Companies are continuing to explore the possibilities of cloud computing. It doesn’t matter if you’re using an individual cloud service or transferring your entire infrastructure to the cloud there’s no shortage of people exploring the benefits of cloud technology.
Since its creation, the cloud ecosystem has grown into a complicated growing myriad of technology providers, providers products, and services. If you attempt to piece together the various combinations within these verticals, the number of choices can easily climb to the hundreds. It soon becomes clear that there’s nothing like too many choices.
In every business, a handful of companies stand out from the crowd to achieve market leadership. When we consider thinking about cloud computing services there are three names that stand out on in the rankings: Google Cloud Platform, Amazon Web Services, and Microsoft Azure.
Today, we’ll be reviewing two cloud giants: Google Cloud Platform and Amazon Web Services. We’ll learn more from the GCP Certification but before that let’s take an in-depth look at the services and products offered by both providers. In the hope of providing clarity and easing the process of comparing the two cloud providers in order to help you make an informed choice.
What is the difference between Google Cloud vs Amazon Web Services
If you’re considering making use of cloud-based services and the three major providers, are likely to include Google Cloud, Amazon Web Services as well as Microsoft Azure? Today, we’ll focus on comparing 2 of them particularly Google Cloud vs AWS.
Cloud giants like Google and Amazon have become household names in the world of technology. They have been dominant for over 10 years in their respective fields. The two companies are widely regarded as the best in the world They are focused on their quest for quality and innovation. Each company boasts a wealth of technology-related knowledge that is nearly impossible to match.
Based on their respective technological bases and their respective technological foundations, it’s no surprise that they have built a leading cloud computing platform. In September of 2020, Gartner has once again ranked Google as well as AWS as the top two companies within the infrastructure as a Service (IaaS) Magic Quadrant.
For Amazon, this is the 10th consecutive year that AWS has been able to secure an upper-right spot in the Leader’s Quadrant within Gartner’s Magic Quadrant for Cloud Infrastructure as a Service ( IaaS). The highest-ranking was awarded in the category of Ability to Execute, and the furthest position for the Completeness of Vision.
Google Cloud and AWS Continue to Lead the Industry
Google Cloud and AWS have been the dominant cloud computing companies since IaaS solutions started to gain momentum in the year 2008.
In August of 2021, a report by Gartner listed the two companies Google and Amazon as among the top five cloud infrastructure providers which represent the majority of% of the IaaS market. This is a trend that is going to get worse as both companies work to strengthen their position within the IaaS market.
Despite the pandemic that is stalling in large economies Gartner predicts global growth in public cloud revenues to 2020 by 6.3%. In the wake of an explosion in remote working, we can expect comparable results from the cloud. In particular, the report reveals the of 94% rise of cloud computing. Desktop as a Service (DaaS) market. In this context, we can expect Google or Amazon to keep expanding.
Although both began their journeys in the IaaS market now you can turn on Google Cloud and AWS for a myriad of solutions that span IaaS, SaaS, and PaaS. Both companies continue to improve and develop new cloud-based services to their growing list of cloud services.
Google Cloud Platform Revenue in 2022
Alphabet’s Q4, as well as FY Year Results for 2021, proved that the company was able to grow at a rapid pace, and overall revenues increased by 18% on a year-to-year basis. Although there’s a lack of transparency regarding the revenue generated by Google Cloud, the company saw impressive growth that was in excess of 100% and putting the company at an average of $10 billion at the end of the year.
In 2020, the onset of the Coronavirus pandemic in the United States saw Google Cloud’s main company Alphabet Alphabet record its first quarterly revenue drop since going public in the year 2004. With this backdrop, Google Cloud has in fact defied the trend and appears to have seen its growth accelerate.
In the quarter ended in Q1, Google Cloud made significant gains due in part to Google Meet, when their video conferencing platform was a huge hit with remote workers. Earnings release statements from the first quarter of, Q2 and Q3 demonstrate a trend of steady YoY growth of Google Cloud. Google Cloud Platform. As we approach the close of 2020, Google Cloud revenue is forecast to grow to an annual that exceeds $13 billion. This is predicted to be a 30% increase in 2019% increase in 2019.
Amazon Web Services Revenue in 2020
In 2019 the Q4 earnings Report disclosed AWS’s sales revenues in excess of $10 billion. The company is now at an annual revenue exceeding $40 billion.
