Advantages and Disadvantages of Google Cloud and AWS

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Selecting both primary and secondary cloud services has become an important strategy for most businesses. Recent research shows that more than 90% of businesses and nonprofits are using two or more cloud service accounts aws vs gcp pricing 2022.

Cloud service providers such as Amazon Web Services, Microsoft Azure, Google, IBM, Dell EMC, Salesforce and others are making it easy for customers to come and go or increase or decrease capacity or applications on demand at all times. These and other providers also continue to provide companies with new, more efficient services, many of which now have artificial intelligence options to make them even more valuable aws vs gcp pricing 2022.

In this article, we take a closer look at two of the three largest cloud service providers in the world: Amazon Web Services and Google Cloud Platform.

What we're going to do here is to do a high-level comparison of these two global cloud storage and computing services, in a few different ways, to help you choose the one that's best for your company and the most cost- and feature-efficient available aws vs gcp pricing 2022.

AWS vs GCP: Key Similarities, Differences

To use AWS services, users must register for an AWS account. Once this process is complete, they can launch any services under their account within the limits set by Amazon and have those services credited to their specific account. If desired, users can create billing accounts and then create sub-accounts that roll up to them. This way, organizations can simulate standard organizational billing structures aws vs gcp pricing 2022.

Likewise, GCP requires users to set up a Google account to use its services. However, GCP organizes service usage by project rather than by account. In this model, users can create multiple completely independent projects under the same account. In an organizational setting, this model may be beneficial, allowing users to create project spaces for individual departments or groups in a company. This model can also be used for testing purposes: when a user completes a project, the project can be deleted, and all resources created by the project will also be deleted aws vs gcp pricing 2022.

Both AWS and GCP have default soft limits on services for new accounts. These soft limits have nothing to do with the technical limitations of a given service; rather, they exist to help prevent fraudulent accounts from using excessive resources and limit the risk of new users from spending more than they expect when exploring the platform. If you find that your application exceeds these limits, AWS and GCP will provide a direct way to contact the appropriate internal teams to raise the limits of their services.

Resource management interface

AWS and GCP each provide a command line interface (CLI) for interacting with services and resources. AWS provides the Amazon CLI, while GCP provides the Cloud SDK. Each is a unified CLI for all services, each is cross-platform, and binaries are available for Windows, Linux, and macOS. Also, in GCP you can use the Cloud SDK in a web browser using Google Cloud Shell.

AWS and GCP also provide web-based consoles. Each console allows users to create, manage and monitor their resources. GCP's console is at https://console.cloud.google.com/.

Pricing process is different

One area where there is no significant difference between these two market leaders is pricing. AWS uses a pay-as-you-go model and charges customers by the hour - even if they only use one minute, customers are still billed for a full hour. Google Cloud follows the latest pricing process.

Many experts recommend that businesses evaluate their public cloud needs on a case-by-case basis and match specific applications and workloads with the vendor that best meets their needs. Each leading provider has its own strengths and weaknesses, which make it a good choice for a specific project.

So let's dive into more details.

What is AWS?

Amazon Web Services (AWS) is Amazon's cloud service platform that provides services in different areas such as computing, storage, delivery, and other functions that help businesses scale and grow. AWS leverages these domains as services that can be used to create and deploy different types of applications in the cloud platform. These services are designed in such a way that they can collaborate with each other and produce scalable and efficient results. AWS services fall into three categories: Infrastructure as a Service (IaaS), Software as a Service (SaaS), and Platform as a Service (PaaS). Launched in 2006, AWS has become the most purchased cloud platform currently available. Cloud platforms offer various advantages such as reduced management overhead, minimized costs, etc.

AWS advantages and disadvantages based on user feedback

Pros: As it turns out, Amazon's biggest advantage is that it first hit the market in 2006 and hasn't had any serious competition for over two years. It maintains this leadership by continuing to invest heavily in its data centers and solutions. That's why it dominates the public cloud market. "AWS has been the market share leader in cloud IaaS for over a decade," Gartner Research noted in its Magic Quadrant for Cloud Infrastructure-as-a-Service worldwide report. In particular, AWS first launched its S3 (Simple Storage Service) in the fall of 2006. Since then, it has been a global leader for nearly 13 years.



Part of its popularity is, of course, the breadth of its global presence. AWS has a large and growing number of available services and the most comprehensive global network of data centers. Gartner describes AWS as "the most mature enterprise (cloud service) provider with the deepest capabilities for managing large numbers of users and resources."

