Top 8 Cloud Computing Service Providing Companies in 2020

In the programming world, we come across situations where we need to show our work to the intended public as and when they desire. Also, the work that the public requires is not raw coding but the actual output that we are aiming to. For this, we need to blend the backend of our code with the frontend that is in some type of GUI either application running on PC or mobile or as a web application. To host code in the form of a web application we need to get a server that is present in the cloud, and this is where cloud-based service comes into action. Other than hosting cloud-based platforms also allows users to build their backend and frontend within their environment by providing specialized services. These cloud-based services have also made coding work easy by providing some fascinating features where we don’t need to code from scratch and rather use the built-in options and call them to perform the desired task.

The cloud-based services are provided by the top tier companies like Amazon, Microsoft, Google, etc. and today, we will be discussing the top cloud service providing companies in 2020. Let’s begin:

AWS (Amazon Web Services)

AWS is the oldest and most preferred cloud-based service that individuals, as well as companies, prefer to work on. This service started operating since 2008 and is owned by our affiliate marketing big giant Amazon. It allows all the things related to coding within its environment, using inbuilt machine learning algorithms, using the cloud-based server to host our work and deploy the same using programming language within the AWS environment.

The user-friendly AI-based services have made AWS the most used cloud platform and many top players like Netflix are using AWS to host their services and access the cool features. There is also a provision to access the inbuilt databases that are required to carry out AI-related works and users can call the same in various ways like creating a Jupyter notebook instance and accessing the database from the Jupyter console. As of 2019, the revenue generated by AWS is 28,052.2 crore USD. Also, the free version of AWS provides 750 hours to the users to carry out their work and after that, they are charged for their services.

AWS management console

Microsoft Azure

This is the second most preferred cloud-based service for companies due to the similarity between the services it provides when compared with Azure. Also, there is always a rivalry between Azure and AWS regarding their service providing. It also provides serverless deployment of codes and also provides machine learning, computer vision, and deep learning related activities to be carried out within its environment. There is also a separate Microsoft Azure ML Studio wherein one just needs to drag and drop the tasks he/she wants to perform and the work will be done with ease along with the deployment.

There is also a provision to work on Jupyter notebooks for Python using Azure just like in AWS and users can avail of this benefit. There are provisions to access the databases also for performing Machine learning-related activities and one can use this as and when required. Also, there is a similarity in the free instances that Azure provides just like AWS that is, 750 hours of instances are free for users and after that, they will be incurred charges. As per 2019, the revenue generated by Azure is 35 billion USD.

Microsoft Azure Cloud Top Computing Provider min

Google Cloud Platform

GCP is the 3rd most preferred cloud-based platform for all developers out there and since it is built by Google so Tensorflow and Python come embedded within it and therefore we don’t have to download it separately. The free version of this service provides 28 hours of free instances per day and users can avail of the benefits of it. This cloud provider is also expanding its reach in the field of retail and financing. The service also provides the provision to deploy your machine learning models within the environment using n number of GPUs and CPUs that it provides to be accessed. The condition is that the more the GPU numbers get increased the more you are charged but yes, the task of ML and DL can be performed with much ease when GCP is there for us.

All these cloud-based services whether AWS, Azure, and GCP are a kind of Platform as a Service in terms of their operation because of the serverless work they perform and allow the users to use their service for their benefit. Also, with such a big giant like Google, the power and reliability of GCP are very high and developers prefer this to carry out AI-related stuff. As per 2019, the revenue generated by GCP is 8.92 billion USD.

IBM Cloud

This is the cloud-based service provided by the IBM community. This service incorporates both IaaS and PaaS. It is also regarded as one of the most used and secured cloud-based services out there and can integrate with IBM Watson as well. The service also comes in the form of a Docker container on Kubernetes and hence it is widely popular in the field of Data Science. The cloud-based service acts as a virtual machine where one can run their codes and build web applications within the environment and deploy the same as web service for demonstration purposes. The revenue generated by IBM in the year 2019 is 21.2 billion USD and it is continuing to increase due to the high demand of IBM cloud in the market.

IBM cloud service provider

Rackspace Cloud

Rackspace Technology is another popular and leading end-to-end multi-cloud technology solutions company, has been selected by GitLab, the DevOps platform delivered as a single application used by millions of users, to drive fast application development on Google Cloud. Yes, you heard right, it is an official partner of Google Cloud to use its infrastructure for efficiently providing computing power. It offers Cloud Storage, virtual private server, load balancers, databases, backup, and monitoring.

Rackspace open cloud company

Oracle Cloud

Oracle is not some new name in the Database and Virtualization world. However, it has stepped in the cloud industry to provide its infrastructure to enterprises in 2015. With high security and long cloud services, applications, IaaS, Storage, and other integrated services. However, I will recommend not to opt for if you are a beginner because very it is quite complicated to understand as compared to Amazon Web services and Google’s GCP. But professionals and enterprises can surely go for it.  The best thing is it offers a forever free plan of its service with limited resources which can be a good option for those who just want to try out to it. See our tutorial to see how to get always a free plan of Oracle Cloud Infrastructure. 

Oracl Cloud infrastructure company


Salesforce PaaS

This is yet another cloud service that uses Heroku for web app development and deployment purposes. This platform also allows many features that could be used for the benefits of the user starting from hosting, storage, servers, databases, development tool kits, etc. and is used by companies out there for their professional work. The revenue generated by this platform for the year 2019 is 3.28 billion USD and it is continuously increasing with the n number of userbase that this platform is getting every day.


Alibaba Cloud

It is the most preferred cloud-based service in China. Nearly 59% of Chinese companies operating in the country use Alibaba as their priority due to the end to end security and the diversity of features it provides. The company is also trying to reach other countries including Asiatic and non-Asiatic ones and is constantly putting efforts into emerging as the best service provider. The revenue generation for the year 2019 was 3.68 billion USD and that too from just one country. The service includes end to end model creation to deployment within its environment and also allows users to build their AI related works within the environment rather than relying on outside sources.


So, these are the top cloud-based service providers mostly preferred by companies. For more in-depth details of these services, you can look at the official documentation from the respective websites or can follow any blog related to cloud services. Go, avail the benefits of the cloud and create wonders.