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AWS vs. Azure vs. Google Cloud – Cloud Platform Comparison in 2022

AWS vs. Azure vs. Google Cloud:

Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform are in a tough three-way contest for supremacy in public cloud computing (GCP). These top three cloud computing providers dominate the infrastructure as a service (IaaS) marketplaces and platform as a service (PaaS) marketplaces.

Particularly prevalent is AWS. According to a report from Synergy Research Group, Amazon maintained its 33% share of the global [cloud] market in 2020. “Amazon growth continued to match overall market growth closely,” the report reads. Microsoft, which came in second and once again outperformed the market, saw its market share rise to 18% over the last four quarters, or about three percentage points.

In the meantime, Google Cloud, with its dominance in artificial intelligence, is positioned for aggressive development as the AI industry increases and is known for providing discounts. Microsoft is particularly strong in SaaS.

Here is a summary of how AWS, Azure, and Google stack up in the cloud:

Web Services from Amazon

Amazon’s toolbox is extensive and is always expanding dramatically, making it unrivaled. However, AWS’s cost structure can be complex, and the company emphasizes public clouds more than hybrid or private ones, so working with your data center isn’t its primary concern.

Windows Azure

A strong rival to AWS with a very strong cloud infrastructure. Few firms have the enterprise background (and support for Windows) that Microsoft does, so if you’re an enterprise customer, Azure speaks your language. The Azure platform strives to interact with data centers; the hybrid cloud is a great strength. Azure is aware that you still manage a data center.

Cloud by Google

As a well-funded underdog in the race, Google cloud provider entered the cloud industry later and lacks the enterprise focus that attracts business clients. However, cloud providers’ extensive technical knowledge and the industry-leading tools for machine learning, deep learning, and data analytics are important benefits.

The overall pros and cons of AWS, Azure, and Google

There is no “one size fits all” cloud solution; each of the top suppliers has unique strengths and shortcomings that make them a solid choice for various projects.

Pros And Cons Of AWS

The market leadership of Amazon in the public cloud is one of its greatest advantages. AWS has held the top spot in terms of market share for cloud IaaS for more than ten years, according to Gartner’s Magic Quadrant for Cloud Infrastructure as a Service, Worldwide.

Undoubtedly, the vast breadth of its operations contributes to its popularity. AWS boasts the most extensive global network of data centers and a vast and expanding selection of readily available services. “AWS is the most mature, enterprise-ready service, with the deepest capabilities for regulating many users and resources,” the Gartner assessment said.

One of Amazon’s biggest flaws is its price. Even while AWS frequently lowers its prices, many businesses need help comprehending the company’s cost structure and properly managing those expenses when running many workloads on the service.

However, in general, Amazon’s advantages outweigh these drawbacks, and businesses of all sizes continue to use AWS for various workloads.

Pros And Cons Of Microsoft Azure

Microsoft entered the cloud industry later than its competitors. Still, it gained an advantage by adapting its on-premises products, such as Windows Server, Office, SQL Server, Sharepoint, Dynamics Active Directory,.Net, and others, for the cloud.

So many businesses use Windows and other Microsoft products, which are a major factor in Azure’s success. Enterprises that utilize a significant amount of Microsoft software frequently discover that using Azure makes sense because Azure is strongly linked with these other programs. For already-existing Microsoft customers, this fosters loyalty. Additionally, expect big service contract reductions if you are a Microsoft enterprise customer.

On the negative side, Gartner criticizes some of the platform’s flaws. Even though Microsoft Azure is an enterprise-ready platform, Gartner clients claim that, despite Microsoft’s lengthy history as an enterprise provider, the service experience feels less enterprise-ready than they anticipated. Customers complain about problems with technical support, documentation, training, and the size of the ecosystem of ISV partners.

Pros And Cons Of Google Cloud Platform

Since Google created the Kubernetes standard that AWS and Azure currently offer, Google has a strong container offering. GCP specializes in high-performance services, including machine learning, analytics, and big data. Because Google is familiar with data centers and quick response times, it provides a sizable scale and load balancing.

The drawback is that Google has a paltry third-place market share, possibly because it doesn’t have the usual rapport with business clients. However, it is rapidly growing its product lineup and network of international data centers.

According to Gartner, its “clients typically choose GCP as a secondary provider rather than a strategic provider; however, GCP is increasingly selected as a strategic alternative to AWS by customers whose businesses compete with Amazon, are more open-source- or DevOps-centric, and are thus less well-aligned to Microsoft Azure.

