In This Blog:

  1. Comparing Cloud Giants
  2. Computation Power
  3. Storage
  4. Database
  5. Content Delivery and Networking 
  6. Machine Learning
  7. Ecosystem
  8. Price Comparison
  9. Cloud Adoption
  10. Recommendation
  11. Conclusion
  12. Frequently Asked Questions

Comparing Cloud Giants

Azure and AWS are two of the market’s leading cloud service providers. If you’re a decision-maker for your organization’s cloud solutions, chances are you’ve considered the differences between these two main players. Alternatively, maybe you’re currently in the process of choosing a cloud provider. If that’s the case, Emergent Software is here to help! 

While both Azure and AWS offer robust ecosystems, Azure stands out with its deep integration with Microsoft's widely-used enterprise software and development tools. This makes Azure the natural fit for companies already leveraging Microsoft technologies. Azure has also shown impressive growth in cloud adoption, with many enterprises choosing it as their trusted cloud platform. 

For a quick, high-level comparison of the two, check out this table:  

FEATURE  Azure  AWS

Computation Power 

Virtual Machines (VMs)  Elastic Compute Cloud (EC2) 

Storage 

Azure Blob Storage

Simple Storage Service (S3)
Database  Azure SQL Database  Amazon RDS 

Managed Data Warehouse 

 SQL Warehouse  Redshift

Kubernetes Management 

Kubernetes Services  EKS

Object Storage 

Block Blob  S3

File Storage 

Azure Files EFS 

Content Delivery & Networking 

Azure Virtual Network (VNet)  Amazon VPC

Machine Learning 

Azure Machine Learning Studio Amazon SageMaker 

Global Content Delivery 

Delivery Network  CloudFront

Frontend Hosting 

Azure Blob Storage Amazon S3 

Backend Hosting 

Azure Virtual Machines  Amazon EC2 

Database 

 Azure Database for PostgreSQL Amazon RDS 

Load Balancing 

Azure Load Balancer   Application Load Balancer

Container Service 

Azure Container Instances Amazon ECS 

DevOps - CI/CD 

Azure Pipelines  AWS CodePipeline 

Monitoring 

Azure Monitor  Amazon CloudWatch 

This article provides a high-level comparison between these cloud giants, focusing on their ecosystems, cloud adoption patterns, and recommendations for choosing between them. By the end, we'll equip you with all the considerations you should keep in mind when choosing the better option for businesses seeking a reliable, feature-rich, and future-ready cloud solution. 

Read also: Comparing the Major Cloud Platforms: AWS vs Azure vs Google Cloud 

Computation Power 

One of the more important factors to consider when reviewing Cloud Providers is Computation Power.  It dictates how well a device can perform tasks, process data, and manage workloads across the cloud. Efficient, scalable computation power is essential for running applications smoothly and meeting dynamic workload demands. 

Azure  AWS 

Virtual Machines (VMs) offer scalable compute resources 

Elastic Compute Cloud (EC2) provides resizable compute capacity 

Storage 

Storage solutions in your cloud environments need to be secure, scalable, and flexible to manage robust data. 

Azure  AWS 

Azure Blob Storage for unstructured data 

Simple Storage Service (S3) for object storage 

Database 

Databases are the backbone of many applications, which makes selecting a provider with a strong, scalable, and reliable database service crucial. 

Azure  AWS 

Azure SQL Database for managed relational databases 

Amazon Relational Database Service (RDS) for managed databases 

Content Delivery and Networking Connectivity

Content delivery and network connectivity ensure that workloads and applications are accessible with minimal latency and optimal security.   

Azure  AWS 

Azure Virtual Network (VNet) for private cloud environment 

Amazon Virtual Private Cloud (VPC) for isolated cloud resources 

 

 

Machine Learning 

Machine learning capabilities are increasingly valuable for organizations aiming to leverage data for predictive insights, automation, and innovation. 

Azure  AWS 

Azure Machine Learning Studio for creating ML models 

Amazon SageMaker for building and deploying ML models 

Ecosystem

Azure 

Microsoft Azure excels in its tight integration with the Microsoft product ecosystem. If your organization relies on Microsoft products such as Windows Server, SQL Server, Office 365, Active Directory, or Dynamics 365, Azure provides a seamless and unified platform. The deep integration between Azure and Microsoft's offerings makes it an attractive option for companies that prioritize a cohesive and interconnected environment. Additionally, Azure's strength lies in its hybrid cloud solutions, allowing organizations to bridge the gap between on-premises infrastructure and the cloud. 

AWS 

Amazon Web Services (AWS) follows a modular approach when it comes to its services. This design philosophy allows users to select and integrate services and may be helpful if you require a wide range of customizable services. The flexibility and extensibility of AWS make it a popular choice for organizations looking for a highly adaptable cloud platform. 

