How is Google cloud different from AWS and Azure?

Since its start, cloud computing has made great strides. The dilemma of choosing a cloud platform has replaced the earlier one of whether to use cloud computing. AWS, Azure, and Google Cloud Platform proudly distinguish themselves as the top three cloud providers in the crowded cloud computing market. They make up 67% of the cloud services provided around the globe. Therefore, how do you make your decision? How can you end the AWS vs. Azure vs. Google Cloud argument? Though it depends on the enterprise requirements, Google Cloud has evolved as a game changer, especially in data management services. Here is the comparison to view the differences between AWS, GCP, and Azure:

General Comparison between Google Cloud, AWS, and Azure

The following table compares the google cloud, AWS, and Azure in general:

Google Cloud Vs AWS

1. GKE and EKS: Amazon was hesitant to support a deployment mechanism that would compete with its mainstream business. As a result, Google has been celebrating its role as Kubernetes’ creator and ongoing public leader. Another Google advantage is that it addresses enterprise clients’ needs to avoid vendor lock-in, whereas Amazon focuses on the Amazon Kubernetes system. Moreover, You can personalize a lot in GCP with sane, straightforward defaults, whereas with EKS, you face a plethora of options and attempt to understand how everything works together.
2. Web User Interface: Almost all Amazon items appear to have a poor user interface. GCP web user interface, on the other hand, is simple to use and provides sane defaults anytime you wish to offer anything, allowing you to deploy anything in a few clicks.
3. Security: As long as you don’t design carelessly, you should be fine using both AWS and GCP. GCP, however, has an advantage because everything is secured by default. For instance, in transit and at rest, their buckets and logs are encrypted. For some strange reason, AWS does not automatically encrypt buckets or logs; you must activate this. Additionally, GCP is constantly disseminating its internal security models, such as BeyondCorp and BeyondProd, and structuring GCP in a way that makes it simple for other businesses to integrate them

Google Cloud VS Azure

1. Virtual Machines: Azure Autoscaling, Cloud Services, and Resource Manager complements the Virtual Machines (VMs) at the core of the Azure compute offering. These all might be used to deploy applications in the cloud. In Google’s data centers, VMs are delivered using the scalable Compute Engine. They guarantee stable performance, boot up quickly, have persistent disc storage, and may be substantially customized to suit the user’s demands.
2. AI platform: In addition to accessing a marketplace for pre-made APIs, the Azure Machine Learning platform enables programmers to create, test, and deploy algorithms. Google provides a one-stop shop AI platform that allows machine learning experts to develop and deploy models using its well-known open-source TensorFlow deep learning library.
3. Functions and services: On Azure, Microsoft provides a service for bots and machine learning. It also offers cognitive services, such as the Bing Web Search API, the Text Analytics API, the Face API, the Computer Vision API, and the Custom Vision Service. It offers several administration and analytics functions. Machine learning and AI are two key focus areas for the Google Cloud Platform. TensorFlow, an open-source software library for creating applications for machine learning, has helped Google become a pioneer in AI development.

What Differentiates Google Cloud from other clouds?

Google Cloud Platform has unique features that strengthen its service. These differentiating services are:

