GCP.
Being a cloud enthusiast, I know how important it is to remember the service’s name so that it can be used when needed, without googling and spending hours researching.
So, let’s begin with the differences between the three!!
Difference between the three Clouds Components
Amazon Web Services | Azure | Google Cloud Platform | |
---|---|---|---|
Availability Regions | AWS Regions and Zones | Azure Regions | Google Compute Regions & Zones |
Compute Services | Elastic Compute Cloud (EC2) | Virtual Machines(VM) | Compute Engine |
App Hosting | Amazon Elastic Beanstalk | Azure Cloud Service | Google App Engine |
Serverless Computing | Amazon Lambda | Azure Functions | Google Cloud Functions |
Container Support | Elastic Container Service | Azure Container Service | Container Engine |
Scaling Options | Auto Scaling | Azure Autoscale | Autoscaler |
Object Storage | Amazon Simple Service Storage | Azure Blob Storage | Cloud Storage |
Block Storage | Amazon Elastic Block Storage | Azure Managed Storage | Persistent Disk |
Content Delivery Network(CDN) | Amazon Cloudfront | Azure CDN | Cloud CDN |
SQL Database Option | Amazon RDS | Azure SQL | Cloud SQL |
NoSQL Database Option | AWS DynamoDB | Azure DocumentDB | Cloud Datastore |
Virtual Network | Amazon VPC | Azure Virtual Network | Cloud Virtual Network |
Private Connectivity | Amazon Direct Connect | Azure Express Route | Cloud InterConnect |
DNS Service | Amazon Route53 | Azure Traffic Manager | Cloud DNS |
Log Monitoring | Amazon CloudTrail | Azure Operational Insights | Cloud Logging |
Performance Monitoring | Amazon CloudWatch | Azure Application Insights | Stack Driver Monitoring |
Administration and Security | Amazon Identity and Access Management(IAM) | Azure Active Directory(AD) | Cloud Identity and Access Management(IAM) |
Compliance | Amazon CloudHSM | Azure Trust Center | Google Cloud Platform Security |
Analytics | Amazon Kinesis | Azure Stream Analytics | Cloud Dataflow |
Load Balancing | Elastic Load Balancing | Load Balancing for Azure | Cloud Load Balancing |
So this was a brief summary of the different services used by three leading cloud services. I hope you find this useful. We will try to bring more such blogs to improve your earning and technology experience.
If you have any queries please feel free to post them in the comments section or anything that you want to ask through mail contact.
Thank you!!
Also, read
- Get Started with Terraform Script for AWS – with Examples
- AWS Cloud Practitioner Certification – Questions & Answers
- AWS Cloud Practitioner Certification Essentials
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