The following characteristics of AWS stand out: dominant market position; extensive, mature services; support for large enterprises; extensive training; global reach; challenging to use; cost control; and an abundance of options.

Microsoft Azure is the second-largest provider. Its features include integration with Microsoft tools and software, a wide feature set, support for open source, a hybrid cloud, and documentation and management tooling issues.

Google is a late arrival in the IaaS industry with fewer capabilities and services. It is designed for organizations that operate in the cloud and is committed to open source and portability.

Elastic Compute Cloud, or EC2, is Amazon’s premier computing service. EC2 is a “web service that offers safe, resizable computational capacity in the cloud,” according to Amazon. A broad selection of instances, support for both Windows and Linux, bare metal instances, GPU instances, high-performance computing, auto-scaling, and other features are just a few of the options that EC2 provides. Additionally, AWS has a free tier for EC2 that contains 750 hours each month for up to a year.

Dispatch Services

Amazon’s multiple container services, which support Docker, Kubernetes, and its Fargate service, which automates server and cluster management when using containers, are becoming increasingly popular within the computing sector. Additional benefits include Elastic Beanstalk for running and scaling web applications, Batch for batch computing tasks, and Lightsail, a virtual private cloud solution.

Computers from Microsoft: Virtual Machines

Virtual Machines are the leading cloud-based computing solution offered by Microsoft Azure. It touts integration with Microsoft software and support for Linux, Windows Server, SQL Server, Oracle, IBM, and SAP, in addition to improved security and hybrid cloud functionality. Like AWS, it offers a huge selection of instances, including instances tailored for AI and machine learning and GPU and high-performance computing possibilities. Additionally, it provides a free tier with a year’s worth of 750 hours per month of Windows or Linux B1S virtual machines.

Supplemental Services

Virtual Machine Scale Sets are Azure’s term for auto-scaling. Azure offers two container services: Azure Container Service, which uses Kubernetes as its foundation, and Container Services, which manages containers using Docker Hub and Azure Container Registry. It offers a Batch service and Cloud Services, similar to AWS Elastic Beanstalk, for scalable Web applications. Additionally, it has a special product for applications using a microservices architecture called Service Fabric.

Google Compute: Calculator

Comparatively speaking, Google’s selection of computing services is a little less extensive than its rivals. Compute Engine, its the main offering, features bespoke and predefined machine types, per-second charging, support for Linux and Windows, automated discounts, and a carbon-neutral infrastructure that consumes only half the energy of conventional data centers. One f1-micro instance can be used for free each month for a maximum of 12 months.

Put Kubernetes first

It is prepared to provide containers and microservices like all of the top cloud vendors. For businesses interested in using containers, Google offers the Kubernetes Engine. It’s also important to note that Google has a strong background in this field due to its extensive involvement in the Kubernetes project.

Google vs. AWS vs. Azure vs.SSS in AWS Storage To EFS

Simple Storage Service (S3) for object storage, Elastic Block Storage (EBS) for persistent block storage (for use with EC2), and Elastic File System (EFS) for file storage are some of the storage services offered by AWS. The Storage Gateway, which provides a hybrid storage environment, and Snowball, a physical hardware device that businesses may use to transmit petabytes of data when internet transmission is impractical, are two of its more innovative storage offerings.

Archives and databases

The Relational Database Service (RDS), DynamoDB NoSQL, ElastiCache in-memory data store, Redshift data warehouse, Neptune graph database, and Database Migration Service are all SQL-compatible databases offered by Amazon. Amazon provides Glacier, which is a low-cost option for long-term archive storage. Additionally, backup and archiving procedures can be readily set up via its Storage Gateway.

Storage Services in Azure

Blob Storage for REST-based object storage of unstructured data, Queue Storage for large-volume operations, File Storage, and Disk Storage are some of the essential storage services offered by Microsoft Azure. A Data Lake Store is also included, which benefits big data applications.

a big database

There are many different database solutions available with Azure. It offers three SQL-based options: SQL Database, MySQL Database, and PostgreSQL Database. In addition, it provides a Data Warehouse service, Cosmos DB, and NoSQL Table Storage. Its hybrid storage solution, Server Stretch Database, and its in-memory service, Redis Cache, were created expressly for companies using Microsoft SQL Server in their data centers. In contrast to AWS, Microsoft provides Site Recovery, Archive Storage, and a genuine backup service.