AWS vs Azure Price Comparison - Full Stack App  

Cloud pricing models can significantly impact long-term budgets, making it essential to select a provider with transparent and manageable costs. Both Azure and AWS use a pay-as-you-go model based on resource usage. Here’s a more in-depth look at what that might look like: 

Component  Azure  AWS

Frontend Hosting

Azure Blob Storage 

$0.0184 per GiB storage, $0.004 per 10,000 read operations

Amazon S3 

$0.023 per GiB storage, $0.0004 per 10,000 GET requests 

Backend Hosting

Azure Virtual Machines 

A1 v2 instance (1 vCPU, 2GiB RAM): $0.018 per hour

Amazon EC2 

t2.small instance (1 vCPU, 2GiB RAM): $0.023 per hour

Database

Azure Database for PostgreSQL 

B1ms (1 vCore, 2 GiB RAM): $0.017 per hour

db.t3.small instance (2 vCPU, 2GiB RAM):

$0.034 per hour 

Load Balancing

Azure Load Balancer 

$0.005 per GiB processed

Application Load Balancer 

$0.0225 per Application Load Balancer-hour, $0.008 per LCU-hour 

Container Service

Azure Container Instances 

$0.0000099 per GiB per second

Amazon ECS 

$0.00000925 per GiB per hour  

DevOps - CI/CD

Azure Pipelines 

Free for 1,800 minutes per month, $0.016 per minute after free tier

AWS CodePipeline 

$1.00 per active pipeline per month 

Monitoring

Azure Monitor 

$0.10 per GiB ingested, first 5 GiB free per month 

 Amazon CloudWatch 

$0.30 per metric per month, first 10 metrics free 

These prices are based on on-demand, pay-as-you-go pricing in the US East (N. Virginia) region for AWS and East US region for Azure. For more information, please see Azure pricing calculator and AWS pricing calculator. Actual prices may vary based on usage, region, and pricing changes. Both AWS and Azure offer reserved instances and other discounts for long-term commitments or high-volume usage which can significantly reduce costs. 

Cloud Adoption 

Companies using Azure often focus on utilizing the cloud as a landing zone for migrating their existing on-premises data centers. They may not fully embrace cloud-native technologies and instead opt for a hybrid approach. Azure's "hybrid benefit" allows customers to use their existing on-premises licenses to obtain significant discounts on Azure's IaaS (Infrastructure as a Service) and PaaS SQL Server offerings, making it an attractive option for organizations with substantial investments in Microsoft technologies. 

When it comes to cloud adoption patterns, companies using AWS tend to be more proactive in fully embracing PaaS (Platform as a Service) and serverless cloud solutions. They are more likely to leverage the advanced capabilities of the cloud and adopt cloud-native architectures. 

Recommendation 

When deciding between AWS and Azure, it is crucial to consider your organization's preferred tools and services. For enterprises with significant existing investments in Microsoft technologies, Azure is often the clear choice. Its tight integration with the Microsoft ecosystem allows organizations to leverage their existing skills and infrastructure. 

Azure has established itself as a leader in serving enterprise customers, with a proven track record of handling mission-critical workloads across diverse industries. Its comprehensive suite of services and commitment to enterprise needs make it a top pick for many organizations. 

It's worth noting that once applications are transitioned to the cloud, the cost differences between cloud providers typically become minimal. The post-transition costs are often negligible, making provider selection a choice driven by strategic fit more than price. 

Conclusion 

Ultimately, the choice of cloud provider is driven by how well it aligns with your organization's existing investments, skills, and strategic priorities. For the many enterprises that are Microsoft-centric and looking to incrementally extend their on-premises footprint to the cloud, Azure emerges as the natural and often superior choice. 

Its deep integration with Microsoft tools, strong enterprise focus, and robust service offerings make Azure a compelling option that can accelerate cloud adoption while maximizing the value of existing investments. However, every organization has unique needs, and the "best" cloud is the one that fits those needs most closely. 

For more information and personalized guidance on choosing the right cloud provider for your organization, please contact us today. Our expert team provides tailored solutions to optimize your technology infrastructure, enhance productivity, and drive growth. 

Frequently Asked Questions 

Which is better: Azure or AWS? 

Choosing between Azure and AWS depends on various factors, and there is no one-size-fits-all answer. The best cloud provider for your organization will depend on your specific needs, existing investments, and strategic priorities.   

Consider the following when making your decision:   

  1. Existing infrastructure: If you already have significant investments in Microsoft technologies, such as Windows Server or .NET, Azure might be a more natural fit. On the other hand, if you primarily use open-source technologies, AWS could be the better choice.
  2. Specific services: While both providers offer a wide range of services, there may be differences in the depth and maturity of specific offerings. Evaluate which provider has the most robust solutions for your particular use cases, such as machine learning, IoT, or serverless computing.
  3. Pricing and cost optimization: Compare the pricing models and discounts offered by each provider. Consider factors such as instance types, data transfer costs, and pricing for specific services you plan to use. Tools like the AWS Pricing Calculator and Azure Pricing Calculator can help estimate costs.
  4. Geographic availability: Assess each provider's data center locations and the latency to your target users. Choose the provider with the best geographic coverage for your needs.

Is Azure going to overtake AWS? 

Azure has been experiencing impressive growth in recent years as more companies adopt Microsoft's cloud computing platform. While AWS currently holds the largest market share, Azure is quickly closing the gap. 

Although overtaking AWS in the immediate future seems unlikely, Azure's rapid rise suggests it could potentially challenge AWS's dominance in the coming years. As Microsoft continues to invest heavily in Azure's capabilities and cloud infrastructure, it is well-positioned to continue gaining ground on its biggest competitor. 

Ultimately, the cloud computing market is dynamic and constantly evolving. While AWS remains the leader for now, Azure's swift ascent indicates that the future of cloud supremacy is far from decided. 

Is Azure certification more difficult than AWS? 

The difficulty of Azure and AWS certifications depends on your experience and familiarity with each platform. AWS focuses more on cloud architecture, while Azure emphasizes integration with Microsoft products. Both require significant study and hands-on practice to pass.

Which cloud platform is best? 

The best cloud platform depends on your needs. AWS offers broad services and scalability, Azure integrates well with Microsoft tools, and Google Cloud excels in AI and data analytics. Compare pricing, features, and compatibility to find the best fit.