AWS vs Azure vs Google Cloud: Detailed Comparison

AWS vs Azure vs Google Cloud: Detailed Comparison

Amazon Web Services is also known as AWS. It is a platform for cloud computing. Originally released in 2002, the AWS platform was later re-released in 2006. Amazon offers a variety of services, including Platform as a Service (PaaS), Infrastructure as a Service (IaaS), and Software as a Service (SaaS). An available cloud. AWS offers a variety of infrastructure services, including computing power. In this context, AWS offers both custom machines and virtual machines that have been configured by them.

The size, power, memory, and other options are also up to the customers. For instance, it offers networks like a public cloud and a private cloud, as well as temporary storage. Users can isolate cloud networks in a virtual private cloud.

It is possible to build subnets, private IP addresses, network gateways, and route tables. Azure is a Microsoft product that is frequently referred to as Microsoft Azure. It serves as a platform for cloud computing services. It was developed by Microsoft and was made available in 2010. Both the Linux and Windows operating systems are supported. Applications can be created, deployed, tested, and managed using it. Additionally, it offers a variety of SaaS, PaaS, and IaaS services.


When comparing various cloud service providers, the first step is to understand the history of each platform. Each service had a different beginning, which affected how providers targeted their offers.

1. Web Services from Amazon

Elastic Compute Cloud (EC2) and Simple Storage Service were two of the services offered by AWS when it became public in 2006. (Amazon S3). In addition to services such as the CloudFront and the Content Delivery Network (CDN), Elastic Block System (EBS) was made publically accessible in 2009. As one of the original cloud providers, it has a large customer base and better levels of reliability and confidence.

2. Windows Azure

 Azure, the first name of Microsoft Azure, was created in 2010 to offer businesses a strong platform for cloud computing. While "Azure" is still often used, the term "Microsoft Azure" was given to the service in 2014. Since its launch, Microsoft Azure has advanced significantly in comparison to its rivals.

3. Cloud Platform by Google

In less than ten years since its inception in 2008, Google Cloud Platform has made a significant impact on the cloud industry. Google's products, along with its wildly renowned search engine and its video streaming service, YouTube, were strengthened by Google Cloud. The Google Cloud Platform, which uses the same infrastructure as Google Search or YouTube, may now be accessed by anybody thanks to the advent of enterprise services.


The supported areas and availability should be taken into account before choosing a cloud provider. Because of problems like latency and compliance rules, especially when handling data, which have a direct impact on how well your cloud performs.

The Big Three as of September 2021 are as follows:

- 14 data centres and 22 geographic locations make up Amazon Web Service. There are 12 Regional Edge Caches and more than 114 Edge Locations.

- Microsoft Azure has 116 edge sites spread over 54 regions, each of which has at least three availability zones.

- There are 34 cloud regions, 103 zones, and over 200 edge locations in the Google Cloud Platform.


The word "compute" refers to how computers operate. For a decent cloud provider, connecting numerous nodes is simple. Here is a look at the individual computational capabilities of each platform.

The real-time flow of data and processes between applications ranging, systems, repositories, and tools and technologies is known as service integration.

VM EC2 Azure virtual machine Google compute engine
PaaS AWS Elastic beanstalk App service Google app engine
Container AWS elastic container/ kubernetes service Azure kubernetes Engine Google kubernetes engine
Server less functions AWS lambda Azure function Google Cloud functions

Essential cloud tools

The three cloud service providers are now engaged in intense competition. Based on current trends and client demands, all three vendors provide necessary tools and services and are expected to expand them in the future.

1. Key AWS Tools

Machine learning and artificial intelligence: AWS has made Gluon available. Without prior AI experience, both developers and non-developers can create neural networks using this open-source deep-learning library. An AI-powered camera called DeepLens is capable of developing and putting into practise machine learning algorithms for optical character recognition, image recognition, and object recognition.

- SageMaker: is a different AWS service that is used to develop and deploy machine learning models, and it is similar to Serverless. Along with allowing Alexa capabilities, Greengrass IoT messaging, and Lambda serverless computing, it also features the Lex conversational interface.

2. Essential Azure Tools

Cognitive Services: Among the cognitive services provided are the Face API, Computer Vision API, Custom Vision Service, and Bing Web Search API. Microsoft provides a serverless computing solution, as well as other IoT management and analytics services and tools.

Supporting Microsoft Software: Azure has a number of options that can support Microsoft software that is already installed on a computer. Azure Backup is connected to Windows Server Backup on Windows Server 2012 R2 and Windows Server 2016. Visual Studio Team Services hosts Visual Studio projects on Azure.

3. Essential Google Cloud Tools

IoT to Serverless: Google Cloud offers APIs for cutting-edge technologies including speech recognition, translation, and natural language processing. IoT and serverless services are also provided. Most of these are beta versions, though.

Big on AI: Google Cloud is currently leading the way in AI development. Credit should go to TensorFlow, an open-source software package for building machine learning applications. TensorFlow is adored by many developers.

Therefore, these are some main essential key features of tools of AWS, Azure and GCP.

Multi-Cloud & Hybrid Options 

The best cloud solution for the majority of businesses combines public and private clouds. A hybrid cloud enables you to combine a private cloud, current infrastructure, and one or more public clouds. It is a popular choice among businesses that have already spent a lot of money on IT infrastructure because it is essentially a mix of environments where you can run applications.