In the wake of the Coronavirus pandemic in the year 2020, AWS growth has slowed substantially. The company released the first quarter, Q2 as well as quarter 3 announcements of the earnings revealing the YoY growth rate declining, and then settling at a sub-30% growth rate for every quarter. This is a noticeable slowing in comparison to the growth of 40-50% over the last three years.
It’s not an ominous scenario, AWS is now on the annual revenue of $43 billion annual run rate. The figure is projected to grow when Q4 is completed. It’s possible to be different when your company is an Amazon shareholder, specifically in the wake of Jeff Bezos telling Amazon shareholders to “take the seat” while their COVID-19 response depletes profits from operating.
Google Cloud vs Amazon Web Services Features Comparison
It’s not an easy task to evaluate AWS and Google Cloud. Google Cloud vs AWS platforms. Their ever-growing and sprawling cloud services include a multitude of offerings to select from. To make matters more complicated they often employ different names for their comparable products. Therefore, in order to avoid getting lost in details, you need to have some level of understanding and comprehension.
Making it easier The Google Cloud Platform and the Amazon Web Services Platform are thankfully grouped in the same category. In order to speed up the process and make it easier for you We’ve performed the difficult task by contrasting the top widely used services within the important business categories.
Compute Features
In the case we compare Google Cloud vs Amazon Web Services computing capabilities, we’ll concentrate specifically on a virtual machines (VMs).
Computer system emulators offer the capabilities that a physical computer does and can handle almost any task that you can imagine. They are the core of your cloud-based environment, it’s crucial to choose the VM configuration that meets the needs of your business.
The two cloud companies have taken an identical method of implementing VMs although they have distinct naming conventions for their specific offerings.
Compute Engine is the service offered on the Google Cloud Platform, while Amazon Web Services is named Amazon Elastic Compute Cloud (Amazon EC2). The two providers also use distinct terminology and terms.
Thank goodness, Google is able to map Amazon’s EC2’s terminology and ideas to the concepts of Compute Engine – which you can find in the table below:
| Feature | Amazon E2 | Calculate Engine |
| Virtual machines | Instances | Instances |
| Machine Images | Amazon Machine Image | Image |
| Temporary virtual machines | Spot instances | Preemptible VMs |
| Firewall | Security groups | Computer Engine firewall rules |
| Automatic scaling of instances | Auto Scaling | Compute Engine autoscaler |
| Locally attached disk | Ephemeral disk | Local SSD |
| VM import | Formats supported: RAW, OVA, VMDK and VHD | Formats supported: RAW, OVA, VMDK and VHD |
| Deployment locality | Zonal | Zonal |
Virtual Machine Features
When it comes to deploying virtual machines to Compute Engine Amazon EC2 Both services offer a variety of options that are closely aligned the following:
- The capability to utilize images stored on disks to create instances
- On-demand capabilities allow for the launch and stop instances
- Management of your instances
- The ability to label your actions
- There are a variety of operating systems can be installed onto your computer
Virtual Machine Access
In terms of accessing your VM there are many fundamental differences in the way that are taken by Compute Engine as well as Amazon EC2.
If you’d like access via the terminal to an instance of Amazon EC2, you’ll have to provide your personal SSH key.
Compute Engine offers a more flexible method of accessing terminals. It allows you to make an SSH key whenever you require it, even when that instance is already running. Also, you won’t have to save the keys on your local computer because of the browser-based Compute Engine SSH terminal, which is accessible through Google Cloud Console.
For instance, Virtual Machines Instances Types
When you are deploying your virtual machine when you deploy your virtual machine, it is recommended to use both Compute Engine and Amazon EC2 provides simplicity with a variety of pre-defined instances. These instances are based on particular configurations for virtual CPU, RAM, and the network.
The two companies Google and Amazon provide a variety of different virtual machines available with a range of configurations. Both offer flexibility, allowing users to modify their configurations so that you can scale the size of your VM resource to fit the specific requirements of your company.
You can achieve this by increasing the number of CPUs available and RAM to specs for high-end equipment.
The providers are maxed out by the following:
- Google Compute Engine VMs scaling up to 416 vCPUs 11 776GB RAM
- Amazon E2 VMs are scaling up to 448 vCPUs 224,576 GB RAM
In terms of VM types the two platforms share the same classification. However, one platform might offer a specific type of machine in some areas, but the other one does not.
Based on your specific business needs You can pick among various types of machines that include shared core, general purpose memory-optimized, and compute-optimized GPU optimized for storage, as well as high-performance.
