A Brief Analysis of Best Cloud Platforms of 2022: AWS, Azure and GCP

A Brief Analysis of Best Cloud Platforms of 2022: AWS, Azure and GCP

The Comparison of Ultimate Cloud Platforms: “AWS vs. Azure vs. Google Cloud”

In the IaaS model, an out-source supplier does the hosting and sustains key infrastructure. It comprises customer-owned gear, software, servers, and storage. In this case, users are only billed for the technology they utilize.

So, what distinguishes the ‘Big Three’ American cloud providers? And how do you choose the right IaaS platform for your business?

“Cloud computing” has quickly develop a significant pouring force for enterprises seeking to innovate, save costs, and increase agility by relocating applications from on premise data centers.

The “cloud-first” Satya Nadella has constructed his own global cloud network against AWS’s dominance. Another major player is Google, which is rapidly growing its public cloud offerings through the “Google Cloud Platform (GCP)”.

AWS vs Azure vs Google

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What is the Amazon Web Services Cloud Platform?

When it comes to cloud computing, storage, and delivery, Amazon’s AWS (Amazon Web Services) is the place to go. Combining SaaS, IaaS, and PaaS providers provides a scalable approach for swiftly distributing software throughout your organization.

What is Azure?

Similar to AWS, Azure provides compute, storage, development, and database options as SaaS, PaaS, and IO as a Service (PaaS). Cloud-based apps and other services may be managed by both the platform and the organizations that use it.

What Is the Google Cloud Platform?

But Google has just lately emerged as a serious rival to either AWS or Azure, despite its official introduction in 2008. Along with IaaS and PaaS capabilities, GCP offers a server-less platform with computing, storage, networking, database and IoT management.

Let’s compare the strengths first: “AWS vs. AZURE vs. Google Cloud Platform”

The decision to go with one cloud provider over another will be based on the specific requirements and workloads of each client. The term “multi-cloud strategy” refers to the practice of using numerous cloud providers in separate portions of an organization’s operations or for distinct use cases.

Several important differences between the three companies’ strategies might help customers decide which is best for them. AWS is unquestionably the industry leader, and its range of facilities, significance of its initial benefit. It typically gives it an edge over its competitors in terms of developer capabilities. Even while there are occasions when the cloud might be excessively costly.

AWS has done a decent job of converting its scope into economic advantages for its trades, as CSS Insight’s McGuire puts it.

Characteristics include:

  • Apple’s macOS is supported as well as the other main operating systems (unlike other providers).
  • A wide range of services is available.
  • An ever-expanding array of services
  • availability and maturity.
  • The ability to handle a huge number of users and resources makes for
  • There is a straightforward procedure for getting things going.

C-level executives often choose Microsoft. As long-term customers, they have confidence in the vendor to meet all of their business computing requirements. This includes anything from productivity and corporate applications to cloud computing tools for its engineers.

Characteristics include:

  • Software setup that is easy to use with the Microsoft platform.
  • Microsoft cloud computing customers are eligible for service contract savings.
  • Several languages may be selected from the built-in applications (“including Java, Python,.NET, and PHP”).
  • On-demand pricing is rather reasonable.
  • Multiple backup systems to minimize downtime.

Google is also known for its extensive knowledge of open-source technology. The Istio service mesh and Kubernetes for orchestration are both built on top of this technology, making containers, in particular, a top priority. They are rapidly becoming the norm for businesses in their respective fields.

Included among them are:

  • Incredibly scalable
  • Setting up and configuring is a breeze.
  • using well-known programming languages such as Python or Java.
  • Discounts that last a long time.
  • rapid response time and data load balancing.

Now let’s see the weaknesses: “AWS vs AZURE vs Google Cloud Platform”

As for the AWS offering, Constellation Research founder and lead analyst, Ray Wang note that “one difficulty is pricing on AWS, where many firms don’t completely grasp the metrics and the effect on architectural choices and the expenditures to maintain particular services.” Ray Wang

Additional flaws include

  • A heavy price to pay.
  • Fees for absolutely necessary services.
  • Fees imposed on customers for technical assistance
  • Caps for resources
  • A steep learning curve when starting a company

Maintaining and using Azure, on the other hand, needs a high level of technical competence that Microsoft does not have. There are several benefits to using Azure for on-premises computing that generally outweigh the drawbacks.

