AWS EC2 Vs Azure VM – Comparing Cloud Technologies

18 August 2022 | Noor Khan

When it comes to choosing a cloud service, it’s fair to say that the more advanced they get, the more options become available, and the more difficult it can be to decide what technology best suits your specific needs. AWS EC2 and Azure VM are technologies offered by leading technology brands, Amazon and Microsoft.

To help you decide, we’re comparing Amazon’s EC2 and Microsoft’s Azure VM.

What does AWS EC2 provide?

Amazon’s Web Services (AWS) Elastic Compute Cloud (EC2) has been generally available since August 2006, and has global availability, operating in 25 regions.

The service has a diverse list of Virtual Machine (VM) types, and it’s known for providing secure and resizable computing capacity, with easy access and usability.

Some of the features that are provided with EC2 include:

Global infrastructure made up of ‘Regions’ and ‘Availability Zones’
A choice of Operating Systems (OS)
Auto-Scaling
Optimised CPU configurations
Hibernation / Pause and Resume of Instances
Enhanced networking
High SLA commitment (99.99% availability)

Pros and cons of the AWS EC2 cloud technology

Pros:

Offers a wider range of functions for computing and storage optimisation usage
Autoscaling allows for predictive scaling, a machine learning approach, and the ability to automatically build policies based on user-provided strategies
Hibernation mode
AWS offers a wide range of billing options (On-Demand, Reserved, Spot, and Savings Plan)
Supported in 25 global regions

Cons:

Server maintenance and downtime can affect availability
May not be cost-effective for medium to large-scale usage due to the itemised costing
Variable performance and bottleneck issues reported with disk IO and high latency

What does Azure VM provide?

Azure VM also has global availability (33 regions) and has been generally available since June 2012. It is a Microsoft cloud technology with flexible virtualisation, offering services for general purpose, compute optimisation, memory optimisation, storage optimisation, and accelerated high-performance usage.

The service allows for up to 416 vCPUs, 12TB of memory, and 30Gbps ethernet, and is the first cloud development that offers 200Gbps ‘Infiniband’.

Azure uses a range of metrics to trigger scaling events, their Virtual Machine Scale Sets (VMSS) and VMs are managed as a ‘unit’, which can be scaled up and down when thresholds are met – or the scaling can be adjusted on a set schedule.

The Azure cloud platform covers more than 200 products and cloud services and is designed to help users build, run, and manage their applications.

Pros and Cons of the Azure VM Technology

Pros:

Offers a wider range of functions for General Memory and Accelerated / High-Performance usage
Scaling metrics can be user-specified and customised to requirements
High availability
Cost-Effective usage options
Supported in 33 global regions

Cons:

Does not have a hibernation mode
No predictive scaling options
Requires platform expertise
Fewer payment options (On-Demand, Reserved, and Spot)

AWS EC2 Vs Azure VM - Decide by balancing use, need and function

Both services are comparable in their initial pricing structures and have global availability. Users of the technologies have said that AWS EC2 is easier for beginners to use, due to its high levels of automation and feature – and that Azure, with its ability to use your own OS (Operating System), language, database, and tools of choice, is better for more advanced users.

At the end of the day, the choice between these two data-engineering tools is going to come down to your specific needs, your competence (and confidence) with the operations, and exactly what it is you want to use the service for.

Ardent data engineering services

With Ardent, you do not have to take the burden of researching technologies to make the right decision. You tell us your problems and challenges and we will find a solution with the technologies most suitable to provide the best outcome. Our highly skilled data engineers have been providing data engineering services for over a decade and have worked with a variety of technologies to make a recommendation based on your need. However, if you do have preferred technologies like our clients, we can accommodate that too. Discover how some of our customers succeeding with leading technologies:

Get in touch today and let Ardent help you face your data challenges.

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