Cons: Cost and data access are Amazon's Achilles' heels. While AWS regularly lowers prices, in fact, it has lowered prices by more than 80x over the past few years, which may mean the prices are too high. Many businesses find it difficult to understand a company's cost structure. They also struggle to manage these costs effectively when running a lot of workloads on the service. For customers, beware: make sure you understand the cost of ingesting data and files once they're in AWS's storage controls. AWS will explain it for you in advance, but know that it's much easier to start a process and upload files to the AWS cloud and access applications and services than to find the data and files you need and move them to another server or storage array. .

Overall, however, these shortcomings cannot be ignored in Amazon's strengths, as organizations of all sizes continue to use AWS for a wide variety of workloads.

What is Google Cloud Platform?

For the past 15 years, Google has been building one of the fastest, most powerful and highest quality cloud infrastructures on the planet. Internally, Google itself uses this infrastructure for several high-traffic and global services, including Gmail, Maps, YouTube, and Search. Due to the size and scale of these services, Google has put a lot of work into optimizing the infrastructure and creating a suite of tools and services for efficient management. GCP puts these infrastructure and these management resources at the user's fingertips.

Define GCP

Google Cloud was developed by Google and launched in 2008. It is written in Java, C++, Python (including Ruby). It also offers different services in IaaS, PaaS and serverless platforms. Google Cloud is divided into different platforms such as Google App Engine, Google Compute Engine, Google Cloud Datastore, Google Cloud Storage, Google Big Query (for analytics) and Google Cloud SQL. Google Cloud Platform provides advanced computing, storage, networking and databases.

It also provides different options for networking such as virtual private cloud, cloud CDN, cloud DNS, load balancing and other optional features. It also provides management of big data and Internet of Things (IoT) workloads. Cloud Machine Learning Engine, Cloud Video Intelligence, Cloud Speech API, Cloud Vision API, etc. also utilize machine learning in Google Cloud. Suffice to say, there are a lot of options inside Google Cloud that developers typically use instead of corporate employees in business units.

Google Regions and Regions

The regions deployed in almost all AWS products are distributed around the world. Each region includes a group of data centers that are relatively close to each other. Amazon divides each region into two or more Availability Zones. Likewise, GCP divides its service availability into regions and regions around the world. For a complete map of GCP global regions and regions, see Cloud Locations.

Also, some GCP services are at the multi-region level, rather than the more granular region or region level. These services include Google App Engine and Google Cloud Storage. Currently, the available multi-regional locations are the US, Europe, and Asia.

By design, each AWS Region is isolated and independent of other AWS Regions. This design helps ensure that the availability of one region does not affect the availability of other regions, and that services within a region are independent of each other. Also, GCP's regions are isolated from each other for availability reasons. However, GCP has built-in functionality that enables regions to sync data across regions based on the needs of a given GCP service.

Both AWS and GCP have points of presence (POPs) in many other parts of the world. These POP locations help cache content closer to the end user. However, each platform uses its own POP location differently:

AWS uses POP to provide the content delivery network (CDN) service Amazon CloudFront.

GCP provides Google Cloud CDN (Cloud CDN) using POP and provides built-in edge caching for services such as Google App Engine and Google Cloud Storage.

GCP's service points are connected to data centers via Google-owned fiber. Google says this unhindered connection means GCP-based applications can quickly and reliably access all services on GCP.

Google Cloud Platform: Pros and Cons Based on User Feedback

Pros: Users rely heavily on Google's engineering expertise. Since Google itself developed the Kubernetes application management standard that both AWS and Azure now offer, Google has a great product in application container deployment. GCP specializes in high-end computing products such as big data, analytics and machine learning. It also offers plenty of scale-out options and data load balancing. Google knows what a fast data center needs and provides fast response times in all of its solutions.

Cons: Google is a distant third in market share (8%; AWS 33%, Azure 16%), most likely because it doesn't offer as many services and features as AWS and Azure. Although it is rapidly expanding, it does not have global data centers like AWS or Azure. "While customers competing with Amazon are increasingly choosing GCP as a strategic alternative to AWS, customers typically choose GCP as a tier 2 provider rather than a strategic provider, and these customers tend to be more open source centric," Gartner said. Or DevOps - centered and therefore less adaptable to Microsoft Azure."