AWS vs Azure vs Google Cloud Platform
Amazon Web Services
- Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, offering over 175 fully featured services from data centers globally.
- Amazon Web Services may be a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis.
- Flexibility, security, scalability, and better performance are some important features of AWS.
Microsoft Azure
- Microsoft Azure , commonly mentioned as Azure may be a cloud computing service created by Microsoft for building, testing, deploying, and managing applications and services through Microsoft-managed data centers.
- Azure may be a public cloud computing platform with solutions including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) which will be used for services like analytics, virtual computing, storage, networking, and etc.,
Google Cloud Platform - GCP
- Google Cloud Platform (GCP), offered by Google , may be a suite of cloud computing services that runs on an equivalent infrastructure that Google uses internally for its end-user products, like Google Search, Gmail, file storage, and YouTube . The service became generally available in November 2011. The advantage of GCP is that it supports various databases like 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)
![AWS vs Azure vs Google Cloud Platform](https://cdn.wikitechy.com/tutorial/cloud-computing/aws-vs-azure-vs-google-cloud-platform.png)
AWS vs Azure vs Google Cloud Platform
Parameter | AWS | Azure | Google Cloud Platform |
---|---|---|---|
App Testing | uses device farm | uses DevTest labs | 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 |
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