Home » Aws Vs. Azure Vs. Google Cloud Services How Do These Services Compare in 2022?

Aws Vs. Azure Vs. Google Cloud Services How Do These Services Compare in 2022?

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When it is time to shift your organization’s digital and IT services to the cloud, there are various factors you should consider when choosing a vendor. The biggest concerns surround budgeting and vital functions for a relatively new company. In addition, when considering cloud computing trends, you might experience roadblocks and missteps that may cost you money and time. 

Therefore, you should research cloud service providers before making the big move. The big three providers are AWS, Azure, and Google Cloud Platform. This comparison breaks down these three vendors to help you find one that meets your business needs.

Amazon Web Services

Amazon Web Services is part of amazon.com and is the pioneering vendor for cloud services. This shows that AWS is an experienced player in providing enterprise mobility management solutions for companies and individuals. AWS has a bigger user base and is reliable and trustworthy. It is also scalable to work as a software as a service (SaaS), infrastructure as a service (IaaS), and platform as a service (PaaS) for efficient deployment.


  • Storage solutions
  • Cloud app integration
  • Machine learning and analytics
  • Extra productivity tools
  • Developer and management tools

Microsoft Azure

Microsoft Azure entered the market in 2010 as ‘Azure’ to offer a competent cloud computing platform for businesses. In 2014, it was renamed Microsoft Azure despite being primarily referred to as Azure. The platform offers computing, development, storage, and database services such as SaaS, IaaS, and PaaS. Therefore, businesses can use such Microsoft solutions to deploy and manage applications through the cloud.


  • Cloud development platform
  • Predictive analytics
  • Blockchain technologies
  • DevOps features
  • Comprehensive IoT integration

Google Cloud Platform

Despite being launched in 2008, GCP has only caught up with competing cloud platforms in recent years. These platforms offer PaaS and IaaS and a serverless platform for computing, databases, storage, multiple networking options, and IoT management. However, GCP is different because it is solely used in developing various open source technologies for Microsoft solutions.


  • Data management and storage
  • Cloud application development
  • Productivity management
  • AI and machine learning engines like cloud vision and speech API
  • Business analytics

AWS, Azure, and GCP Comparison

  1. Computing

The Amazon Elastic Compute Cloud or E2C is Amazon’s leading computing service. It is compatible with most Amazon Web Services, making the services flexible and affordable. In addition, E2C provides monitoring from cloud applications and scales usage to current requirements without paying more.

Alternatively, Azure Microsoft solutions has a network of virtual machines operating on open-source cloud platforms. Computing services like app development and deployment, testing, and pre-deployment testing are compatible with Linux and Windows servers.

Google’s Compute Engine, on the other hand, is less-functional than the platforms mentioned above. However, it has some advantages in managing and deploying cloud applications. It can also deploy code from google services and scale them according to your traffic. Moreover, you only pay after the deployment of the code.

  1. Storage

Amazon’s Simple Storage Service is a standard industry protocol offered by other providers. Amazon’s Storage Gateway is a hybrid cloud provider that allows local and cloud cache utilization. The Elastic File Storage Solution also enables expansion of storage capabilities as required.

Azure storage provides various cloud types targeting multiple organizational needs. Azure’s Data Lake Storage and Queue Storage work better for larger organizations with high data storage needs. File storage is optimized to fit most business requirements.

Unlike AWS and Azure, Google’s enterprise mobility management solutions are basic, with cloud and persistent disk storage. However, the basic features are still reliable and supportive, considering GCP features SQL and non-SQL databases.

  1. Development Tools

Amazon focuses on machine learning and AI and how they translate to IoT organizations. It offers around 20 AL and AI IoT tools like the Lex interface used on Alexa. AWS enterprise mobility management solutions also offer two serverless tools, Lambda and Fargate, for easy deployment of cloud apps.

Azure is less focused on AI than Amazon, but they are more targeted and can manage multiple individual functions. However, Azure only offers one serverless function, making AWS a better option with two.

GCP development tools use AI and machine learning, considering the parent company manages the world’s largest search engine. Google’s algorithms feature in their tools and are aimed at supporting development globally. However, Google IoT and serverless functions are limited, making Azure and AWS superior.


In the next five years, any business that wants to remain relevant must transition to cloud services. The three biggest players are AWS, Azure, and Google Cloud. AWZ has been around for many years, selling itself as a reliable vendor. Azure is great for Microsoft applications, while Google Cloud is relatively new.

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