Grab Deal : Flat 30% off on live classes + 2 free self-paced courses! - SCHEDULE CALL

- AWS Blogs -

AWS vs Azure vs Google Cloud | Comparison Guide



Introduction

As businesses continue to shift towards cloud-based services, the choice of cloud provider has become more critical than ever. AWS, Azure, and Google Cloud are the most popular cloud service providers, each offering unique features and benefits. In this blog, we will compare AWS vs Azure vs Google Cloud career path and help you determine which cloud provider is the best fit for your business. We will discuss the key differences between the three providers: pricing, scalability, security, and more. By the end of this blog, you should have a better understanding of the strengths and weaknesses of each cloud provider and be able to make an informed decision about which one to choose for your business needs.

What is AWS Certification?

AWS certifications are designed to certify the technical skills and knowledge related to the best practices for building secure and reliable cloud-based applications utilizing AWS technology. To earn an AWS certification, individuals must prove their expertise by passing an exam.

Amazon Web Services is considered the current market leader in cloud computing platforms. It is a subsidiary of Amazon.com, Inc. AWS, is considered one of the most mature cloud platforms offering a wide range of services practically.

The current market leader of the cloud computing platforms, Amazon Web Services, is a subsidiary of everyone: individual developers, large enterprises, and even governments.

AWS had established its life as an internal cloud offering. By 2006, it had evolved into a publicly available cloud platform with services such as Amazon S3 cloud storage and elastic compute cloud (EC2). AWS now provides over 200 fully featured services to serve any demand and millions of users.

Leading AWS customers include:

  • Expedia
  • Netflix
  • Coinbase
  • Formula 1
  • Coca Cola
  • Intuit
  • Airbnb
  • Lyft
  • Coursera
  • Food and Drug Administration (FDA)

Features of AWS

Amazon offers 18,000+ services, including:

  • Computing
  • Storage solutions
  • Cloud app integration
  • Analytics and machine learning
  • Productivity tools
  • Developer and management tools

What is Microsoft Azure Cloud?

Microsoft Azure is considered to be the second-largest cloud platform. Established in 2010, Azure has evolved into a cloud platform with more than 20 products and services. Today, it is among the instant growing cloud platforms.

As Microsoft offers Azure, it serves a wide range of services tailored specifically for Microsoft-centric enterprises making the switch to a cloud or a hybrid-cloud environment smooth for multiple firms. For approximately 95% of Fortune at least 500 organizations, Microsoft Azure, has a proven track record in Catering to organization users.

Necessarily, Azure is unlimited to Windows-based services. It also supports various open-source languages, technologies, and platforms, allowing anyone to build and support multiple applications.

Renowned Azure customers include:

  • DAIMLER AG
  • McKesson Group
  • Asos
  • Center for Disease Control (CDC) – US
  • National Health Service (NHS) – UK
  • HSBC
  • Starbucks
  • Walgreens
  • 3M
  • HP
  • Mitsubishi Electric
  • Renault

What is Google Cloud?

Google Cloud Platform is offered by Google, which is considered a suite of cloud computing services that runs on the same infrastructure that Google utilizes internally for its end-user products, like Google Search, Gmail, YouTube, and Google Drive.

The Google Cloud Platform is the cloud offering by Google. Google Cloud is considered to be part of the overarching Google Cloud. Available to the general public beginning in the past few years, the Google Cloud Platform recently offers over 100+ services spanning computing, networking, big data, and much more. On the Current day, GCP includes services comprising Google Workspace, enterprise Android, and Chrome OS.

Compared to AWS and Azure, GCP is the smallest of the Big 3 cloud providers. Yet it offers a robust set of cloud services to power and supports any application.

Significantly GCP customers comprise:

  • Toyota
  • Unilever
  • Nintendo
  • Spotify
  • The Home Depot
  • Target
  • Twitter
  • Paypal
  • UPS

Comparison of AWS vs Azure vs Google Cloud

Below is the 14 topmost comparison between AWS vs Azure vs Google Cloud:

The basis of comparison AWS Azure Google Cloud
Caching Elastic Cache Redis Cache Cloud CDN
Processor In AWS, 128 can be the maximum processor in VM In Azure, it can be 128 In Google Cloud, it is only 96
Market place AWS Marketplace Azure Marketplace G Suite Marketplace
App testing In AWS, a device farm is being used In Azure, DevTest labs are being used Cloud Test lab is being used in this
GIT Repositories AWS source repositories Azure source repositories Cloud source repositories
Platform as service Elastic Beanstalk Cloud Services Google App Engine
Storage of object S3 Block Blob Cloud Storage
Managed data warehouse Redshift SQL warehouse Big Query
Kubernetes management EKS Kubernetes service Kubernetes engine
File storage EFS Azure Files ZFS and Avere
Serverless computing Lambda is being used for serverless computing In Azure, Azure functions are used In google cloud, Cloud functions are used
API management Amazon API Gateway Azure API gateway Cloud endpoints
Media Services Amazon Elastic Transcoder Azure media services Cloud video intelligence API
Official Website Aws.amazon.com Azure.microsoft.com Cloud.google.com

 

AWS vs Azure vs Google Cloud: Who Uses Them?

