Independence Day Offer - FLAT 30% OFF | JTINFLAT30

- AWS Blogs -

Difference Between Google Cloud, AWS & Microsoft Azure Cloud

Introduction

Here, we are comparing three popular cloud platforms AWS, Azure, and Google Cloud, each has its own strengths and weaknesses that make them ideal for different use cases.

In this cloud era, three vendors are dominating the IT marketplace. These are Amazon, Microsoft, and Google. For IaaS (Infrastructure-as-a-service) or PaaS (Platform-as-a-service) service models, these three are just ranked on the top when compared to the rest of the fields. Amazon is definitely the leader and it is supposed to dominate the cloud market for many years to come.

How exactly do AWS, Azure, and Google Cloud differ from each other? It can be explained based on various features and the overall pros and cons of all three platforms. Let us start some more meaningful discussion ahead –

AWS vs. Azure vs. Google – What are the pros and cons?

According to experts, we cannot say directly that only one is the best and rest are just the supportive choice but the success of a platform actually depends on how well it suits your Company requirements. Each suit different projects based on its strengths and weaknesses.

Difference Between Google Cloud, AWS & Microsoft Azure Cloud

AWS (Amazon Web Services) – Pros and Cons

This is the dominant cloud platform in the IT space but it could not be suitable for each and every project. Still, for IaaS services, Amazon will continue dominating the market for many years to come. One of the biggest reasons for the popularity of AWS is the massive scope of operations.

AWS has a massive array of services available so far and it is taken as the biggest network of data centers too. As per the Gartner report, AWS has the deepest capabilities of governing a large number of users and resources together.

The biggest problem with AWS is its pricing. However, the Company is lowering down its costs continuously still it is difficult for enterprises to understand its cost structure and managing costs when running a large volume of services. These cons are quickly outweighed by a perfect range of benefits and Companies of all sizes are using AWS for a variety of workloads.

Microsoft Azure – Pros and Cons

Microsoft entered the cloud market a little late but it took a jump start with its effective range of services and cloud benefits. The major reason for the popularity of the Azure platform is that many Companies deploy Windows software today.

Read: What Is Cloud Computing? A Beginners Guide To Cloud Computing

It can be quickly integrated with other applications and actually makes sense for large organizations. It is taken as the more loyal platform for Microsoft users. Also, if you are an existing Microsoft user then you may get attractive discounts on Azure cloud services.

According to Gartner, Azure is not that much perfect as it should be. The customers are facing problems with documentation, technical support, training materials, etc. Additionally, it does not provide suitable support to DevOps approaches because of selected automation features and much of management work is completed by the staff itself.

Google Cloud Platform – Pros and Cons

Google is also a strong candidate in the cloud race since it started the Kubernetes in comparison to the AWS and the Azure. Some of the major offerings of Google Cloud Platform includes machine learning, big data analytics and more. The other highlights are perfect load balancing, or considerable scaling etc.

GCP has an excellent response time and he knows data centers well. Google is ranked third in the IT marketplace because it does not provide as many services as AWS or Azure. Soo, it will expand as needed.

According to Gartner, GCP is not a strategic partner but it is taken as the secondary partner only. If your business competes with Amazon then you can freely choose GCP in that case. This is open source platform that is highly DevOps centric and well-aligned to Microsoft Azure.

AWS vs Azure vs Google – Compute & Storage

Compute is nothing but a fundamental role that explains things related to the computer workloads. For an effective cloud provider, this is always easy connecting multiple nodes together. Let us see the computing capabilities of all three platforms one by one –

Compute & Storage

  • First is Amazon EC2 that offers wonderful computing services to configure multiple virtual machines with the help of custom pre-defined AMIs.
  • Second is Microsoft Azure that offers a virtual hard disk which works similar to AMI in Amazon and helps in configuring virtual machines.
  • Last is Google Cloud Platform or GCP that utilizes a compute engine to configure the virtual machines.

Storage is another key aspect in cloud computing and the services offered by the storage domain are always related to the data storage. AWS offers storage running that are helpful in the long run while Azure and Google could also be taken as more respectable and reliable storage options. According to Gartner, Microsoft and AWS are the leaders in the cloud market. At the same time, IBM and Google would be the following cloud leaders soon.

Why don’t you take a demo session of live AWS training and learn these basics in real-time?

Read: Define AWS Step Functions Concepts with Example

Data Science Training - Using R and Python

  • No cost for a Demo Class
  • Industry Expert as your Trainer
  • Available as per your schedule
  • Customer Support Available

AWS vs Azure vs Google – Databases

A database is needed to store or manage the data in a more organized way. You should always keep in mind that Azure supports the big data, No SQL, or relational databases etc. AWS supports Dynamo DB and Google supports the Cloud data store services. All of them are suitable for different projects and you have the flexibility to choose any of them as per your convenience and the nature of the project. Amazon does not offer any backup service but it has the Glacier for long-term archival storage at very affordable prices.

On the other hand, Azure databases are quite extensive with Cosmo DB choice and a data warehouse service too. There is one Redis Cache that is particularly needed for the hybrid storage and specially designed for enterprises using Microsoft SQL server in their own data centers. Unlike AWS, Azure offers the backup services and archive storage too.

