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Planning to move? Top 3 cloud services comparison: AWS, Azure, Google Cloud

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No matter, if you are an average consumer or a solid businessman, consider cloud services as it’s a convenient and reliable system at least to store your personal data. At most if you are an enterprise owner, it’s a good chance to reduce costs on maintaining external infrastructure by organizing your business performance on the cloud platform.

The most leading cloud providers are Amazon Web Services, Microsoft Azure and Google Cloud Platform. Let’s see what each of it looks like.

Amazon Web Services is a well-experienced platform, providing services since 2006. It offers its consumers a full-blown virtual set of computers on request. AWS is considered nearly the most powerful option among the rest of services, for it comes with almost all attributes a computer has, like hardware, operating system etc.

Computational power plays a big role for any informational-oriented business, so a good cloud platform should have effective tools for all calculation types, give opportunity for remote control and ability to independently scale anytime and from anywhere. AWS’ central computational network service is based on the Elastic Compute Cloud. No doubts, its computational power allows clients to perform analysis qualitatively.

Microsoft Azure (before Windows Azure) performs mainly through Microsoft-managed data centers and is often chosen by Microsoft associates. Azure started its activity in 2010 and now the platform comprises a variety of supporting instruments, programming languages, frameworks. What about its computational power? Microsoft Azure has strong Virtual Machine Scale Sets as its processing system center. The platform serves such famous companies, as HP, Apple, Fujifilm and much more.

Google Cloud Platform offers diverse services: compute, storage, networking, machine learning etc. and includes instruments for cloud management and security as well. It is the youngest (launched in 2011), but not less-experienced system. It has more than 50 resources and 6 global data processing centers. Google Cloud Platform uses the Compute Engine Service for processing power computation, but the price outranks mentioned above companies, which can be counted as a disadvantage.

If you want to keep on learning these systems other vital parameters, such as hybrid approach, analysis, security, pricing etc., this blog article will help you to find the rest of answers.

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