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Which cloud platform is best for your business: AWS, Google, or Azure?

The growth of the cloud market has been phenomenal in the last decade, and for good reason. Cloud platforms offer unparalleled flexibility and scalability, with a cost and performance ratio that on-premises setups find difficult to match. While there may be some challenges in responding promptly to changing application demands, the benefits of the cloud are undeniable. 

Currently, there are hundreds of vendors providing public cloud services, but only a select few, such as AWS, Google, and Microsoft Azure, have made significant inroads into the market.

Every company has specific needs, and consequently, every service provider must tailor their offerings accordingly. For instance, the needs of a software company, an education institution, and an online retailer for cloud services will vary. They must follow different rules and regulations. Cloud suppliers may provide similar services to other businesses, but they often differentiate themselves in ways that attract users. You may gain an advantage by learning how AWS, Azure, and Google fit into the bigger picture of your company's cloud strategy. 

Cloud computing is the provision of computing services (such as servers, storage, databases, networking, software, analytics, and intelligence) over the internet (or "the cloud") to facilitate rapid innovation, adaptable resources, and economies of scale. Pay as you go pricing allows businesses to reduce overhead costs, improve the efficiency of their infrastructure, and adapt to changing demands with minimal disruption. When it comes to archiving, serving, and processing information, the cloud offers a wide variety of viable solutions. Networks in the cloud make possible everything from video streaming to Internet of Things sensors and machine learning programs. Some advantages of cloud computing are as follows:


IT resources are just a click or tap away with cloud computing. Because of this on-demand availability, you can reduce the time it takes developers to access those resources from weeks to minutes. Because the cost and time to experiment and innovate are reduced, organizational agility improves dramatically. 


The cloud benefits greatly from the ability to scale elastically. It enables organizations to be more agile by providing them with the exact resources they require, such as bandwidth, storage, and computing power. Furthermore, in cloud language, users receive IT resources at the precise time required and from the appropriate geographic location.

Reduced infrastructure upkeep

The cloud eliminates the need for physical storage and maintenance, freeing up IT professionals to focus on more important business objectives. Instead, resources are pooled to provide service to multiple consumers at the same time, allowing for location independence.

Reduced CapEx

The cloud replaces one-time capital infrastructure costs with low variable costs that scale with your business. Businesses no longer need to plan for and purchase servers and other IT equipment weeks or months in advance, thanks to the cloud. Instead, they may be able to spin up hundreds or thousands of servers in minutes and deliver results more quickly. 

About Azur

In 2010, Microsoft launched Azure, then simply called Azure, to provide businesses with a powerful Cloud Computing platform. While the name "Microsoft Azure" has been in use since 2014, the term "Azure" is still commonly used. Since its inception, Azure has made great strides in comparison to its rivals. When it comes to analytics, virtual computing, storage, networking, and other services, Azure is a public cloud platform that offers IaaS, PaaS, and SaaS options. It's a great supplement to, or replacement for, servers you already have in-house. 

Overall, Microsoft Azure is a powerful and flexible cloud computing platform that offers a wide range of services and features to help businesses manage their IT infrastructure more efficiently. Whether businesses are looking to supplement their existing in-house servers or replace them entirely, Microsoft Azure provides a highly scalable and cost-effective solution that can help them achieve their goals.

About  Amazon Web Services

In 2006, Elastic Compute Cloud (EC2) and Simple Storage Service were released to the public, marking AWS's debut (Amazon S3). Services such as Amazon CloudFront and the Content Delivery Network (CDN) joined Elastic Block System (EBS) after it became available to the public in 2009. As one of the first cloud providers, it has gained a loyal user base and a reputation for safety and security.

With AWS you can get access to computing resources and services at pay-as-you-go prices, allowing you to build applications in minutes. You can use an AWS server in the same way you would use a physical server, connecting to it, configuring it, protecting it, and running it. The main difference is that the virtual server is built on top of a global network that is managed by AWS. In 2006, Elastic Compute Cloud (EC2) and Simple Storage Service were released to the public, marking AWS's debut (Amazon S3). Services such as Amazon CloudFront and the Content Delivery Network (CDN) joined Elastic Block System (EBS) after it became available to the public in 2009. As one of the first cloud providers, it has gained a loyal user base and a reputation for safety and security.