1. Live Migration of Virtual Machines: When performing maintenance procedures like patching, hardware upgrades, and so on, Google Compute Engine live migrates active instances to a different host inside the same zone without VMs being rebooted. Live migration affects a virtual machine’s internal and external IP addresses, instance information, block storage data and volumes, OS and application state, network settings, and network connections.
2. Big Query Omni: We won’t have to worry about managing the underlying infrastructure because Anthos powers BigQuery Omni. You can securely access and cost-effectively analyze data across Google Cloud with BigQuery Omni, a configurable multi-cloud analytics solution. BigQuery Omni represents a new method of evaluating data stored using the “separation of computing and storage” feature. BigQuery offers stateless resilient computing that runs common SQL queries and scalable storage housed in Google Cloud or other public clouds by decoupling these two.
3. Automating the deployment of modern applications: Since apps have many pieces, some developers opt to create their apps in the cloud. Kubernetes by Google is for applications with many components. Google adopted a proactive strategy for automating the deployment of these multifaceted apps to the cloud. For instance, it opened itself to Kubo, an automation platform. It assisted developers using Cloud Foundry in automating the deployment of their applications from development platforms to the cloud.
4. Friendlier hand-holding for first-time users: The idea of a cloud services platform can be complex for a newbie to comprehend. For people, who are used to having the touchable device, a public cloud is a new and foreign beast. GCP provides detailed instructions for many of the most frequent activities, including spinning up a Linux-based virtual machine, which is the equivalent of claiming and configuring your brand-new computer out of thin air.
5. Cloud Bigtable: The widely distributed data system known as Cloud Bigtable, formerly known as BigTable, is based on the massive storage system Google developed for its use in storing search indexes. It organizes related data into a multi-dimensional assembly of key/value pairs. Analytics applications may manage such an assembly more easily than the index for a massive relational database with many tables.
6. Multicloud with Google Anthos: As Google’s first multi-cloud deployment platform, Anthos supports both hybrid cloud and AWS-based clouds (with Azure still to come), all of which are managed jointly under the GCP umbrella. The goal is to facilitate enterprise customers to use the distributed computing system they need. They may select their preferred storage options, virtual machine instance hosts, and container hosts based on market demand while keeping control of the gateway.
7. Pricing Model: The Google cloud platform now offers per-second billing for storage and computation. Sustained Use Discounts and Committed use discounts are two sorts of discounts that are automatically available to all of their clients. For instance, running for a month and suitable for typical workloads that will run for an arbitrary time, SDUs automatically apply up to 30–40% savings. With CUD, there are no upfront expenses, but they provide a discount of up to 60% for subscribers who sign up for a one- or three-year commitment.

How Cloud Evol facilitates you with Google cloud solutions?

Cloud Evol is a Google Cloud-powered cloud transformation and product development company. Our prominent solutions for the enterprises include

1. Data Engineering & analytics: Cloud Evol experts assist organizations in leveraging their data and gaining essential insights by leveraging the capabilities given by data platforms when transitioning to GCP-based services. Our data engineering teams have extensive experience developing data pipelines, translating long-running searches into near real-time information radiators, and transforming data into usable data for analysts. Here is how Cloud Evol works:
2. App modernization: The world of cloud-managed services is rapidly changing. With increased customer expectations, high-fidelity digital experiences, and large-scale datasets, businesses can no longer afford to meet their infrastructure needs in the cloud while managing everything higher up privately. In such a scenario, application modernization expands from a single request to a primary component of the whole cloud transition jigsaw. Cloud Evol’s comprehensive cloud approach, implementation, full-stack engineering, support, and security professionals collaborate as an integral part of the organization to modernize the application environment on the Google Cloud from start to finish.
3. DevOps as a Service: Google Cloud offers a variety of great features and services that could be very helpful to your business. We have extensive knowledge of the Google Cloud Platform and can provide fully managed services to our clients. We are thus in a position to provide you with solutions that satisfy all of your needs. To help you get the most out of your system, we have assembled a team of specialists in cloud computing and service administration. They can provide guidance and solutions.
4. Managed Services: GCP offers various cloud services, including computation, storage, and others. Cloud Evol Managed GCP service provides an advanced managed service with more support and a core support service at Google list pricing for customers who want to run their GCP installations to a great extent. This service also includes patching, monitoring, and billing.

Summing Up:

There is no clear winner between Google Cloud and AWS because each cloud computing platform has advantages and disadvantages. Google Cloud gives more speed, flexibility, and benefits to on-demand pricing. It also offers a variety of goods and services with a very generous always-free tier to satisfy the needs of most enterprises. Of course, you don’t have to choose between the two. You can benefit from AWS, Google Cloud, and Azure by implementing a multi-cloud strategy. In this manner, you may select the most cost-effective resources from each cloud provider to build a cloud environment that precisely suits the company’s requirements. If you want someone to assist you in cloud deployment, Cloud evol is always here.