Difference between AWS, Azure, and Google Cloud Platform
Amazon Web Services (AWS)
Amazon Web Services (AWS) is a cloud computing platform which was introduced in 2002. It offers a wide range of cloud services such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
AWS provides the largest community with millions of active customers as well as thousands of partners globally. Most of the organizations use AWS to expand their business by moving their IT management to the AWS.
Flexibility, security, scalability, and better performance are some important features of AWS.
Microsoft Azure
Microsoft Azure is also called as Windows Azure. It is a worldwide cloud platform which is used for building, deploying, and managing services. It supports multiple programming languages such as Java, Nodejs, C, and C#. The advantage of using Microsoft Azure is that it allows us to a wide variety of services without arranging and purchasing additional hardware components.
Microsoft Azure provides several computing services, including servers, storage, databases, software, networking, and analytics over the Internet.
Google Cloud Platform (GCP)
Google Cloud Platform (GCP) is introduced by Google in 2011. It allows us to use Google’s products such as Google search engine, Gmail, YouTube, etc. Most of the companies use this platform to easily build, move, and deploy applications on the cloud. It allows us to access these applications using a high-speed internet connection. The advantage of GCP is that it supports various databases such as SQL, MYSQL, Oracle, Sam, and more.
Google Cloud Platform (GCP) provides various cloud computing services, including computing, data analytics, data storage, and machine learning.
Difference between AWS, Azure, and Google Cloud Platform (GCP)
Although AWS, Microsoft Azure, and Google cloud platforms offer various high-level features in terms of computing, management, storage, and other services, but there are also some differences between these three.
The below table shows the difference between AWS, Azure, and Google Cloud Platform –
Parameter | AWS | Azure | Google Cloud Platform |
---|---|---|---|
App Testing | It uses device farm | It uses DevTest labs | It uses Cloud Test labs. |
API Management | Amazon API gateway | Azure API gateway | Cloud endpoints. |
Kubernetes Management | EKS | Kubernetes service | Kubernetes engine |
Git Repositories | AWS source repositories | Azure source repositories | Cloud source repositories. |
Data warehouse | Redshift | SQL warehouse | Big Query |
Object Storage | S3 | Block Blobs and files | Google cloud storage. |
Relational DB | RDS | Relational DBs | Google Cloud SQL |
Block Storage | EBS | Page Blobs | Persistent disks |
Marketplace | AWS | Azure | G suite |
File Storage | EFS | Azure Files | ZFS and Avere |
Media Services | Amazon Elastic transcoder | Azure media services | Cloud video intelligence API |
Virtual network | VPC | VNet | Subnet |
Pricing | Per hour | Per minute | Per minute |
Maximum processors in VM | 128 | 128 | 96 |
Maximum memory in VM (GiB) | 3904 | 3800 | 1433 |
Catching | ElasticCache | RedisCache | CloudCDN |
Load Balancing Configuration | Elastic Load Balancing | Load Balancer Application Gateway | Cloud Load Balancing |
Global Content Delivery Networks | CloudFront | Content Delivery Network | Cloud Interconnect |