Microsoft Azure Vs. Google Cloud vs. AWS – How to choose a suitable platform?

Preface – This post is part of the Cloud Computing series.


For many years, cloud platforms have raised their growth in terms of popularity and popular ways to interact with the cloud and build applications. It has enabled businesses with higher scalability, security configurations, management, and more. Moving to the cloud is necessary and is no longer an option for companies to ignore.

All three cloud platform providers are popular and used globally and have global partners like Adobe, Airbnb, Netflix, etc. AWS, Microsoft Azure, and Google Cloud Platform offer similar configurable processing, storage, databases, and networking features.

Few factors on how to choose the right platform

1. Computing Power

AWS has the most significant CPU limit of 40, while MS Azure and Google Cloud offer a maximum of 32. AWS is the only cloud provider that extends AWS infrastructure services, APIs, and tools to any facility. The three giant clouds have ambitious expansion plans and offer high-speed connectivity across virtual machines and state-of-the-art networking services.

2. Databases

AWS:  AWS Relational database system (RDS) is a database that supports modern applications with lower costs, flexibility, tools, and extension. Some popular open source databases are MySql, MariaDB, MongoDB, and Memcached. AWS (RDS) is fully managed with built-in security, backup, and scale applications.

MS Azure: The cloud solution has Azure SQL database, PostgreSQL, Cosmos DB, Apache Cassandra, etc.

Google Cloud: Google comes with cloud SQL, a Bare metal solution highly scalable and NoSql managed database.


3. Architecture

In architecture, the vendor offers various options altered for specific applications, and you can examine which suits your enterprise and make it unique accordingly. If you are using the services or solutions from the same vendor you were using earlier, it makes sense to go with the same vendor because it can help you to avoid integration problems and compatibility. The ideal architecture would ensure guidance and recommendations to develop and maintain the cloud, avoiding data theft and privacy of practical information.

4. Level of Support

Cloud offers unlimited access to support with languages, multi-channel technical support, fast response times, and access to purchase planned event support, which boosts productivity and efficiency.

5. Technology needs

Ensure that your vendor supports your software and hardware requirements along with the scalability and extensibility you need. Knowing the upper limit of usage can save a lot of time while scaling resources.

6. Pricing

AWS– There are various pricing models in AWS like Pay-as-you-go, Reserved, and volume discounts that can benefit and save upfront cost. Check it out here.

Microsoft Azure– The Azure services access your unused resources and compute capacity at deep discounts for your interruptible workloads. Also, the pricing is based on gigabytes, hourly rate, or the number of executions. Additionally, they offer the option to reserve instances (on-demand instances in your account). Check it out here.

Google Cloud Platform (GCP)– Google cloud offers per the second price and differs for other instances and objects. It controls your spending with your device’s budgets, alerts, quota limits, and other free cost management tools. Check it out here.


AWS, GCP, and Azure are the top cloud providers in the market. The three providers are different from each other in terms of solutions, services, and products. Customers have to choose wisely between the platform for the industry projects. The best part of the three platforms is that projects and businesses are easily switched to virtual modes.


  • Barry Allen

    A Full Stack Developer with 10+ years of experience in different domain including SAP, Blockchain, AI and Web Development.


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