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Difference Between Google Cloud, AWS & Microsoft Azure Cloud

Here, we are comparing three popular cloud platforms AWS, Azure, and Google Cloud, each has their own strengths and weaknesses that make them ideal for different use cases.

In this cloud era, three vendors are dominating the IT marketplace. These are Amazon, Microsoft, and Google. For IaaS (Infrastructure-as-a-service) or PaaS (Platform-as-a-service) service models, these three are just ranked on the top when compared to the rest of the fields. Amazon is the definitely the leader and it is supposed to dominate the cloud market for many years to come.

How exactly do AWS, Azure, and Google Cloud differ from each other? It can be explained based on various features and overall pros and cons of all three platforms. Let us start some more meaningful discussion ahead –

AWS vs. Azure vs. Google – What are the pros and cons?

According to experts, we cannot say directly that only one is the best and rest are just the supportive choice but success of a platform actually depends on how well it suits your Company requirements. Each suit different projects based on its strengths and weaknesses. Difference Between Google Cloud, AWS & Microsoft Azure Cloud

AWS (Amazon Web Services) – Pros and Cons

This is the dominant cloud platform in the IT space but it could not be suitable for each and every project. Still, for IaaS services, Amazon will continue dominating the market for many years to come. One of the biggest reasons for the popularity of AWS is the massive scope of operations.

AWS has a massive array of services available so far and it is taken as the biggest network of data centers too. As per the Gartner report, AWS has the deepest capabilities of governing a large number of users and resources together.

The biggest problem with AWS is its pricing. However, the Company is lowering down its costs continuously still it is difficult for enterprises understanding its cost structure and managing costs when running a large volume of services. These cons are quickly outweighed by a perfect range of benefits and Companies of all sizes are using AWS for a variety of workloads.

AWS Curriculum

Read: What are the Advantages and Disadvantages of Cloud Computing?

Microsoft Azure – Pros and Cons

Microsoft entered the cloud market little late but it took a jump start with its effective range of services and cloud benefits. The major reason for the popularity of the Azure platform is that many Companies deploy Windows software today.

It can be quickly integrated with other applications and actually makes sense for large organizations. It is taken as the more loyal platform for Microsoft users. Also, if you are an existing Microsoft user then you may get attractive discounts on Azure cloud services.

According to Gartner, Azure is not that much perfect as it should be. The customers are facing problems with documentation, technical support, training materials etc. Additionally, it does not provide the suitable support to DevOps approaches because of selected automation features and much of management work is completed by the staff itself.

Google Cloud Platform – Pros and Cons

Google is also a strong candidate in the cloud race since it started the Kubernetes in comparison to the AWS and the Azure. Some of the major offerings of Google Cloud Platform includes machine learning, big data analytics and more. The other highlights are perfect load balancing, or considerable scaling etc.

GCP has an excellent response time and he knows data centers well. Google is ranked third in the IT marketplace because it does not provide as many services as AWS or Azure. Soo, it will expand as needed.

According to Gartner, GCP is not a strategic partner but it is taken as the secondary partner only. If your business competes with Amazon then you can freely choose GCP in that case. This is open source platform that is highly DevOps centric and well-aligned to Microsoft Azure.

AWS vs Azure vs Google – Compute & Storage

Compute is nothing but a fundamental role that explains things related to the computer workloads. For an effective cloud provider, this is always easy connecting multiple nodes together. Let us see the computing capabilities of all three platforms one by one –

Compute & Storage

Read: AWS vs. Heroku vs. Firebase - Which one is the best?
  • First is Amazon EC2 that offers wonderful computing services to configure multiple virtual machines with the help of custom pre-defined AMIs.
  • Second is Microsoft Azure that offers a virtual hard disk which works similar to AMI in Amazon and helps in configuring virtual machines.
  • Last is Google Cloud Platform or GCP that utilizes a compute engine to configure the virtual machines.

