An AWS user’s take on AWS vs. Microsoft Azure and Google Cloud Platform

If you’re new to the field, you will want to choose the platform that will help you get started with cloud computing. As a longtime AWS user, I believe that this is an excellent platform for a future cloud user. But there are also valid reasons for being familiar with all of the leading cloud providers. This post is about AWS vs Microsoft Azure and Google Cloud with a focus on the following categories: Compute, analytics, storage, network, and pricing.

skilled-team

AWS vs Microsoft Azure and Google Cloud Platform

First, let’s say a few words about each of the platforms:

  • Amazon Web Services. Launched in 2006, AWS has a bit of a head start on the other platforms. With constant innovations and improvements over the years, the platform now has more than 70 services with a wide range of coverage. AWS servers are available in 14 geographical regions. Market share of the company is steadily growing, reporting 31% market share in the second quarter of 2016.
  • Microsoft Azure. Running since 2010, Microsoft Azure is a complex system that provides support for many different services, programming languages, and frameworks. It has 67 services and data centers in 30 different geographical regions. It currently holds 11% of the market as of Q2 2016.
  • Google Cloud Platform. Introduced in 2011, Google Cloud Platform is the youngest platform. Designed to meet the needs of Google Search and Youtube, it became available to everyone as a part of the Google for Work package. It has more than 50 services and 6 global data centers, with another 8 announced for 2017. With only 5% of market share and quite aggressive expansion, Google’s moment is yet to come.

aws-azure-gcp-logo

Now that we know who are we dealing with, let’s start with our comparison:

Compute

Computing is a fundamental process for your entire business. The advantage of cloud computing is that you have a powerful and expandable computing force at your disposal that is ready when you need it.
The central AWS computing service is Elastic Compute Cloud (EC2). EC2 has become a synonym for scalable computing on demand. Depending on the industry, additions such as AWS Elastic Beanstalk or EC2 Container Services can significantly reduce your costs. At the moment, AWS supports 7 different instance families and 38 instance types. It also offers regional support and zone support at the same time.
The heart of Microsoft Azure computing is Virtual Machines and Virtual Machine Scale Sets, which can be used for processing. Windows client apps can be deployed with the RemoteApp service. Using Azure, you can use 4 different instance families, 33 instance types, and you can place it in different regions. Zone support is not provided.

Google Cloud Platform uses Compute Engine for running computing processes. One disadvantage is that its pricing is less flexible compared to AWS and Azure. It supports most of the main services that you would need such as container deployment, scalability, web and mobile apps processing, etc. Google Cloud supports 4 instance families, 18 different instance types, and provides regional and zone support.
AWS is the clear front runner when it comes to compute power. Not just because it offers you the most learning resources, but also because it provides the best learning platform.

Analytics

Cloud computing platforms provide quite a lot of useful data about your business. All you need to do to is make the proper analysis.
In the field of data analytics, AWS has made an entry to a big data and machine learning. However, if you don’t need extensive data analysis, you can use its Quick Sight service. This service will help you discover patterns and make correct conclusions from the data you’re receiving.
Similarly, Azure has taken steps toward big data and machine learning, but they don’t have a specific offering in these areas.
Google Cloud Platform, however, has the most advanced offering for big data analysis, machine learning, and artificial intelligence.
If you’re looking for a high level of data analytics, Google Cloud Platform is probably the best choice. However, if you just want to keep track of your daily business, AWS will serve you just fine.

analytics

Storage

Storage is an important pillar of cloud computing because it enables us to allocate all sorts of information (needed for our business) in an online location.
The AWS Simple Storage Service, known as S3, is pretty much industry standard. As a result, you will find a wealth of documentation, case studies, webinars, sample codes, libraries, and tutorials to consult, as well as forum discussions where AWS engineers participated. It’s also good to know that S3 is object oriented storage and you can also use Glacier as the archiving service.
Azure and Google Cloud Platform both have quite reliable and robust storage, but you won’t find anywhere near as much documentation and information about them as you will with AWS. They also have working and archive storage and different additional services, but they can’t out-perform AWS.
Here, AWS’s deep resources for new users makes it the clear champion in this category.

