All three Cloud Computing Service Providers AWS vs Azure vs Google Cloud provide almost equivalent services and support almost equivalent platforms, operating systems, and structures. Some have differences only in name only, but their functionality is almost equivalent.
GCP, AWS and Azure are extremely reliable and constantly improving to suit modern needs. Cloud computing platforms have become one of the most preferable data storage solutions for several organizations as it eradicates the cost of managing and owning on-premises data centres.
Cloud services are safe, reliable, and flexible. Also, cloud providers offer on-demand computing resources and services within the cloud with pay-as-you-go pricing that helps organizations in saving money, which is why cloud migration services are increasing at a fast pace
Before jumping into the AWS vs Azure Vs GCP it is better to understand their features and how they support your business needs. So, while choosing the cloud platform, use the free trial version and make sure which one suits the user requirements. Also analyse your business requirements carefully before choosing a cloud provider.
Each platform has its pros and cons. AWS has the foremost reliability and enormous set of features where Google features a lesser price in exchange for fewer features. Azure has decent sets of features, compatibility, and pricing.
If you want better IAAS Infrastructure as a service or more services and tools, then choose AWS. If you want windows integration or a genuine platform as a service (PaaS) cloud provider then choose Azure.
The GCP, AWS and Azure are mature and robust cloud transformation providers. They provide a broad range of capabilities, services, and tools.
Azure leads in hybrid cloud capabilities. Azure also offers a pricing structure that’s easier to understand, estimate and manage costs than AWS. AWS is more preferred by new enterprises than Azure.
AWS VS AZURE VS GCP Comparison
The basic Infrastructure-as-a-Service (IaaS) involves 4 segments namely Computation Power and cache, Storage, Networking, and Database be it AWS or GCP or Azure. The detailed list includes the following.
- App Testing
- GIT Repositories
- Platform as service:
- Managed data warehouse
- File Storage
- Serverless computing
- API management
- Media services
- Computation Power and cache
- Storage of Object
- Multi Level Networking
- Kubernetes Management
- Managed Data Warehouse and Data Centre
1. App Testing
In AWS, a tool farm is getting used and in Azure, DevTest labs is getting used and in GCP Cloud Test lab is getting used for App Testing.
2. GIT Repositories
Amazon uses AWS source repositories and Microsoft uses Azure source repositories and GCP uses Cloud source repositories for GIT Repositories.
3. Platform as service
AWS provides Elastic Beanstalk Platform whereas Azure provides Microsoft Cloud Services and GCP gives the most popular Google App Engine as PAAS.
4. Managed data warehouse
AWS uses Redshift, Microsoft uses SQL warehouse whereas GCP uses Big Query to manage data warehouses.
5. File Storage
AWS uses EFS, Azure uses Azure Files and GCP uses ZFS and Avere for File storage.
6. Serverless computing
Aws Lambda is being used for serverless computing and in Azure, Azure functions are used whereas in google cloud, Cloud functions are used to do serverless computing.
7. API management
AWS uses Amazon API Gateway, Azure uses Azure API gateway and GCP uses Cloud endpoints for API Management.
8. Media services
AWS provides Amazon Elastic Transcoder and Azure provides Azure Media services and GCP provides Cloud video intelligence API for media services.
You can calculate your Google Cloud Platform, AWS or Azure pricing using General pricing, Free Tier, Pricing Calculator, and Total Cost of Ownership [TCO].
GCP offers better pricing as compared to AWS or Azure. Microsoft Azure has a larger revenue base than AWS ($44.7B to $35.03B), and the GCP growth rate is 53% among these 3 high-growth cloud vendors. These three vendors combined have a total revenue of $8.9B in 2019.
Google Cloud Platform is still a bit small when it comes to features and accessibility, however, GCP makes up for it in cost efficiency. Google Cloud Platform uses a pay-as-you-go pricing model and bills its customers on per second of usage. Google is putting a lot of effort to make sure that the Google Cloud Platform remains relevant to the competition.
