Reasons to Choose GCP over AWS and Azure
The earliest instances of virtual private networks in telecommunications firms’ services date to the 1990s, which is when cloud computing initially gained traction.
The term “cloud” then referred to the area of computing between the providers and the end users.
When Salesforce.com entered the picture in 1999, the field of cloud computing saw a true revolution. As it is today, Salesforce.com is regarded as the originator of cloud computing.
Salesforce was in charge of providing enterprise applications to customers online.
In 2002, Amazon debuted its web-based services not long after Salesforce.com. It offered a wide range of cloud-based services, including computing and storage.
When Google released the Google App Engine in 2008, it jumped on the cloud bandwagon. The business first unveiled Google Storage in 2010.
The cloud revolution was sparked by both the need for scalability and the rising cost of electricity. Cloud computing is a popular term right now. The market size for public cloud services was $227.8 billion in 2018 and is projected to increase by 50% by 2022.
Today, the major cloud providers in the market are:
- Amazon AWS
- Microsoft Azure
- GCP
- IBM Cloud
Even though GCP lags behind AWS in market share, it is putting on strength and working to catch up quickly. This is evident by the fact that Google was successful in acquiring Spotify from Amazon.
Top 5 Reasons why GCP is Better Than its Competitors
Nevertheless, Google Cloud Platform is expanding more quickly than AWS and Azure. It must possess something these other cloud service providers don’t have going for it. Let’s find out what that is, then. Here are five characteristics that set GCP apart from Azure and AWS. Moreover, how GCP’s strategy might influence the future landscape of public cloud computing.
1. Pricing Discounts
Whether Google Cloud Platform is more affordable than its competitors will largely rely on the kind of workloads you plan to run and how you plan to run them. GCP is not always cheaper. For instance, its regular data storage service costs 2.6 cents per gigabyte, which is more expensive than AWS’s 2.3 cents per gigabyte fee for the first 50TB of monthly storage.
But GCP does distinguish itself in terms of how it sets its price breaks. In response to sustained utilization, the company offers discounts to clients who keep a task running for a long time. Numerous variables affect how long you must run a workload in order to receive the reduction. However, they begin to really take effect about two weeks of regular usage.
In contrast, purchasing a “reserved” instance is the main way to get a discount from AWS and Azure. This indicates that you agree to something in advance in return for a lesser price. That is a radically different model that needs significant preparation.
In this regard, Google Cloud Platform provides clients looking for a deal with easier pricing. By carrying out their current duties—running their workloads—they can receive a discount just by doing nothing. Additionally, businesses that have continuing, recurring needs for cloud computing are drawn to this strategy.
2. Machine Learning and AI
Today, a variety of complex services for AI and machine learning are available from all of the major public clouds. Although not identical, their offerings are often comparable. It would be difficult to argue that GCP’s AI and machine learning services actually set it different from Azure and AWS.
However, it is widely believed that the advantages of the Google Cloud Platform make it more suitable for AI and machine learning. This impression is reinforced by GCP’s own marketing materials, which highlight a number of big data services that are generally available on other major clouds and are not, in fact, exclusive to GCP. But if you only learned about them on GCP’s website, you wouldn’t be aware of that.
But since perception is everything in our world today, I believe that GCP’s reputation as the finest cloud for AI and machine learning workloads has contributed to the platform’s popularity.
3. Private Fiber Networking
The Google Cloud Platform’s lack of integration with the rest of Google’s services is rather unexpected. With minimal direct connections to Gmail, Google Drive, or Google’s online advertising business, GCP is mostly a stand-alone platform. Though it might seem that Google would really want GCP to be more closely entwined with its other services, this isn’t generally the case.
The Google Cloud Platform has access to the company’s own fiber connectivity, which in general performs better than conventional network equipment, and this is one area where being a part of Google is very advantageous.
4. Multicloud and Hybrid Play
The Google Cloud Platform’s hybrid cloud and multicloud approach may be its most significant distinction in recent years. Anthos, a platform for executing workloads across several private clouds and/or on-premises infrastructure, is where GCP has bet its future in this field. GCP is a versatile and open cloud for businesses with hybrid or multicloud goals due to Anthos, which is built on open-source technologies like Kubernetes.
Azure and AWS, on the other hand, are significantly less accommodating to outside solutions. Their individual hybrid cloud frameworks, AWS Outposts and Azure Stack are intrinsically tied to their respective clouds. Additionally, they make no effort to assist clients in integrating with outside clouds.
5. Big Data
Google stands out because of its data analytics, whereas Amazon Web Services is best recognized for its computation and infrastructure and Azure for its operating system.
You can gain some valuable insights from Google’s cutting-edge cloud warehousing technologies like Google BigQuery, as well as batches and real-time data processing tools like Google Cloud Dataflow and Google Cloud Dataproc.
For instance, BigQuery is a completely governed data warehouse that enables you to process enormous amounts of data at breakneck speeds.
Google claims that its users view technologies like BigQuery as “almost magical” since they enable tasks that once required hours to complete to be completed in a matter of minutes.
Conclusion: The Ultimate Choice depends on Your Needs
Deciphering which of the three cloud service providers is the best is indeed challenging. However, based on the scope and nature of their requirements, the above analysis can help business owners and decision-makers make an informed choice.
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