Last is the Google Cloud platform that is particularly popular for unified storage and a persistent disk too. In the case of the databases, GCP has a relational database and the cloud spanner to manage critical workloads. The two No SQL options in GCP include – Cloud Datastore and Cloud Bigtable. It does not any backup or archive services.

AWS vs Azure vs Google – Pricing Structure

When comparing all three, pricing may get tricky to understand but this is always possible to generalize the cost structure whenever needed. Let us check the pricing scheme for all three platforms one by one.

  • AWS pricing is the most complicated scheme where one calculator is offered by the Company to calculate the final costs but due to the lack of a few variables involved, this is not possible to find the accurate costs always. Here, you should use a third-party cost management tools to make the things in your favor.
  • Next is Microsoft Azure that is again complicated because of its tough software licensing options. Here, again you should use third-party cost management tools to make the things in your favor.
  • Google pricing is always easy to understand as compared to the other two platforms. The customer-friendly price structure of the Company beats other providers here. According to Gartner, the discounts offered by the Company are quite attractive and affordable too. With flexible contracts, this is easy for the Company to impress users as compared to other cloud vendors.

Tip – Organizations whose decisions for cloud vendor primarily based on the price structure then they need to analyze costs for each project wisely before making the final deal. At the same time, each cloud vendor is dropping prices for their services regularly so you should check frequently to get the affordable deals.

AWS vs Azure vs Google – What suits you the most?

As discussed already, the choice of best cloud vendor always 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 the best vendor for your next cloud project.

Why AWS?

You will never go wrong with AWS because it has a range of tools and services. The only reason why you should not use AWS is when 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 there are consultants who can help you in the best way.

Read: What Is Amazon DynamoDB? How Does It Work?

Why Azure?

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 to Linux or DevOps then Azure could not be the ideal choice.

Why Google Cloud?

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

Learn the basics of Cloud computing today with online AWS Training. Sign up here for a free demo session today!

Data Science Training - Using R and Python

  • Personalized Free Consultation
  • Access to Our Learning Management System
  • Access to Our Course Curriculum
  • Be a Part of Our Free Demo Class

AWS v Azure v 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 quantity of storage servers and memory required.
  • AWS offers 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 VM's and Block Blobs for object stockpiling.
  •  AWS offers Virtual private cloud so client can make independent systems inside the cloud Whereas Azure offers Virtual system through which we can make disconnected systems, subnets, course tables, private IP address 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 pay more only as costs arise and they charge every hour while Azure likewise follows pay more only as costs arise model and they charge every moment which gives more careful estimating model than AWS.
  • AWS has more highlights and setups and it offers a great deal of adaptability, pwer, and customization with some help for some, third-party devices integration. Though 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 anything but difficult to coordinate on-premises windows servers with cloud occurrences to make a hybrid condition.

Google Cloud vs AWS

  • With regards to market share, AWS is driving with in excess of 30 percent of public cloud market share in its name. Google Cloud is gaining enormous ground at a rate that is rapidly evolving at 100 percent yet is as even now falling behind AWS as far as market share is considered.
  • 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 the majority of the cloud suppliers, including GCP, it has more adoption and execution in the cloud area which has brought about greater network support. This is the motivation behind why AWS has all the more prominent clients like Netflix, Airbnb, Unilever, BMW, Samsung Xiaomi, Zinga, and the sky is the limit from there.
  • Having a nearly increasingly developed foundation, the most extreme down time stage experienced by AWS was in 2015 that went on for 2 hours and 30 minutes. Though having a dynamic framework, Google confronted a tremendous down time in 2015 that went on for 11 hours and 34 minutes. 

Azure v 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 a foundation in Microsoft innovation. Google offers lesser highlights yet sparkles away in terms of 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 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 be appealing for existing Microsoft clients.

Bottom Line:

I am sure by now you know a lot about AWS vs Azure vs Google Cloud. .Companies used various cloud platforms depending on their requirements.  If your Company relies more on Windows and Microsoft software programs then y you should know more about Microsoft Azure. 




    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.


Comments

Trending Courses

AWS

  • AWS & Fundamentals of Linux
  • Amazon Simple Storage Service
  • Elastic Compute Cloud
  • Databases Overview & Amazon Route 53

Upcoming Class

2 days 13 Aug 2020

DevOps

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

Upcoming Class

9 days 20 Aug 2020

Data Science

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

Upcoming Class

6 days 17 Aug 2020

Hadoop

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

Upcoming Class

4 days 15 Aug 2020

Salesforce

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

Upcoming Class

3 days 14 Aug 2020

QA

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

Upcoming Class

6 days 17 Aug 2020

Business Analyst

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

Upcoming Class

3 days 14 Aug 2020

MS SQL Server

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

Upcoming Class

3 days 14 Aug 2020

Python

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

Upcoming Class

-0 day 11 Aug 2020

Artificial Intelligence

  • Components of AI
  • Categories of Machine Learning
  • Recurrent Neural Networks
  • Recurrent Neural Networks

Upcoming Class

2 days 13 Aug 2020

Machine Learning

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

Upcoming Class

5 days 16 Aug 2020

Tableau

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

Upcoming Class

7 days 18 Aug 2020

Search Posts

Reset

Receive Latest Materials and Offers on AWS Course

Interviews