Some of its flaws are:

  • A lack of effective data management
  • There have been reports of challenges in the administration of networks.
  • Some claim that it is more difficult to master than other systems.
  • In comparison to other platforms, the look and feel may be less polished.
  • complained about problems with technical assistance.

There are certain benefits to using Google Cloud, but there are also some negatives. For Google, the connection with its corporate clients is non-traditional. It is, on the other hand, rapidly growing its products and worldwide data center presence. We may anticipate Google Cloud to become a more formidable rival to Amazon and Azure in the future.

Some of its flaws are:

  • Advanced features are missing.
  • The range of options is narrower.
  • There are fewer services available.
  • Data centers throughout the world.

What are the comparative Features and services?

All three companies have released new services and solutions aimed at cutting-edge technological sectors. Customers may use it to construct a phone app or a supercomputing setting according to specific demands.

AWS introduced SageMaker, a service designed to make machine learning deployments more straightforward.  

Additionally, “SageMaker” has an Amazon S3-compatible “HTTPS endpoint” for hosting features and a “EC2 instance spin-up” for practice settings, as well as a “hosted Jupiter notebook” environment.

Among the options are:

  • Computing
  • a place to keep things.
  • Interoperability with the cloud
  • Machine learning and data analytics.
  • Productivity aids.
  • Instruments for software development and management

Developers may create, test, and deploy algorithms using Microsoft’s Azure Machine Learning platform. Additionally, they can access a marketplace for pre-built APIs.

  • A cloud-based platform for developing software.
  • Technology-based on blockchains
  • Prediction Integration of the Internet of Things on a global scale
  • Aspects of DevOps

GCP is swiftly moving up to this challenge because of Google’s worldwide reach and almost limitless capacity for innovation. Currently, it provides such products and services as

  • Maintenance of productivity
  • The protection and administration of data
  • Developing cloud-based applications
  • engines of artificial intelligence and machine learning, such as cloud speech APIs, vision APIs, and others.
  • Insights in business

Services Comparison: AWS vs Azure vs GCP

The huge 3 cloud computing service comparison is shown in the chart as below for better clarification.

Services Offered AWS Azure GCP
In terms of Computing
  • AWS Beanstalk
  • Amazon EC2
  • Amazon EC2 Auto-Scaling
  • Amazon Elastic Container Registry
  • Amazon Elastic Kubernetes Service
  • Amazon Lightsail
  • AWS Serverless Application Repository
  • VMware Cloud for AWS
  • AWS Batch
  • AWS Fargate
  • AWS Lambda
  • AWS Outposts
  • Elastic Load Balancing
  • Platform-as-a-service (PaaS)
  • Function-as-a-service (FaaS)
  • Service Fabric
  • Azure Batch
  • Cloud Services
  • Container Instances Batch
  • Azure Container Service (AKS)
  • Virtual Machines Compute
  • Engine
  • Virtual Machine Scale Sets
  • App Engine
  • Docker Container Registry
  • Instant Groups
  • Compute Engine
  • Graphics Processing Unit (GPU)
  • Knative
  • Kubernetes
  • Functions
In terms of Storage
  • Simple Storage Service (S3)
  • Elastic Block Storage (EBS)
  • Elastic File System (EFS)
  • Storage Gateway
  • Snowball
  • Snowball Edge
  • Snowmobile
  • Blob Storage
  • Queue Storage
  • File Storage
  • Disk Storage
  • Data Lake Store
  • Cloud Storage
  • Persistent Disk
  • Transfer Appliance
  • Transfer Service
In terms of Machine Learning
  • SageMaker
  • Comprehend
  • Lex
  • Polly
  • Recognition
  • Machine Learning
  • Translate
  • Transcribe
  • DeepLens
  • Deep Learning AMIs
  • Apache MXNet on AWS
  • TensorFlow on AWS
  • Machine Learning
  • Azure Bot Service
  • Cognitive Services
  • Cloud Machine Learning Engine
  • Dialogflow Enterprise Edition
  • Cloud Natural Language
  • Cloud Speech API
  • Cloud Translation API
  • Cloud Video Intelligence
  • Cloud Job Discovery (Private Beta)
In terms of Backup
  • “Glacier”
  • Archive Storage
  • Backup
  • Site Recovery
  • Nearline (frequently accessed data)
  • Coldline (infrequently accessed data)
In terms of Database
  • Aurora
  • RDS
  • DynamoDB
  • ElastiCache
  • Redshift
  • Neptune
  • Database Migration Service
  • SQL Database
  • Database for MySQL
  • Database for
  • PostgreSQL
  • Data Warehouse
  • Server Stretch Database
  • Cosmos DB
  • Cloud SQL
  • Cloud Bigtable
  • Cloud Spanner
  • Cloud Datastore