About Google Cloud

In 2008, Google launched a suite of cloud computing services known as Google Cloud, which evolved from the company's App Engine. Global businesses can take advantage of GCP's IaaS, PaaS, and SaaS services (SaaS). For instance, Google Cloud Platform (GCP) is primarily a service for creating and managing unique applications that can be deployed to and hosted in the company's hyper-scale data centers. Google's Cloud boosted the company's offerings, such as the search engine and the video-sharing website YouTube, which have attained massive popularity. But now that they've released their business services, anyone can use Google Cloud Platform, which runs on the same servers as Google Search and YouTube.

Overall, Google Cloud is a powerful and flexible cloud computing platform that provides businesses with a wide range of services and features. Whether businesses are looking to create and manage their own IT infrastructure in the cloud, develop and deploy applications, or use ready-made applications and services, Google Cloud provides a highly scalable and cost-effective solution.

Essential cloud-based resources

Today, competition among the three cloud service providers is fierce. Based on market conditions and client needs, all three vendors already provide vital resources and are likely to expand their offerings in the near future.

Azure key tools 

One example of a cognitive service is Bing's Web Search API, but there are many others, including Face API, Computer Vision API, and Custom Vision Service. Microsoft provides a number of services and functions for IoT management and analytics, as well as a serverless computing option. Azure includes several solutions that are compatible with on-premises Microsoft software. Azure Backup is integrated with Windows Server Backup in Windows Server 2012 R2. Visual Studio Team Services uses Azure to store Visual Studio code.


AWS key tools

AWS has released Gluon, an AI and machine learning platform. With this open-source deep-learning library, programmers and non-programmers alike can construct neural networks with little to no background in artificial intelligence. DeepLens is a camera powered by artificial intelligence that has the potential to develop and implement machine learning algorithms for OCR, iD, and obj detection. Comparing SageMaker, an AWS service for training and deploying machine learning models, to Serverless. Included in this package is the Lex conversational interface, which makes possible Alexa services, Greengrass IoT messaging, and Lambda serverless computing.

Google cloud key tools 

APIs for IoT to Serverless: Google Cloud supports natural language, speech, translation, and more. It's not just a server-less platform, but it also supports the Internet of Things. However, keep in mind that these are early previews. Google Cloud has taken the lead in artificial intelligence development. The open-source software library TensorFlow should be credited for its contributions to the field of machine learning. TensorFlow is well-liked by the development community.

Solutions that use multiple cloud providers or a hybrid of the two


A hybrid of public and private clouds is the most advantageous cloud environment for most businesses. With a hybrid cloud, you can utilize both public and private clouds in tandem with your current setup. It's a popular choice for businesses that have already invested heavily in IT infrastructure because it allows for a variety of environments in which to run applications. Combining different types of servers, data storage, and service providers can help an organization (on-premises infrastructure, private cloud services, and a public cloud). Using a hybrid cloud, there is overt cooperation between the various systems. 

  • Azure hybrid & multi-cloud: Azure Arc; Azure Backup; Azure Active Directory; Azure Security Center; Azure Blob Storage; Azure Stack; Azure Centinel.
  • Google hybrid & multi-cloud: Anthos; Traffic Director; Looker; Cloud Build; Operations; Cloud Run for Anthos.
  • AWS hybrid & multi-cloud: Amazon ECS Anywhere; AWS Snowball; AWS Snowcone; AWS Outposts; AWS Local Zones; VMware Cloud on AWS; AWS Wavelength; AWS Snowcone.

Limitations on where you can buy it and where it's available

The supported regions and availability of a cloud provider should be the first considerations when making a provider choice. Your cloud's performance will be negatively impacted by factors like latency and compliance regulations when dealing with data.