Storage is another key aspect in cloud computing and the services offered by the storage domain are always related to the data storage. AWS offers storage running that are helpful in the long run while Azure and Google could also be taken as more respectable and reliable storage options. According to Gartner, Microsoft and AWS are the leaders in the cloud market. At the same time, IBM and Google would be the following cloud leaders soon.

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AWS vs Azure vs Google – Databases

A Database is needed to store or manage the data in a more organized way. You should always keep in mind that Azure supports the big data, No SQL, or relational databases etc. AWS supports Dynamo DB and Google supports the Cloud data store services. All of them are suitable for different projects and you have the flexibility to choose any of them as per your convenience and the nature of the project. Amazon does not offer any backup service but it has the Glacier for long-term archival storage at very affordable prices.

On the other hand, Azure databases are quite extensive with Cosmo DB choice and a data warehouse service too. There is one Redis Cache that is particularly needed for the hybrid storage and specially designed for enterprises using Microsoft SQL server in their own data centers. Unlike AWS, Azure offers the backup services and archive storage too.

Last is the Google Cloud platform that is particularly popular for unified storage and a persistent disk too. In the case of the databases, GCP has a relational database and the cloud spanner to manage critical workloads. The two No SQL options in GCP include – Cloud Datastore and Cloud Bigtable. It does not any backup or archive services.

AWS vs Azure vs Google – Pricing Structure

When comparing all three, pricing may get tricky to understand but this is always possible to generalize the cost structure whenever needed. Let us check the pricing scheme for all three platforms one by one.

  • AWS pricing is the most complicated scheme where one calculator is offered by the Company to calculate the final costs but due to the lack of a few variables involved, this is not possible to find the accurate costs always. Here, you should use a third-party cost management tools to make the things in your favor.
  • Next is Microsoft Azure that is again complicated because of its tough software licensing options. Here, again you should use a third-party cost management tools to make the things in your favor.
  • Google pricing is always easy to understand as compared to the other two platforms. The customer – friendly price structure of the Company beats other providers here. According to Gartner, the discounts offered by the Company are quite attractive and affordable too. With flexible contracts, this is easy for the Company to impress users as compared to other cloud vendors.

Tip – Organizations whose decisions for cloud vendor primarily based on the price structure then they need to analyze costs for each project wisely before making the final deal. At the same time, each cloud vendor is dropping prices for their services regularly so you should check frequently to get the affordable deals.

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Read: How to Become an AWS Certified Solution Architect?

AWS vs Azure vs Google – What suits you the most?

As discussed already, the choice of best cloud vendor always depends on project needs and the workloads. For example, if one vendor suits one project then it is not necessary it will work best for your project too. So, check out the cloud strategy and match the workloads to lock the best vendor for your next cloud project.

Why AWS?

You will never go wrong with AWS because it has a range of tools and services. The only reason why you should not use AWS is when you want a more personal relationship. Because of the large size of the Company, this is not possible for Amazon to set up personalized relationships. But there are consultants who can help you in the best way.

Why Azure?

For the Microsoft users, there is nothing better than the Azure cloud platform. Your existing dotnet code will run on the Azure platform and you will get additional discounts being an existing Microsoft user. If you want to Linux or DevOps then Azure could not be the ideal choice.

Why Google Cloud?

Google is a new player in the cloud market and growing slowly. In simple words, GCP does not have a legacy background in handling cloud services still it is fully committed and spend billions to make it a great hit. Google is focusing more on AI and machine learning capabilities on how they can be leveraged with the Google Cloud Platform. Surely, GCP could be a stronger choice in the near future.

Bottom Line:

Certain companies could be more focused on certain cloud platforms. Still, if your Company relies more on Windows and Microsoft software program then you would like to investigate the Microsoft Azure here. For a small-scale business who wants to scale quickly might have expectations with Google Cloud Platform. On the other hand, if you are looking for a cloud vendor with a wider catalog of services and global reach then AWS is just the right fit for you.

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