How about Comparison analysis of the Networking

One or more of these three cloud computing services might be appropriate for your business. We believe all three networks indicated are good alternatives, despite their differing network coverage and features. However, we’ve arranged them in the following order:

Amazon.

To guarantee reliable facility, Amazon has constructed a comprehensive global structure about 22 distinct worldwide sections, 114 edge sites, and 14 data hubs. In this way, AWS can provide a wide series of facilities with faster positioning prototypes, distribution, and retort intervals. Additionally, its 802.1q VLANs enable private networks to connect to AWS through any of the numerous Direct Connect Locations.

Azure.

As of this writing, there are 54 Azure regions throughout the world, and that number is expected to increase. Even AWS can’t keep up with the speed and security of this network. It is also possible for enterprises to use a hybrid model to connect using the Azure Virtual Network, which allows them to use their existing IP addresses and DNS servers.

GCP.

Despite being less spread than “Amazon Web Services and Microsoft Azure, Google Cloud Platform” benefits from Google’s unique capacity to innovate. There are currently up to 21 areas and data centers across the world where Google works, owing to underwater cable. For those who don’t have connectivity to an IPsec VPN, you may still connect using solid direct links.

Analysis of the Market Shares and Growth Rate

Google, Amazon, and Microsoft dominate the cloud services business. AWS, Amazon’s cloud service, has a market share of around 31%. As a result, Amazon Web Services (AWS) takes home as much as 50 percent of the income in the IaaS (Infrastructure as a Service) market.

GCP is in the 3rd position with “6% of the market share”. Followed by Microsoft Azure with 20%. The market, on the other hand, is highly volatile, with a high number of variations. Among the leading active businesses is cloud services, which sees annual growth of roughly 30%.

See the Pricing

IT companies are often influenced by pricing when making their selection of a public cloud service provider.

Machine Type AWS Azure GCP
Smallest Instance Amazon Web Services (AWS) charges roughly US$69/month for the simple instance, there are two CPUs and eight virtual RAMs. Using Azure, you can get with “2 vCPUs and 8 GB of RAM” for roughly US$70 per month.

Relative to AWS, GCP provides the basic instance with “2 virtual CPUs and 8 GB of RAM for 25% less.” So it’ll be roughly $52/month.

Largest Instance AWS’s biggest instance with “3.84 TB RAM and 128 vCPUs” costs roughly $3.97/hour. Azure’s biggest instance has “3.89 TB RAM and 128 vCPUs. It’s around $6.79/hour.”

GCP has the biggest instance with “3.75 TB RAM and 160 vCPUs. It’ll cost you around $5.32/hour.”

Aside from the previously stated price models, there is one more to discuss! AWS and Azure charge by the minute, but GCP charges by the second. GCP also offers different incentives and applications to maximize demand.

Who are their Customers?

For organizations in a variety of sectors, AWS is clearly the preferred cloud computing platform. On the other hand, Azure is cross-industry, cross-region, cross-size. We may use Intricately to find out who is paying the most for their services ($500K+ per month).

Amazon AWS Azure GCP
Customers Spending Customers Spending Customers Spending
Netflix $19m Verizon $79.9m “Verizon” $79.9m
Twitch $15m MSI Computer $78m “Twitch Interactive” $63.8m
LinkedIn $13m LG Electronics $76.7m “CenturyLink” $61.8m
Facebook $10m CenturyLink $61.9m “LinkedIn” $41.1m
Turner Broadcasting $10m NTT America $48.7m “News Corp” $40.9m
BBC $9 Wikimedia Foundation $42.6m SAP $40.1m
Baidu $9 LinkedIn Corp $41.2m “Facebook” $ 39.4m
ESPN $8 News Corp $40.5m “Intel” $39.2m
Adobe $8 Adobe $39.9m Yahoo $46.6m
Twitter $7 Intel $38.5m “Marriott International” $35.9m

The outcome of the Comparison, which one to choose?

