Cloud computing is becoming more prevalent in today’s IT infrastructure environment. Before cloud computing, you needed to buy physical servers if you wanted commercial infrastructure to host your web application or database. Today, things are much different, and cloud computing makes it possible to rent rather than purchase your IT infrastructure.
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Two of the biggest providers of cloud computing services are AWS and Azure. Both providers offer comprehensive services in the form of infrastructure-on-demand, machine learning models, and distributed processing.
In today’s article, we’ll dive deep into how these two services work and what sets them apart. Finally, we’ll help you determine which cloud service best suits your specific situation, AWS or Azure. Let’s get started!
AWS vs. Azure: A Side-by-Side Comparison
AWS vs. Azure: Overview
As cloud computing becomes more popular, more businesses are switching their infrastructure to Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) models. This allows businesses to save money on IT equipment and only pay for what they need. As you can guess, the cost savings alone provide substantial encouragement for more businesses to join the cloud.
If you’re in charge of your company’s IT infrastructure, you may be considering two of the biggest cloud service providers on the planet: AWS or Azure. We’ll discuss each provider in more detail to help you better understand each one.
What is AWS?
What is Azure?
Microsoft has been in the software industry for decades. While the company has a history of being a first mover and innovator, its foray into cloud computing didn’t come until the industry had already been started. As a result, Azure did not have as much time to capture early cloud computing market share.
AWS vs. Azure: What’s the Difference?
More companies are switching to Infrastructure-as-a-Service and Platform-as-a-Service models in response to the growing popularity of cloud computing. The battle between two of the biggest cloud service providers rages on, with AWS and Azure paving the way for increased innovation. But, what are the key differences between these two IT giants?
When discussing the differences between cloud computing platforms, you should look at both the similarities and the differences. Both companies offer very similar services regarding virtual processing, object storage, and containerization. Additionally, you get similar freedom of choice regarding operating systems and relational databases.
However, the similarities stop there. You should pay attention to the fundamental differences when comparing AWS and Azure. Each one offers something unique that could benefit your business in different ways. Let’s talk about what makes AWS and Azure unique.
Computing Power Provisioning
One of the most significant differences between AWS and Azure is how they approach computing power provisioning. AWS takes a unique approach using elastic cloud computing, also called EC2. With EC2, the computing power available will shrink or grow on demand as resources are called for.
In contrast, Azure focuses on virtual machines, also known as VMs, which rely on virtual scale sets. Virtual scale sets are better at enabling scalability and load balancing. Cloud-deployment tools like Azure VMs work in conjunction with EC2, but EC2 can be customized for different uses.
Cloud Privacy and Security
Azure offers similar security and privacy benefits. In order to maintain the security and privacy of Azure data, Microsoft uses Cloud Defender. Cloud Defender is Microsoft’s own patented artificial intelligence-powered solution that offers protection against the most common threats. Although Azure services are generally secure, certain features may not be so, such as the deployment of virtual machines with all ports open if they are not configured otherwise.
Cloud Storage Options
Storage is one of the most essential aspects to consider when determining the best cloud computing platform. Both AWS and Azure offer a variety of standard features for storage configuration, but each one provides a different approach.
Another area to consider when determining which provider offers better storage options is the limitations on object size. Although both platforms provide an infinite number of objects, AWS caps object size at a strict 5TB limit. This is still better than Microsoft, which limits object size to 4.75TB in Azure.
Machine Learning Features
Artificial intelligence and machine learning are growing in popularity with each passing year due to the numerous advantages for business users. With machine learning models, businesses can adapt and grow their infrastructure using the latest technology. Both AWS and Azure offer their own solutions for machine learning.
AWS is less beginner-friendly due to the need to have sufficient data science and coding skills. However, with proper guidance and technical expertise, users can take advantage of the freedom and flexibility provided by AWS’s Sagemaker model.
In contrast, Azure is more suitable for beginners who aren’t well-versed in coding and data science. In fact, Azure’s ML Studio is intended to provide a straightforward “no code” experience. With drag-and-drop functionality, users are able to build extensive machine learning models with relatively little technical expertise.
Content Delivery Options
AWS and Azure both take a unique approach to networking and content delivery. With AWS, users can take advantage of a virtual private cloud to generate isolated private networks. Cross-premise connectivity is enhanced with the use of native APIs or application programming interfaces. This makes AWS ideal for creating private IP ranges, network gateways, and route tables.
On the other hand, Azure uses virtual networks instead of virtual private clouds. This brings a few advantages, namely that you are able to use a virtual private network (VPN) for cross-network communication.
Cloud Computing Pricing Structure
If you’re on a budget, pricing is the first thing you’ll consider when choosing a cloud computing platform. Luckily, AWS and Azure are both highly transparent in the pricing structure. However, each one has benefits and drawbacks.
AWS is typically the more cost-effective option. With an hourly pricing structure, you can purchase an instance on-demand and pay for only the necessary resources. You can also bid for extra capacity and reserve an instance for up to three years with an upfront payment.
In contrast, Azure uses a per-minute pricing structure instead of an hourly one. This means you can dial in a more precise pricing component than AWS. However, Azure instances typically get more expensive as they get larger. If your business is rapidly scaling its cloud computing infrastructure, Azure can prove to be less cost-effective than AWS.
AWS vs. Azure: 5 Must-Know Facts
- AWS offers more open-source solutions, while Azure is more closely tied to Microsoft’s closed-source platform.Both AWS and Azure allow you to run complex machine learning models.AWS and Azure are two of the largest Platform-as-a-Service (PaaS) providers.Both platforms offer highly scalable pay-as-you-go pricing models.Microsoft’s pricing structure is typically more expensive than AWS, which makes it less ideal for startups and small businesses.
AWS vs. Azure: Which One Should You Pick?
Cloud computing is here to stay, and with the growing popularity of Platform-as-a-Service and Infrastructure-as-a-Service models, more companies are turning to the cloud to save money on their IT needs. With cloud services, businesses no longer have to rely on buying physical servers and managing their own data centers.
AWS leads the pack in terms of innovation, scalability, and pricing. On the other hand, Azure offers its own set of unique data storage and security features. If your company is more familiar with the Microsoft ecosystem, Azure is the ideal solution. Additionally, Azure offers easy-to-use machine learning features and extensive storage configurations.
However, if you manage a small company or startup with a limited budget, AWS is the ideal choice. Thanks to a more scalable pricing structure, AWS allows you to grow your infrastructure at a lower cost. Additionally, AWS provides competitive machine learning models, security features, and an extensive support network.