Due to its longstanding presence in the cloud market, AWS has developed a large and loyal community of users, which includes many high-profile clients such as Netflix, Airbnb, Unilever, BMW, Samsung, MI, and Zynga. As for Azure, although it is gradually attracting more high-profile customers over time, it currently boasts almost 80% of Fortune 500 firms as its clients, including companies like Johnson Controls, Polycom, Fujifilm, HP, Honeywell, and Apple. Google Cloud is built on the same infrastructure as Google Search and YouTube, and this has earned it the trust of many top-tier organizations such as HSBC, PayPal, 20th Century Fox, Bloomberg, and Dominos.

AWS vs Azure vs Google: Which is best?

As discussed, choosing the best cloud vendor depends on project needs and workloads. For example, if one vendor suits one project, then it is not necessary it will work best for your project too. So, check out the cloud strategy and match the workloads to lock in the best vendor for your next cloud project.

Why AWS?

Why Azure?

Why Google Cloud?

You will never go wrong with AWS because it has a range of tools and services. The only reason you should not use AWS is that you want a more personal relationship. 

Because of the large size of the Company, this is not possible for Amazon to set up personalized relationships. But some consultants can help you in the best way.

For Microsoft users, there is nothing better than the Azure cloud platform. Your existing .dotnet code will run on the Azure platform, and you will get additional discounts being an existing Microsoft user. 

If you want Linux or DevOps, then Azure could not be the ideal choice.

Google is a new player in the cloud market and growing slowly. In simple words, GCP does not have a legacy background in handling cloud services still, it is fully committed and spends billions to make it a great hit. 

Google is focusing more on AI and machine learning capabilities how they can, be leveraged with the Google Cloud Platform. Surely, GCP could be a stronger choice in the near future.

AWS vs Azure vs Google Cloud- The Battle of the Clouds

AWS vs AZURE:

  • AWS EC2 clients can design their own VMS or pre-arranged pictures, while Azure clients need to pick the virtual hard disk to make a VM which is pre-designed by the third party and need to indicate the number of storage servers and memory required.
  • AWS offers a temporary storage option which will be doled out when an instance is executed and is terminated when it ends. While Azure offers impermanent capacity by block storage through page Blobs for VMs and Block Blobs for object stockpiling.
  • AWS certification offers a Virtual private cloud so clients can make independent systems inside the cloud. In contrast, Azure offers a Virtual system through which we can make disconnected systems, subnets, course tables, and private IP addresses go as same as in AWS.
  • Azure is available to Hybrid cloud frameworks, while AWS is less open to private or outsider cloud suppliers.
  • AWS follows the pay more only as costs arise and they charge every hour, while Azure likewise follows the pay more only as costs arise model and they charge every moment, which gives a more careful estimating model than AWS.
  • AWS has more highlights and setups, and it offers a great deal of adaptability, power, and customization with some help from third-party device integration. Azure will be anything but difficult to utilize in the event that we know about Windows as it is a Windows platform, and it's complicated to coordinate on-premises Windows servers with cloud occurrences to make a hybrid condition.
  • AWS career path is more efficient and affordable.

Google Cloud vs AWS

  • With regards to market share, AWS is driving with in excess of 30 percent of the public cloud market share in its name. Google Cloud is gaining enormous ground at a rate rapidly evolving at 100 percent yet is even now falling behind AWS as far as market share is concerned.
  • AWS has been made accessible inside 21 geographic areas all around the globe. Each AWS locale involves different little geographic zones known as accessibility zones. Google Cloud Platform has been made accessible in 20 locales all around the globe, with 3 more on their way, and it has 61 zones around the world.
  • Since AWS was built up much before most cloud suppliers, including GCP, it has more adoption and execution in the cloud area, bringing about greater network support. This is the motivation behind why AWS has all the more prominent clients like Netflix, Airbnb, Unilever, BMW, Samsung, Xiaomi, and Zinga, and the sky is the limit from there.
  • Having a nearly increasingly developed foundation, the most extreme downtime stage experienced by AWS was in 2015, which went on for 2 hours and 30 minutes. Though having a dynamic framework, Google confronted a tremendous downtime in 2015 that went on for 11 hours and 34 minutes.

Azure vs Google Cloud

  • Azure gives a balanced arrangement of storage services and highlights, however, can have a precarious expectation to absorb information, particularly for clients without foundation in Microsoft innovation. Google offers lesser highlights yet sparkles away regarding storage pricing and convenience.
  • Google Cloud can't yet contend with Azure's huge server farm framework, yet compensates for it with more grounded help for the compartment and Kubernetes use cases and a smoother expectation to absorb information over a wide range of organizations.
  • Google Cloud contends with Microsoft Azure on cost and gives progressively adaptable evaluating across practically all cloud administrations. Notwithstanding, Azure gives a rebate model that can appeal to existing Microsoft clients.