AWS continues to dominate in terms of features and maturity. The gap between it and the rest of the pack is narrowing. Enterprise-friendly features and technologies make it a viable option for large organizations.

Even as it continues to develop, its huge infrastructure allows for fast price cuts. By investing in the Azure cloud platform and increasingly integrating it is on-premise software with Microsoft’s on-premise software, Microsoft looks to be bridging the gap between the two. Microsoft Azure will remain a compelling offer for enterprises already significantly engaged in Microsoft technology and developer capabilities.

Another big business rival might be Google with its new governance. However, it has to do more in order to become a viable option for businesses, particularly with “Kubernetes and machine learning.”

Conclusion

How do you make a decision between AWS, Azure, and Google Cloud? The good news is that this site has answered your questions. When Amazon Web Services (AWS) initially entered the market in 2006, it quickly became the dominant player in the sector.

According to “Synergy Research Group’s data” for the third quarter of 2019, AWS has a market share of 33% in the global general IaaS and PaaS market. After Microsoft, Google, and Alibaba, Microsoft has a market share of 16 percent each. Satya Nadella’s “cloud-first” CEO has helped Microsoft gain momentum in the cloud market, with the company establishing a worldwide cloud network of its own.

It’s been a long time since the term “cloud computing” was invented. As opposed to debating whether or not to embrace cloud computing, the most significant question today is which platform to use.

Finally, with this article now you are all equipped with proper knowledge and could go for your favorable cloud computing.

Frequently Asked Questions

Which is better, AWS or Azure or Google Cloud?

AWS has more than 200 services, whereas Azure has more than 200. While Microsoft Azure and Amazon Web Services (AWS) have more than 60 services, Google Cloud has more than 100 as well.

AWS vs Google vs Azure market share in 2022?

AWS offers the biggest service library. Azure comes in second with a strong AI, ML, and analytics offering. Google Cloud Platform ranks third in terms of service offerings. AWS holds nearly one third of market share and is above Azure and Google. GCP is leading among other platforms with 100% growth rate. On the other hand, high end customers get benefit from all these platforms which makes it difficult to choose one. 

Is Azure growing faster than AWS?

Yes, Microsoft Azure and Google Cloud are outpacing Amazon Web Services in terms of growth and protocol.

What are the differences between AWS, Azure, and Google Cloud Platform?

A comparison between “Amazon Web Services (AWS), Microsoft Azure (Azure), and Google Cloud (Google Cloud)”. Instances of both virtual servers and virtual machines are provided by Amazon Web Services (AWS). Virtual hard drives are provided by Azure, while virtual machine instances are provided by Google Cloud.

Is GCP easier than AWS?

As with AWS, it is simpler and safer to work with the Google Cloud Platform (GCP). Take a peek at what GCP has to offer, since it’s catching up fast.

Why is GCP better than AWS and Azure?

GCP is an important option for AWS and Azure because of its straightforward UI, reduced rates, well before VMS, and configurable compute choices. Google encrypts all wireless transmission routes in full encryption.

Why should I use GCP?

The same mechanism that Google employs to safeguard its own data, apps, systems, and customers protects yours as well. Google Cloud’s network, storage, and computing services all encrypt data at rest, in transit, and while it is being used.

Does Google use GCP?

There are a slew of “Google Cloud Platform (GCP)” services available in the cloud, all of which are based on the same architecture that powers the company’s end-user products, including Google Search, Gmail, Drive, and YouTube.

Who is AWS’s competitor?

Competitors are “Microsoft Azure, Google Cloud Platform, IBM Cloud, Oracle Cloud Infrastructure (Gen 2), VMware Cloud on AWS, Alibaba Cloud – International, vCloud Air powered by OVH, and Tencent Cloud – International”.Com

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