Differences Between GCP and AWS


Today, digital transformation is not an optional requirement for enterprises trying to make it big in their respective industries. Cloud computing is established as the way to move forward in the digital age. Leaving a single stone unturned can leave a firm far behind its competitors. Moving to the cloud has numerous advantages including improvements in security, scalability, and flexibility. Not to mention, the cost factor is also a major catalyst.

There are hundreds of cloud service providers including Google, Amazon, Salesforce, Microsoft, Oracle, SAP, etc. But today, we are going to talk about two of our personal picks – Google and Amazon. So, let us dive deep into their offerings – GCP and AWS.

What is GCP (Google Cloud Platform)? 

A public cloud vendor, GCP provides customers with a suite of computing services that range from GCP cost management to data management to delivering web and video over the web to AI/ML tools. GCP is a part of Google Cloud that allows access to computer resources based in Google’s data centers across the world for free or on a pay-per-use basis. It first appeared online with the launch of App Engine in 2008 but was launched officially only in 2011. Today, millions of users form part of the Google Cloud Platform ecosystem and some of the big names like Twitter, eBay, PayPal, and Nintendo are its top customers.

What is AWS (Amazon Web Services)? 

AWS is an evolving cloud platform from Amazon that was launched in 2006 and offers tools such as database storage, compute power, and content delivery. It combines IaaS (Infrastructure as a Service), PaaS (Product as a Service), and SaaS (Software as a Service). AWS was one of the first providers to introduce a pay-as-you-go pricing model for its customers. Netflix, LinkedIn, Facebook, and ESPN are some of the major customers of Amazon Web Services.

Also Read: What is Apigee X?

Google Cloud Platform and Amazon Web Services: A Comparison 

Compute Features

Both these providers offer Virtual Machines (VMs) and have similar approaches and terminologies, with slight changes in naming conventions. Google’s VM is called Compute Engine, while that of Amazon is named Amazon Elastic Compute Cloud (Amazon EC2).

Google Compute Engine and Amazon EC2 have some key differences in accessing VMs. While Amazon EC2 requires you to include your own SSH key if you want terminal access to an instance, Compute Engine is more flexible in its approach.

Compute Engine VMs scaling goes up to 416 vCPUs and 11,776 GB of RAM while Amazon Elastic Compute Cloud scales up to 448 vCPUs and 24,576 GB of RAM.

Talking about the storage of VM images, GCP stores those on Compute Cloud, while AWS stores its images in different services – EBS (Amazon Elastic Block Store) or S3 (Amazon Simple Storage Services). Another difference is that while Amazon machine images are only available in certain geo-locations, the images on Compute Engine are available globally.

Content Delivery Network (CDN)

Both GCP and AWS offer Content Delivery Networks to help you deliver your content and services to end-users faster. GCP’s CDN goes by the name Cloud CDN while Amazon calls its CDN Amazon CloudFront. This is done by replicating and hosting the content across their global infrastructure which allows more localized access. This results in better responsiveness, faster load times, and reduced bandwidth strain for all your applications, services, and websites.

Networking Features

100s of interconnected data centers from across the world form part of both GCP and AWS. Networking services on offer by both can deliver high-speed connectivity to virtual machines, other cloud services, and on-premises servers. Designed for low latency levels and countless redundancy scenarios, both providers offer high fault tolerance.


Read the complete comparison on SIDGS blog.