Google Storage: Additional Storage Options

An increasing number of storage services are offered by GCP. Its unified object storage service, Cloud Storage, also has a Persistent Disk option. It provides online transfer services in addition to a Transfer Appliance that is comparable to AWS Snowball.

NoSQL and SQL

GCP offers the relational Cloud Spanner database, which is intended for mission-critical applications, as well as the SQL-based Cloud SQL. Additionally, it provides Cloud Bigtable and Cloud Datastore as two NoSQL choices. It lacks backup and archiving capabilities.

See Complete Table

Services for Vendor Storage

Services for databases

Database migration service – Glacier Azure, AWS Simple Storage Service (S3), Elastic Block Storage (EBS), Elastic File System (EFS), Storage Gateway, Snowball, Snowball Edge, Snowmobile, Aurora, RDS, DynamoDB, ElastiCache, Redshift, Neptune, and Snowball.

Key Cloud Tools for AWS, Azure, and Google

In the future, analysts predict that serverless computing, the Internet of Things (IoT), machine learning, and artificial intelligence will become crucial differentiators for cloud vendors. All three top vendors have started experimenting with these service offerings and are likely to grow them in the upcoming year.

AWS Key Tools: Serverless To Sagemaker

AWS provides the most extensive collection of services in these categories, just like in other areas. Highlights include its Lex conversational interface, which also powers its Alexa services, its SageMaker service for developing and deploying machine learning models, its Greengrass IoT messaging service, and its Lambda serverless computing service.

ML and AI

As one of its numerous AI-focused services, AWS provides DeepLens, an AI-powered camera for creating and implementing machine learning algorithms for applications like optical character recognition and image and object detection. AWS has introduced the open-source deep learning framework Gluon, enabling developers and non-developers to swiftly build and train neural networks without needing any prior AI programming experience.

Cognitive Services are important Azure tools.

Microsoft provides a machine learning service and a bot service on Azure after making significant investments in artificial intelligence. In addition, it offers cognitive benefits 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 management and analytics services for IoT, and Functions is the name of its serverless computing solution.

helping Microsoft software

Unsurprisingly, some of Azure’s best capabilities are designed to help Microsoft software that is installed locally. Windows Server Backup in Windows Server 2012 R2 and Windows Server 2016 are connected by Azure Backup. Visual Studio projects are hosted on Azure by Visual Studio Team Services.

Google’s Core Tools: Strong in AI

AI and machine learning are major areas of development for the Google Cloud Platform. Thanks to TensorFlow, an open-source software library for creating machine learning applications, Google is a pioneer in the development of artificial intelligence. The TensorFlow library is well-known and respected. The fact that AWS has added support for TensorFlow is evidence of its widespread use.

Serverless IoT

Powerful APIs for speech, translation, natural language, and other services are available through Google Cloud. It also provides serverless and IoT services; however, these are still in the beta stages.

Apache MXNet on AWS; TensorFlow on AWS; SageMaker; Comprehend; Lex; Polly; Recognize; Machine Learning; Translate; Transcribe; DeepLens; Deep Learning AMIs; oT Core; FreeRTOS; Greengrass; IoT 1-Click; IoT Analytics; IoT Button; IoT Device Defender; IoT Device Management; Lambda;

Azure’s Serverless Application Repository, Azure Bot Service, Cognitive Services, IoT Hub, IoT Edge, Stream Analytics, Time Series Insights, and Functions are just a few of the technologies mentioned.

Cloud Job Discovery (Private Beta) Cloud IoT Core (Beta) Cloud Functions GCP Cloud Machine Learning Engine Dialogflow Enterprise Edition Cloud Natural Language Cloud Speech API Cloud Translation API Cloud Video Intelligence (Beta)

Google, AWS, and Azure: Options For Hybrid And Multicloud

Each of these providers currently offers a variety of tools to give clients a greater choice when setting up their clouds, even though they have all only just dipped their toes into the hybrid and multi-cloud spaces:

  • AWS Multicloud and Hybrid
  • Outposts AWS
  • Wavelength AWS
  • Local Zones in AWS
  • Snowball AWS
  • Snowcone AWS
  • AWS and VMware Cloud
  • Anywhere ECS by Amazon
  • Anywhere EKS by Amazon
  • Hybrid and Multicloud Azure
  • Arc Azure
  • Stack Azure
  • Active Directory in Azure
  • Cloud Backup
  • Blob Storage in Azure
  • Security Center for Azure
  • Centinel in Azure
  • Google Multicloud and Hybrid
  • Authors \sLooker \sOperations
  • Cloud Run for Anthos, Cloud Build Traffic Director
  • View more: Top Cloud Hybrid Trends for 2021

Google vs. AWS vs. Azure: Prominent Users

AWS and Azure have had the lion’s share of high-profile enterprise customers for many years, but Google is quickly gaining more illustrious businesses and federal government agencies.

