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AWS, Azure, or Google Cloud: which one best suits you

22 Aug 2022

AWS, Azure, or Google Cloud: which one best suits you?

Despite the fact that there are several cloud service providers, the top three cloud platforms are Azure, AWS, and Google. Cloud services from them are safe, dependable, and adaptable. They also give their customers a range of computer, networking, and storage choices. The three systems share capabilities like self-service, fast provisioning, identity management, auto-scaling, security, and compliance, among others. When comparing capability and maturity, AWS may now be seen as being considerably more significant than GCP and Azure. Additionally, in order to establish their domination over the market, the other two platforms are also developing more quickly. We must compare a number of variables in order to select the best one.


In order to determine which is best, let’s compare Azure, AWS, and Google.



AWS stands for Amazon Web Services. Ten years ago, Amazon, a pioneer in cloud computing, became the first company to join the market for cloud services. AWS Leads in terms of clients and goods. It is regarded as the standard when it comes to cloud service quality. It offers a range of Infrastructure as a Service (IaaS) options that fall under the categories of the database, computation, networking, content delivery, and storage. By utilizing server-less services like AWS Lambda Functions, Amazon SQS Queues, and Amazon Kinesis Streams, AWS enables a flexible and constant flow of data collection. AWS gives businesses the freedom to choose the operating system, database, programming language, and web application platform that best suits their requirements.

AWS management tools like Amazon CloudWatch and AWS CloudTrail, which track user activity, and AWS configuration, which manages resource inventory and adjustments, may be used to track the utilization of cloud infrastructure resources. AWS greatly boosts organizational productivity and company growth. Complicated infrastructure and service constraints that are set by default and based on the needs of the average customer are some drawbacks of AWS. The most significant of the three cloud service providers, Amazon, has data centers in 77 locations across the globe.



Azure is a product made by Microsoft. Microsoft’s extensive network of data centers is serviced by Azure, which was created to enable the development, deployment, and management of a wide range of applications and services. Services like  Networking, computation, data management databases, and performance, all are  included in Azure. Azure Site Recovery enables businesses of any size to set up site-to-site duplication and data recovery to virtual machines that are hosted on Azure. In several data center areas, Azure offers data storage redundancy or Zone Redundant Storage.


Azure ExpressRoute makes it simple to connect the data center to Azure over a private link instead of the Internet, providing higher resilience, increased security, and decreased latency.

Additionally, Azure offers enhanced networking capabilities, including the ability to join virtual networks via various onsite connections and across various regions. It has been observed that  Azure provided the most affordable request-based and promotional instance costs. With the assistance of the Azure Machine Learning Studio, specialized developers may test, create, and deploy algorithms.


Google Cloud Platform:

It is a viable rival to AWS and Azure. Thanks to its quick user interface, lower pricing, flexible computing options, and preemptible instances. All data routes used by Google, including traffic between data centers, are completely encrypted. Configurability of instances and payments, privacy and traffic security, profitability, and machine learning are just a few of the areas where Google Cloud and AWS are in direct competition. Along with savings of up to 75% for commitments of one to three years, these three cloud providers also provide Google a sustained use discount of up to 30% on each type of instance operating at a rate of above 25% each month. In the areas of translation, computer vision, and natural language processing, Google offers a variety of standard APIs.

The open-source TensorFlow deep learning library of Google Cloud Machine Learning Engine is used by machine learning developers to build models.


Comparison of Google Cloud Platform, Microsoft Azure, and Amazon Web Services:

By comparing the top three cloud services using several criteria, such as storage, compute, locations, databases, and documentation, discrepancies may be seen between them.


Storage: Amazon Web Services offers Amazon S3 (S3 stands for Simple Storage Service), the greatest option for storage with thorough documentation, tried-and-true technology, and the right kind of community support. Additionally, dependable storage services are offered by Google Cloud Storage and Microsoft Azure Storage.

Computing: AWS offers the Elastic Compute Cloud, which controls virtual machines with pre-configured settings and allows customers to customize them as required. This cloud maintains all computing services. While GCP offers the Google Compute Engine, which does the virtualization, Azure offers virtual machines and virtual machine scale sets. On the other hand, GCP offers Google Compute Engine which carries out the same functions.

Databases: All major service providers offer a wide variety of database services and tools. The relational database service from Amazon manages everything from updates to patches and supports popular databases like PostgreSQL and Oracle. This is Cloud SQL for GCP, whereas the Azure SQL Database manages SQL databases for Azure.

Documentation: Although AWS outperforms GCP and Azure in terms of performance, all three cloud service providers offer very high-quality documentation.

Location: Azure, AWS, and GCP assure optimal application performance with the quickest approach to the target audience and offer good global coverage. While Google is accessible in 33 nations, Azure is accessible in 60 regions, and Amazon is accessible in 77 places, with more territories being added on a regular basis.


Cost: Let’s now examine the costs of Google Cloud, Azure, and AWS.


The price structures of AWS, Azure, and GCP are contrasted below based on the types of machines each company provides:


The minimum feature on AWS comes with two virtual CPUs and 8GB of RAM. We’ll have to pay around 69 dollars each month for it. In contrast, the identical Azure instance with 8GB RAM and two virtual CPUs will run us roughly US$70 per month. GCP will provide us with a very basic instance with two virtual CPUs and 8GB of RAM at a price that is 25% less than AWS. It will thus cost us about 52 US dollars each month.

The most extensive case offered by AWS has 3.84 TB of RAM and 128 virtual CPUs, and it will run us about $3.97 US per hour. On the other hand, the identical instance with 3.84 TB of RAM and 128 virtual CPUs will run us about 6.79 US dollars per hour. The biggest instance available on GCP has 160 virtual CPUs and 3.75 TB of RAM, making it the industry leader. The price per hour will be about 5.32 US dollars. Pay-per-minute pricing has recently been made available by AWS. While Google Cloud offers pay-per-second charging that saves consumers money, Azure already offers the same option. Additionally, by offering a variety of discounts, it aids consumers in saving money by up to 50%.


Which one should you choose?

Key Takeaways







Google Cloud


Why should you not choose?




Google Cloud


Well, most of you must have figured out from the above stats that Google cloud is rising at an advanced rate and is always at 3rd place after AWS and Azure. No doubt Google Cloud may surpass AWS and Azure someday which makes it very difficult to declare one of them as the winner. Google has many advantages over AWS like prices and speed. Similarly, Azure is also having many advantages over AWS. However, AWS has been a consistent pioneer in cloud services, it’s more mature infrastructure causing less downtime each year makes AWS a preferable choice for the majority of the users.


Author: Akash Upadhyay

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