Network

It may come in handy to have your network in the cloud. You can have your VPN in an isolated place for your team only. And, it’s a great feature that adds value to your cloud system.
The AWS offering here is quite good. You can use the Virtual Private Cloud to create your VPN and set your network topology, create subnets, route tables, even private IP address ranges, and network gateways. On top of that, you can use Route 53 to have your DNS web service.
Microsoft Azure also has a solid private networking offer. Its Virtual Network (VNET) allows you to set your VPN, have public IP if you want, and use a hybrid cloud, firewall, or DNS.
Google Cloud Platform’s offering is not as extensive. It has the Cloud Virtual Network, and supports subnet, Public IP, firewall protection, and DNS.
The networking category winner is AWS because it has the most reliable DNS provider.

Pricing

At the end of the day, everyone wants to know: “So, how much is that going to cost me?” Because prices for each provider will be formed according to your needs and requirements we can’t quote exact costs here. However, we can tell you about the pricing models that each provider is using.
AWS uses three payment models:

  • On demand: You pay only for the resources and services you use
  • Reserve: Choose the quantity of resources that you want to book upfront for 1 to 3 years and pay based on utilization
  • Spot: Take advantage of unused capacity and bid with others for additional space

Please note that AWS charges are rounded by the hour used.

Azure pricing is a bit flexible and charges per minute, by rounding per commitments. Their pricing models aren’t as flexibile compared to other platforms. Sustained use pricing is created to enable discounts in the case of on-demand use if a particular instance is used for a larger percentage of the month.

GCP pricing is similar to Azure. They also charge per minute, rounding in 10 minutes per period. In addition to on-demand charging, GCP offers sustained use discounting, which means that you will get a discount for regular usage.

Pricing models are a bit tricky. Each platform offers a pricing calculator that can help you estimate costs. If you consider using AWS, I would suggest that you get in touch with a local APN company, and they can help you estimate your monthly costs.

 

Avatar

Written by

Ivana Sabo

Ivana is Community Manager in Business Incubator Novi Sad by day and Content Writer by night. She is interested in startups, entrepreneurship, all things Cloud, internet marketing, and event organization. When she is not working Ivana enjoys adventurous life with her family.

Related Posts

Avatar
Jeremy Cook
— September 17, 2019

Cloud Migration Risks & Benefits

If you’re like most businesses, you already have at least one workload running in the cloud. However, that doesn’t mean that cloud migration is right for everyone. While cloud environments are generally scalable, reliable, and highly available, those won’t be the only considerations dri...

Read more
  • AWS
  • Azure
  • Cloud Migration
Joe Nemer
Joe Nemer
— September 12, 2019

Real-Time Application Monitoring with Amazon Kinesis

Amazon Kinesis is a real-time data streaming service that makes it easy to collect, process, and analyze data so you can get quick insights and react as fast as possible to new information.  With Amazon Kinesis you can ingest real-time data such as application logs, website clickstre...

Read more
  • amazon kinesis
  • AWS
  • Stream Analytics
  • Streaming data
Joe Nemer
Joe Nemer
— September 6, 2019

Google Cloud Functions vs. AWS Lambda: The Fight for Serverless Cloud Domination

Serverless computing: What is it and why is it important? A quick background The general concept of serverless computing was introduced to the market by Amazon Web Services (AWS) around 2014 with the release of AWS Lambda. As we know, cloud computing has made it possible for users to ...

Read more
  • AWS
  • Azure
  • Google Cloud Platform
Joe Nemer
Joe Nemer
— September 3, 2019

Google Vision vs. Amazon Rekognition: A Vendor-Neutral Comparison

Google Cloud Vision and Amazon Rekognition offer a broad spectrum of solutions, some of which are comparable in terms of functional details, quality, performance, and costs. This post is a fact-based comparative analysis on Google Vision vs. Amazon Rekognition and will focus on the tech...