When considering Microsoft Azure pricing, the prices will depend upon what sorts of products you employ and the server cost per hour could be around $1.0 per hour to $0.1.5 per hour.
AWS has revised its pricing a couple of times to be competitive with other cloud providers. AWS offers a free trial of their services for brand spanking new users and start-ups.
All three Providers give you a billing calculator. Billing is done per second in both AWS and GCP. The online price calculator and their links are easily available for the estimated cost of your usage for AWS, GCP and Azure.
Cost of Basic or Smallest Instance for 2 virtual CPUs and 8GB RAM: It may cost you around USD 69 per month for AWS, USD 70 per month for GCP and USD 52 per month for Azure approximately.
Cost of High end powerful largest Instance: For 3.84 TB of RAM and 128 virtual CPUs, AWS charges you around USD 3.97 per hour, For 3.89 TB of RAM and 128 vCPUs Azure charges you around USD 6.79 per hour and for .75 TB of RAM and 160 vCPUs, GCP charges only around USD 5.32 per hour.
10. Computation Power and cache
AWS leads with more than 250 Plus services and Microsoft Azure offers 100 plus services whereas GCP offers 60 plus services.
You ought to note that Aws uses Elastic Cache and Azure uses Redis Cache and GCP uses Cloud CDN. AWS utilizes EC2 (Elastic Cloud Computing) that assists organizations in scaling their computing power usage whenever needed. AWS provides matured storage capabilities like machine instances and S3.
11. Storage of Object
Azure uses Block blob for storage which consists of blocks and uploads large blobs efficiently and has storage cool and storage archive for archiving data. AWS uses S3 Digital memory and GCP uses Cloud Storage.
Purchasers can also choose the size, power, memory, temporary storage and offer networks of public cloud and personal cloud.
12. Multi Level Networking
GCP uses multi level networking, but AWS does not do that. Azure uses a virtual network for networking or content delivery and uses a VPN gateway for cross-premises connectivity and it manages with a load balancer and application gateway.
Almost all cloud providers provide you the power to implement a database in both SQL and NoSQL mode. GCP uses Google Cloud Storage, a web file storage web service that permits you to access and store data on Google Cloud Platform infrastructure.
Azure provides Microsoft SQL Server and Azure Cosmos DB a fully managed NoSQL database support.
AWS offers Amazon Aurora, MariaDB, Microsoft SQL Server, MySQL, Oracle, PostgreSQL. Amazon DynamoDB, Amazon DocumentDB, Amazon Keyspaces, and Amazon ElastiCache., RDS for NoSQL, Cosmos DB for NoSQL and Redis Cache for caching purposes.
Amazon Relational Database Service (RDS) automatically processes time-consuming tasks like database setup, software patching, hardware provisioning, and backups to provide you with resizable and cost-efficient compute capacity.
14. Kubernetes Management
All of them give excellent uses of DevOps support. GCP focuses mainly on DevOps with Docker and Kubernetes and provides containers and Kubernetes for cloud orchestration. When it involves Containers GCP works with Kubernetes only mostly but AWS uses both Docker and Kubernetes.
Aws supports both Linux and Windows OS whereas GCP is predominantly Linux based. AWS uses EKS, and Azure uses Kubernetes service whereas GCP uses Kubernetes engine to deploy Apps and uses Elastic Beanstalk, Batch, Lambda, container service etc.
AWS uses Elastic Compute Cloud (EC2) for scalable computing and management of software containers with Docker and Kubernetes through ECS (EC2 Container service) and EC2 container registry. AWS welcomes Linux users and offers several integrations for various open-source applications.
Azure Kubernetes Service a totally managed serverless Kubernetes service allows you to manage and deploy containerized applications with ease with high-grade security providing an integrated continuous Integration and Delivery (CI/CD) experience to the developers.
15. Managed Data Warehouse and Data Centre
Data Centre locations AWS has 16 and GCP has 18 prominent locations. Microsoft Azure is known for being far superior to AWS when it comes to hosting hybrid apps which use resources from both a data Centre or a private cloud with ease.
Hope you live this AWS VS AZURE VS GCP comparison.