AWS vs Azure vs Google

Conclusion

In conclusion, this comparison of Azure vs AWS vs Google Cloud has shown that each cloud provider has its own strengths and weaknesses, and the best-suited provider for an organization depends on its specific needs. AWS has the advantage of being the first and has a head start, along with a larger number of regions and availability zones and a significant market share. GCP has a higher growth rate, and Google Cloud's pricing model is more customer-friendly. Azure's integration with MS tools makes it a more sensible choice for organizations that use those tools. It's not about choosing the best cloud provider but rather the most suitable one for your organization's requirements. As Azure and GCP continue to climb, it's uncertain how long AWS will remain the top cloud provider. Pursuing in-depth AWS training, Azure, and GCP Microsoft AWS Master’s Program, and Google Cloud Training can be beneficial.

FAQs

1. Which cloud provider is best for enterprise businesses?

All three cloud providers offer enterprise-grade features and support. However, Azure is often the preferred choice for enterprises that already use Microsoft products and services.

2. Can I migrate my existing applications to the cloud?

Yes, you can migrate your existing applications to the cloud. All three cloud providers offer migration tools and services to help you move your applications to the cloud.

3. Which cloud provider has the best customer support?

All three cloud providers offer a range of support options such as documentation, forums, and support tickets. However, AWS has been praised for its fast and responsive customer support.

4. Which cloud provider should I choose?

The choice of cloud provider depends on your specific needs and requirements. It's recommended to evaluate the services, pricing, and support of each provider before making a decision.

5. Which cloud provider is the most cost-effective?

The cost of using each cloud provider can vary depending on the services you use and how you use them. However, Google Cloud generally offers more competitive pricing than AWS or Azure.

6. Which cloud provider has the best security features?

All three cloud providers offer robust security features such as firewalls, encryption, and identity management. However, AWS has been around the longest and has the most mature security platform.

fbicons FaceBook twitterTwitter google+Google+ lingedinLinkedIn pinterest Pinterest emailEmail

     Logo

    JanBask Training

    A dynamic, highly professional, and a global online training course provider committed to propelling the next generation of technology learners with a whole new way of training experience.


  • fb-15
  • twitter-15
  • linkedin-15

Comments

Trending Courses

Cyber Security Course

Cyber Security

  • Introduction to cybersecurity
  • Cryptography and Secure Communication 
  • Cloud Computing Architectural Framework
  • Security Architectures and Models
Cyber Security Course

Upcoming Class

5 days 08 Mar 2024

QA Course

QA

  • Introduction and Software Testing
  • Software Test Life Cycle
  • Automation Testing and API Testing
  • Selenium framework development using Testing
QA Course

Upcoming Class

5 days 08 Mar 2024

Salesforce Course

Salesforce

  • Salesforce Configuration Introduction
  • Security & Automation Process
  • Sales & Service Cloud
  • Apex Programming, SOQL & SOSL
Salesforce Course

Upcoming Class

8 days 11 Mar 2024

Business Analyst Course

Business Analyst

  • BA & Stakeholders Overview
  • BPMN, Requirement Elicitation
  • BA Tools & Design Documents
  • Enterprise Analysis, Agile & Scrum
Business Analyst Course

Upcoming Class

5 days 08 Mar 2024

MS SQL Server Course

MS SQL Server

  • Introduction & Database Query
  • Programming, Indexes & System Functions
  • SSIS Package Development Procedures
  • SSRS Report Design
MS SQL Server Course

Upcoming Class

5 days 08 Mar 2024

Data Science Course

Data Science

  • Data Science Introduction
  • Hadoop and Spark Overview
  • Python & Intro to R Programming
  • Machine Learning
Data Science Course

Upcoming Class

12 days 15 Mar 2024

DevOps Course

DevOps

  • Intro to DevOps
  • GIT and Maven
  • Jenkins & Ansible
  • Docker and Cloud Computing
DevOps Course

Upcoming Class

4 days 07 Mar 2024

Hadoop Course

Hadoop

  • Architecture, HDFS & MapReduce
  • Unix Shell & Apache Pig Installation
  • HIVE Installation & User-Defined Functions
  • SQOOP & Hbase Installation
Hadoop Course

Upcoming Class

6 days 09 Mar 2024

Python Course

Python

  • Features of Python
  • Python Editors and IDEs
  • Data types and Variables
  • Python File Operation
Python Course

Upcoming Class

5 days 08 Mar 2024

Artificial Intelligence Course

Artificial Intelligence

  • Components of AI
  • Categories of Machine Learning
  • Recurrent Neural Networks
  • Recurrent Neural Networks
Artificial Intelligence Course

Upcoming Class

13 days 16 Mar 2024

Machine Learning Course

Machine Learning

  • Introduction to Machine Learning & Python
  • Machine Learning: Supervised Learning
  • Machine Learning: Unsupervised Learning
Machine Learning Course

Upcoming Class

5 days 08 Mar 2024

 Tableau Course

Tableau

  • Introduction to Tableau Desktop
  • Data Transformation Methods
  • Configuring tableau server
  • Integration with R & Hadoop
 Tableau Course

Upcoming Class

6 days 09 Mar 2024

Search Posts

Reset

Receive Latest Materials and Offers on AWS Course

Interviews