Read more
  • Amazon Rekognition
  • AWS
  • Google Cloud Platform
  • Google Vision
Alisha Reyes
Alisha Reyes
— August 30, 2019

New on Cloud Academy: CISSP, AWS, Azure, & DevOps Labs, Python for Beginners, and more…

As Hurricane Dorian intensifies, it looks like Floridians across the entire state might have to hunker down for another big one. If you've gone through a hurricane, you know that preparing for one is no joke. You'll need a survival kit with plenty of water, flashlights, batteries, and n...

Read more
  • AWS
  • Azure
  • Google Cloud Platform
  • New content
  • Product Feature
  • Python programming
Joe Nemer
Joe Nemer
— August 27, 2019

Amazon Route 53: Why You Should Consider DNS Migration

What Amazon Route 53 brings to the DNS table Amazon Route 53 is a highly available and scalable Domain Name System (DNS) service offered by AWS. It is named by the TCP or UDP port 53, which is where DNS server requests are addressed. Like any DNS service, Route 53 handles domain regist...

Read more
  • Amazon
  • AWS
  • Cloud Migration
  • DNS
  • Route 53
Alisha Reyes
Alisha Reyes
— August 22, 2019

How to Unlock Complimentary Access to Cloud Academy

Are you looking to get trained or certified on AWS, Azure, Google Cloud Platform, DevOps, Cloud Security, Python, Java, or another technical skill? Then you'll want to mark your calendars for August 23, 2019. Starting Friday at 12:00 a.m. PDT (3:00 a.m. EDT), Cloud Academy is offering c...

Read more
  • AWS
  • Azure
  • cloud academy content
  • complimentary access
  • GCP
  • on the house
Avatar
Michael Sheehy
— August 19, 2019

What Exactly Is a Cloud Architect and How Do You Become One?

One of the buzzwords surrounding the cloud that I'm sure you've heard is "Cloud Architect." In this article, I will outline my understanding of what a cloud architect does and I'll analyze the skills and certifications necessary to become one. I will also list some of the types of jobs ...

Read more
  • AWS
  • Cloud Computing
Avatar
Nitheesh Poojary
— August 19, 2019

Boto: Using Python to Automate AWS Services

Boto allows you to write scripts to automate things like starting AWS EC2 instances Boto is a Python package that provides programmatic connectivity to Amazon Web Services (AWS). AWS offers a range of services for dynamically scaling servers including the core compute service, Elastic...

Read more
  • Automated AWS Services
  • AWS
  • Boto
  • Python
Avatar
Andrew Larkin
— August 13, 2019

Content Roadmap: AZ-500, ITIL 4, MS-100, Google Cloud Associate Engineer, and More

Last month, Cloud Academy joined forces with QA, the UK’s largest B2B skills provider, and it put us in an excellent position to solve a massive skills gap problem. As a result of this collaboration, you will see our training library grow with additions from QA’s massive catalog of 500+...

Read more
  • AWS
  • Azure
  • content roadmap
  • Google Cloud Platform
Avatar
Adam Hawkins
— August 9, 2019

DevSecOps: How to Secure DevOps Environments

Security has been a friction point when discussing DevOps. This stems from the assumption that DevOps teams move too fast to handle security concerns. This makes sense if Information Security (InfoSec) is separate from the DevOps value stream, or if development velocity exceeds the band...

Read more
  • AWS
  • cloud security
  • DevOps
  • DevSecOps
  • Security
Avatar
Stefano Giacone
— August 8, 2019

Test Your Cloud Knowledge on AWS, Azure, or Google Cloud Platform

Cloud skills are in demand | In today's digital era, employers are constantly seeking skilled professionals with working knowledge of AWS, Azure, and Google Cloud Platform. According to the 2019 Trends in Cloud Transformation report by 451 Research: Business and IT transformations re...

Read more
  • AWS
  • Cloud skills
  • Google Cloud
  • Microsoft Azure