  • Azure: 54 regions all over the world, and each region has at least three availability zones and 116 edge locations.
  • Google: 35 regions; 106 zones; 176 network edge locations available in 200+ countries and territories.
  • AWS: spans 96 availability zones within 30 geographic regions around the world, with announced plans for 15 more availability zones and 5 more AWS regions in Australia, Canada, Israel, New Zealand, and Thailand.


Users of any of the three platforms can take advantage of affordable pricing and advanced budgeting tools (reserved instances, budgets, and resource optimization). The cost of the cloud infrastructure depends on a number of factors, including customer specifications, the usage and the services utilized. In terms of storage pricing, how do these providers differ? Prices in comparable regions are as follows: AWS US East (Northern Virginia), Azure East US, and Northern Virginia (us-east4) in Google Cloud Platform, provider for storage (GB/Month): 

  • Azure - $0.021; 
  • Amazon S3 - $0.023; 
  • Google Cloud Platform - $0.023.

It's clear that these cloud providers are in a cutthroat competition, as their storage service prices are all very close to one another, with Azure being the most reasonably priced option. Before deciding on a storage service, it is important to consider additional costs, such as those associated with data transfer or operations. Also, observe how the service provider handles price increases and decreases. Large price increases for Google Cloud Platform's core storage services were introduced recently. As a result of difficulties such as rising inflation rates worldwide and supply chain issues, companies providing similar services and cloud computing environments may need to increase their prices. If you sign up with one of the three service providers for an extended period of time, you can save money. In AWS, this pricing structure is known as Reserved Instances; in Azure, as Reserved Savings; and in Google Cloud, as Committed Use Discounts.

Pros and Cons of the platforms

AWS Pros:

  • From networking to robots, it offers the majority of services.
  • The most mature. 
  • Considered the best in terms of dependability and security.
  • More computational capacity than Azure and Google Cloud Platform.

AWS Cons: 

  • All major software vendors who make their applications available through AWS Dev/Enterprise support must be compensated.
  • For newcomers, the sheer number of services and options available can be overwhelming.
  • There are only a few hybrid cloud options. 

Azure Pros: 

  • Integration and migration of existing Microsoft services are straightforward.
  • There are numerous options available, including best-in-class AI, machine learning, and analytics services.
  • When compared to AWS and GCP, most services are less expensive.
  • Hybrid cloud strategies have a lot of support.

Azure Cons:

  • Fewer service options than AWS.
  • Designed specifically for business customers.

Google Pros:

  • Compatible with other Google services and products.
  • Outstanding containerized workload support.

Google Cons:

  • Services are limited in comparison to AWS and Azure.
  • There is no support for enterprise use cases.   


It's not easy to compare AWS to Azure to Google and already a challenge for businesses to make the transition to the cloud if they've never done so before. One reason for this is that service providers frequently alter their rates for all of their offerings. Also, the same service from various cloud providers would be available in a wide variety of non-apples-to-apples-comparable configurations. The real battle is typically between AWS and Azure. These two offer the most comprehensive set of capabilities and reach across the globe. If you are a large enterprise in need of stability, AWS or Azure are safe bets. However, many sizable businesses are increasingly adopting multi-cloud strategies, with some signing up with as many as four different cloud service providers. Thus, don't dismiss Google!

Consider the following factors before making your final decision:

  • The calculated approximate cost of running the workload in the cloud. 
  • The potential for reduced initial investment (e.g. pre-purchasing instances and capacity, purchasing multiple services, existing user discounts, etc.) 
  • Specific functionalities required of a cloud-based app to ensure it supports organizational objectives. 
  • Find out which cloud service providers have the majority of the features you require. 
  • Availabilities for data sovereignty and data protection in the decided upon area. 
  • Capacity of a network connection to handle a flood of data. 
  • Instruction and access to competent experts who can provide services when needed. 
  • Levels of service agreements.

We also advise that readers join each of these cloud providers and make use of their free offerings. Sample workloads can be executed on each platform to compare costs and performance. Keep in mind that the features you require now may change as you face new and different demands from your applications as your business evolves.

Trying to maximize the adaptability and productivity of your cloud environment? Get in touch with our experts to make your cloud infrastructure more adaptable than ever.