Customers of AWS

  • Netflix
  • CapitalOne
  • Coca Cola
  • Stanford University McDonald’s
  • Volkswagen
  • Common Electric
  • Petco
  • Philips
  • LG
  • Azure Clients
  • Basketball Association of America
  • Snowflake
  • AT&T \sAccuWeather \sEY
  • FedEx Papa John’s
  • GNC
  • L’Oreal \sNationwide
  • Google clients
  • Twitter
  • German Bank
  • PayPal
  • P&G
  • HOME CENTER
  • UPS
  • Etsy \sEquifax
  • 20th Century Fox as a target

Pricing Comparision

It cannot be easy to understand the price among these three cloud giants because it varies, and it can also vary depending on the particular arrangement a customer negotiates with their service representative. See the examples of price agreements with each provider below:

AWS Costs

Particularly confusing pricing can be seen on Amazon. Although a cost calculator is available, it is challenging to obtain precise estimates due to the numerous factors at play. According to Gartner, the granular pricing structure of [Amazon] is complicated, so using third-party cost management tools is strongly advocated.

Cloud Pricing

The use of Microsoft Azure doesn’t simplify matters at all. With outside assistance and extensive experience, it can be easier to understand Microsoft’s price structure due to its complex software license options and usage of situation-based discounts.

Google Costs

In contrast, Google distinguishes itself through its cost. It tries to deliver more affordable pricing for customers than the other providers’ advertised costs. According to Gartner, “Google leverages steep discounts and incredibly flexible contracts to try to win projects from clients that are currently spending a lot of money with cloud competitors.”

Availability Zones compare Google, AWS, and Azure.

One of these top clouds might be ideal for your business model, depending on where your global operations are based and the local restrictions you must adhere to:

North America, South America, Europe, the Middle East, Africa, and Asia Pacific are the AWS Availability Zones. Find out more here.

Brazil, Canada, Chile, Mexico, the United States, and Azure Government are among the Azure availability zones. Find out more here.

Asia, Australia, Europe, North America, and South America are among the Google availability zones. Find out more here.

Azure vs. AWS vs. What’s Best For You on Google?

As was stated at the outset of this post, your requirements and workloads will determine which public cloud vendor is ideal for you. Your best vendor for one project may differ from your best vendor for another. According to many experts, most businesses will make significant investments in multicloud. Following a multi-cloud strategy may assist reduce vendor lock-in or matching workloads with the best service available.

The AWS Option

Due to its vast scale and extensive selection of tools and services, AWS is a sure bet. The only reason not to select Amazon is if you prefer a more intimate exchange, which a tiny boutique store can provide. Because of its size, it is difficult for Amazon to maintain a tight relationship with every client, but there are managed services companies that can.

“The Azure Option”

Of course, Microsoft’s retail locations are its main draw. All of your current. Azure will support Net code, your server environment will be able to connect to Azure like other cloud providers, and moving on-premises apps will be simple. Additionally, Azure’s strong emphasis on hybrid clouds will let you join the fast, scalable (and feature-rich) Microsoft cloud with the legacy data center infrastructure.

Google’s Option

Despite its rapid growth, Google is still a work in progress. The dominant search engine needs a long history of working with companies. However, it is completely devoted and has invested billions in its cloud initiatives. Additionally, Cisco, a company familiar with businesses, is a partner. The people who looked at Google a year ago and weren’t pleased with what they saw are those who should look at it now. They might be taken aback. Google’s cloud was constructed using its strengths in scale and machine intelligence. It’s worth a look.

Conclusion

Choosing the ideal public cloud provider for your company can be daunting. Along with the number of choices, it’s also important to keep track of developing technologies and trends. With a comprehensive view, you’ll make an informed decision about which cloud platforms are best for your needs. Additionally, when considering options like Azure vs. AWS vs.

Google Cloud Platform, the most important thing is to select what works best for your specific workloads and requirements. In the end, you will find a provider that meets your business needs in terms of cost, service level agreement (SLA) reliability, performance management capabilities, cloud service provider, advanced data security features, cloud computing services, and regional availability. More Blog And Follow YouTube Channel

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