Employing a variety of computing, storage, and service environments is advantageous for an organisation. With the hybrid cloud, there is explicit coordination between the various platforms.

AWS Multi-Cloud & HybridECS by Amazon

  • Snowball AWS
  • Snow Cone AWS
  • Outposts AWS
  • Local Zones in AWS
  • AWS and VMware Cloud
  • Wavelength AWS
  • Anytime EKS by Amazon
  • Snow Cone AWS

Azure Hybrid & Multi-Cloud

  • Azure Arc
  • Azure Backup
  • Azure Active Directory
  • Azure Security Center
  • Azure Blob Storage
  • Azure Stack
  • Azure Centinel

Multi-cloud & Hybrid Google Cloud

  • Traffic Manager
  • Looker
  • Build A Cloud
  • Operations
  • Run Cloud for Anthos


It's also crucial to be aware that AWS has recently started to provide pay-per-minute billing. Users can save far more thanks to Google Cloud's pay-per-second billing structures than they do with AWS or Azure. Pay-per-minute charging is already available in Azure. In comparison to AWS, Google also offers a number of discounts that occasionally enable customers to save as much as 50%. According to Gartner, "Google offers enormous discounts and very flexible contracts to try to win projects from clients."

Microsoft Azure, according to the IT industry, has the lowest on-demand pricing, with Amazon falling somewhere in the middle. All three systems offer reasonable price plans and additional cost-control options to all users (reserved instances, budgets, and resource optimization). The price of the cloud platform is determined by a number of factors, such as:

- Customer requirements

- Usage

- the used services

Based on the machine types that each company offers, the pricing schemes of AWS, Azure, and GCP are contrasted below: 

Machine Type AWS Azure GCP
Smallest instance AWS charges roughly US$69 per month
for a primary instance with two virtual CPUs
and eight gigabytes of RAM.
Similar instances in Azure, such as those with 2 CPUs
and 8 GB of RAM, run about US$70 per month.
Compared to AWS, GCP will supply you with the most basic instance, including two virtual CPUs and eight gigabytes of RAM, at a 25% lower cost. As a result, it will cost you around US$52 every month.
Largest instance The most expensive AWS instance, with 3.84 TB
of RAM and 128 CPUs, will cost you roughly US$3.97/hour.
The biggest Azure instance has 128 CPUs and 3.89 TB
of RAM. About $6.79 an hour is spent on it.
GCP leads the pack with its largest instance, 3.75 TB of RAM and 160 CPUs. It will cost you approximately US$5.32/hour.
Container AWS elastic container/ kubernetes service Azure kubernetes Engine Google kubernetes engine
Server less functions AWS lambda Azure function Google Cloud functions

Pros of Amazon Web Services (AWS)

1. The majority of services, including robotics and networking.

2. Most seasoned

3. Regarded as the best in terms of security and dependability

4. Greater computing power than Azure and GCP

Cons of Amazon Web Services (AWS)

1. All significant software vendors who make their programmes accessible through AWS Dev/Enterprise support are required to make payments.

2. For beginners, the sheer number of services and alternatives offered can be intimidating.

3. Alternatives to hybrid clouds are scarce.

Pros of Microsoft Azure

1. The migration and integration of existing Microsoft services are straightforward.

2. Best-in-class AI, machine learning, and analytics services are among the many available choices.

3. When compared to AWS and GCP, the majority of services are more affordable.

4. Hybrid cloud strategies are very well received.

Cons of Microsoft Azure

1. Fewer service options than AWS

2. Built specifically for corporate customers

Pros of Google Cloud

1. Complements other Google services and goods effectively.

2. Excellent support for containerized workload

Cons of Google Cloud

1. Services that aren't as extensive as those offered by AWS and Azure.

Which of the following cloud platforms should I pick: AWS, Google Cloud, or Azure?

Each service provider responds differently to the specific needs of every organisation, which has specific demands. For instance, the way in which a software developer, a financial institution, and an e-commerce business use cloud services varies.

Different regulatory compliance duties apply to them. Cloud service providers may provide comparable services to other businesses, but they frequently carve out a niche that appeals to potential customers. You may have an advantage if you comprehend how AWS, Azure, and GCP fit into the larger objectives of your company's cloud strategy.

Storage Services 1) 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/ML 1) 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
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
Database Services 1) 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 Services Glacier 1) Archive Storage
2) Backup
3) Site Recovery
1) Nearline (frequently accessed data)
2) Coldline (infrequently accessed data)
Security AWS Security Hub Azure Security Center Cloud Security Command Center

Conclusion : Which Cloud Service is Best?

Given that Azure and GCP are quickly gaining ground on AWS, it's unclear how long AWS will hold onto its position as the top cloud provider. Although being the first of its kind gives AWS an advantage, Azure and GCP also have benefits. For many firms who utilise MS products, employing Azure cloud makes more sense because it is easier to integrate MS tools with it.

Customers should only use GCP since it provides the finest price structure for the infrastructure that supports Google Search and YouTube.

All things considered, it is more accurate to say that choosing the best cloud service depends on your needs rather than ranking the best cloud providers.

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