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Azure vs. AWS vs. Google Cloud
Cloud computing is an ecosystem of distinct computing services operated as a remote environment system of servers, storage structures, databases, networking, computing, processing bandwidth, software, analytics, and other series of solutions and offered to the client network over the internet medium.
The fulcrum of cloud computing solutions is about flexible resources, economies of scale, reliability, scalability to the resources, and effective management of ICT (Information and Communication Technology) Infrastructure.
While there are many small and large scale companies offering cloud computing services, a major business chunk contends among 3 major cloud providers namely – Amazon, Google, and Microsoft.
These three brands under their flagship solutions AWS (Amazon), Azure (Microsoft), and Google Cloud (Google Inc.) dominate the global computing market and offers a seamless quality of services to the customers.
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Choosing the services of these cloud computing solutions with effective deployment can accelerate the digital transformation push for a business’s management over conventional legacy systems.
The service quality of all three dominant players Azure, Google Cloud, and AWS is phenomenal and customizable.
However, depending on the context of cloud computing, the resource requirements, business structure, and other key elements, the right fit choice among the AWS vs. Azure vs. Google Cloud is imminent for the SMBs of Malaysia.
Distinct reasons drive the decision and implementation of cloud computing solutions for SMBs from Malaysia.
While some businesses might focus on infrastructure cost reduction as a priority, reliable service or data security, or economies of scale can be the priority of others.
As an equation, though all the service providers AWS, Google Cloud, and Azure has value proposition in respective elements, the weightage of elements might change among AWS, Google Cloud, and Azure.
Thus, in this article, let us understand the intrinsic elements adding up to the service quality offerings of AWS, Google Cloud, and Azure, and what best can fit the business requirements with varying priorities.
| Features/Metrics | AWS | Google Cloud | Azure |
| Expertise | High | Moderate | Moderate |
| Product offerings | Wide range of product offerings | Moderate | Moderate |
| Offering Services Since | 16 years | 14 years | 12 years |
| Functionalities | High | Moderate | High |
| Datacenters | More | Limited | More |
| Computing Structure |
|
GCE (Google Compute Engine) executes similar functionality as offered by AWS. | Microsoft Azure offers scope for creating virtual machines and its resource-related flexibility. |
| Storage | Transient Stock Piling | Stock Piling and Constant Circles | Transient Stockpiling, Square Blobs, and Files. |
| Pricing | Per Second basis (min. of 60 seconds) | Per-minute basis | Per-minute basis. |
In addition to some of the key feature comparisons in the table above, it is evident from the information on the performance of Azure vs. Google Cloud vs. AWS – there are some common service elements.
All three i.e. AWS, Google Cloud and Azure offer instant provisioning, autoscaling features, flexibility to change the subscription plans, compliance elements, high secured data centers, and compliance to international data security and privacy security standards.
- AWS has its operational capabilities set in 22 geographic regions and constitutes around 14 data centers to cater the client requirements globally. Also, there are 114 edge locations and 12 Regional Ege Caches confirmed by end of 2021
- Azure has an operational presence in 54 regions and every region has a minimum of three availability zones, and 116 edge locations active by the end of 2021.
- Google Cloud in comparison to the other two majors has only 34 cloud regions, and 103 zones, with 200 plus edge locations reported by the end of 2021.
Cloud computing is ever demanding, and the majors must have some USP service capability offerings to differentiate services from the competitors.
USP of AWS (Amazon Web Services)
Amazon Web Services have a range and depth of Artificial Intelligence (AI) and Machine Learning (ML) services.
Supported by their cloud infrastructure, these services continue to evolve and get more innovative.
Gluon is kind of flagship solution from AWS, which is an open-source deep-learning library supporting developers in constituting neural networks.
Amazon Web Services is resourceful for users without prior knowledge of artificial intelligence.
DeepLens is an AI-powered camera solution supporting the implementation of machine learning algorithms resourceful for optical character recognition, object recognition, and other streaming.
Sagemaker is another USP solution offered by AWS to support the training and deployment of machine learning networks.
Related topic: How Acronis Cyber Backup Solution Helps Your Amazon EC2 Instances
USP of Microsoft Azure
Cognitive Services like Bing Web Search, distinct levels of API, and Custom Vision Service from Microsoft Azure platforms are gaining prominence and are noted as highly resourceful solutions for advanced cloud-based applications.
The other key advantage of the system is the scope of support for on-premises Microsoft products.
Windows Server Backup systems are linked to Azure Backup which helps in managing the clients in handling the Visual Studio Team Services more effectively.
Related topic: Do I need a backup solution for Microsoft 365?
USP of Google Cloud
IoT Core to Serverless Computing is an effective service from Google Cloud. Its API services for natural language, speech, and other contemporary technological advancements Google Cloud.
The serverless services offered by Google Cloud stand as a prominent and beta version solution.
Also, the other key offering from Google Cloud is the Big on AI, the open-source library for creating ML applications.
With the series of services offered and profound computing abilities integral to each of the service offerings from AWS, Google Cloud, and Microsoft Azure, it is evident that all the cloud computing solutions are robust.
The challenge remains with the users to pick on the weightage of elements essential for their business information systems.
The other key aspects to focus on are the selection between AWS vs. Azure Vs. Google Cloud is the implementation team support.
It is usual that all the SMBs may not have in-house technical teams and shall depend on external agencies or professionals for cloud server selection, and deployment over AWS or Azure, or Google Cloud.
Thus, it is paramount for businesses to choose expertise like Exabytes Enterprise Solutions to guide the successful cloud computing implementation and leverage the benefits of digital transformation.
Customers can start saving with immediate effect when they sign for an Exabytes AWS Cloud billing solution.
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