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Home/Blog/Cloud Computing/Azure vs AWS: Which is the best pick for cloud computing?

Azure vs AWS: Which is the best pick for cloud computing?

Aisha Noor
Dec 01, 2023
6 min read
content
What is AWS?
What is Azure?
What are the key differences between AWS and Azure?
Computation power of AWS and Azure
AWS storage vs Azure storage
AWS vs. Azure networking
Azure security vs. AWS security
AWS vs. Azure pricing
AWS vs Azure database
AWS machine learning vs Azure machine learning
Should I learn AWS or Azure?
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In the rapidly evolving realm of cloud computing, the spotlight is on the "cloud war" between Amazon Web Services (AWS) and Microsoft Azure. This forces new learners and established organizations to make crucial decisions. AWS offers a robust infrastructure-as-a-service (IaaS) and a diverse toolkit; Azure excels with its powerful Platform-as-a-Service (PaaS) and seamless Windows integration.

 

Both platforms earn praise for their compute power, scalability, and security, and they're near equals in most use cases. So, the choice is more of a strategic business decision than a technological one. Are you an individual diving into cloud computing or a company assessing your needs? Read this blog to understand the nuances of AWS and Azure. We'll help you simplify the choice through insights into their respective core services, pricing, and built-in analytics tools. You can then determine the best pick for your cloud computing needs.

What is AWS?

Amazon Web Services (AWS) is an extensive cloud computing platform from Amazon. It offers over 200 services globally. Widely used by startups, large corporations, and government agencies, AWS helps save costs, increase agility, and drive innovation. It includes various services like the following: 

  • Platform as a Service (PaaS)

  • Infrastructure as a Service (IaaS)

  • Software as a Service (SaaS)

AWS stands out for its vast array of services, from essential computing, storage, and databases to advanced technologies like machine learning and data analytics. This versatility makes it easier and more cost-effective to migrate apps to the cloud and develop new solutions. This enhances the flexibility and scalability of the cloud environment.

What is Azure?

Azure, developed by Microsoft, serves a broad spectrum of needs, from cloud computing to networking. It offers three key services: Platform as a Service (PaaS), Software as a Service (SaaS), and Infrastructure as a Service (IaaS). This setup enables developers to manage and deploy cloud-based applications effectively. Azure stands out for its heavy investment in security and research, boasting the most extensive compliance offerings in the cloud service market. Essentially, it's a robust platform that lets businesses scale up, with the added benefit of integrating smoothly with Microsoft's ecosystem, making it a reliable choice for various organizational requirements.

What are the key differences between AWS and Azure?

AWS and Azure, while both offering basic cloud services, nevertheless have distinct features. AWS, with a larger market share, boasts extensive experience and a wide range of services, such as advanced computing, machine learning, and more. It's also known for its rapid deployment, serving over a million customers. Rapidly growing each month with new customers, Azure excels in integrating with Microsoft's tools and services, making it a strong contender for organizations already using Microsoft products. While AWS leads in the size and breadth of its services, Azure's integration and growth in start-ups demonstrates its emerging strength in the cloud market.

Computation power of AWS and Azure

In the cloud computing arena, AWS and Azure both offer robust computational power, which is crucial for rapid data analysis and processing. AWS’s primary compute service, EC2, provides on-demand flexible computing, complemented by additional tools like AWS Lambda and Autoscaling. Azure's computation relies on versatile virtual machines, with tools like Cloud Services enhancing deployment. Both platforms offer scalable VMs tailored to specific needs, but their terminologies and certain features differ. AWS leads with a broader range of services, while Azure integrates smoothly with Microsoft's ecosystem. The choice depends on specific requirements and existing infrastructure preferences.

Feature

Amazon AWS

Microsoft Azure

Primary Compute Service

EC2 Instances

Virtual Machines

Container Services

EC2 Container Service

Azure Container Registry

Autoscaling

AutoScaling

VM Scale Sets, Autoscaling

PaaS

Elastic Beanstalk

Cloud Services

Backend Processing

AWS Lambda

Event Grid, Web Jobs, Functions

VM Templates

AWS Cloud Formation

Azure Resource Manager

Supported VM Import Formats

RAW, OVA, VMDK, VHD

VHD

Deployment Locality

Zonal

Regional

Preemptible VMs

Yes

Yes

AWS storage vs Azure storage

In cloud storage, both AWS and Azure excel with reliable and scalable solutions. AWS's storage, which is more established, includes the Simple Storage Service (S3) with high availability and automated replication. Azure's Blob storage offers both hot and cool options, balancing cost and access needs. AWS provides block storage similar to hard drives for EC2 instances, while Azure's equivalent is linked to VMs. Both platforms offer unlimited object storage with slightly different size limits. Azure integrates well with Microsoft tools, while AWS boasts a broader service range. The choice hinges on specific storage needs and existing infrastructure compatibility.

Feature

Amazon AWS

Microsoft Azure

Service Name for Object Storage

S3

Azure Storage-Blobs

Hot Storage Option

S3 Standard

Hot Blob Storage

Cool Storage Option

S3 Standard- Infrequent Access

Cool Blob Storage

Cold Storage Option

Amazon Glacier

Archive Blob Storage

Object Size Limit

5 TB

4.75 TB

Volume Types

Cold HDD, General Purpose SSD, PIOPs SSD, Throughput Optimized HDD

Standard, Premium SSD

Availability SLA

99.9%

99.9%

IOPs/GB for SSD

GP SSD -3, PIOPS SSD up to 50/GB

1.8 to 4.9 (fixed based on disk type)

AWS vs. Azure networking

  • AWS's Elastic Load Balancing and Azure's Load Balancer manage traffic distribution across VM instances.

  • AWS offers Direct Connect for private connectivity to its network, while Azure uses ExpressRoute for similar purposes.

  • Content delivery networks: AWS's CloudFront and Azure's CDN enhance user experience by distributing content locally.

  • DNS services: AWS Route 53 offers additional features like geography-based routing, while Azure DNS supports most DNS record types.

  • Latency: AWS generally has lower network latency, which can vary based on geographical proximity to data centers.

Azure security vs. AWS security

AWS and Azure both offer strong security for cloud services, emphasizing encryption, firewalls, and identity access management. They invest heavily in cybersecurity, ensuring compliance with various standards and providing tools like AWS Key Management Service and Azure Key Vault. Both platforms follow a shared responsibility model, clearly defining security roles between the provider and the user.

AWS vs. Azure pricing

Comparing the pricing of Azure and AWS is a nuanced process. Azure offers minute-based billing, ideal for short-term, fluctuating needs, while AWS's hour-based pricing suits longer, consistent usage. Ultimately, the best choice for you depends on your specific usage patterns and cost optimization strategies, making it essential to analyze both services thoroughly.

AWS vs Azure database

  • Database variety: AWS offers a broader range of database engines like MariaDB, Aurora, MySQL, SQL Server, PostgreSQL, and Oracle. In contrast, Azure focuses mainly on SQL Server.

  • NoSQL solutions: Both provide NoSQL services, but AWS's DynamoDB is known for high performance and scalability, while Azure's Cosmos DB excels in global distribution and multiple data models.

  • Integration:  AWS databases fit well within its extensive cloud service range. Meanwhile, Azure databases integrate seamlessly with other Microsoft services. This makes it a go-to for those already in the Microsoft ecosystem.

  • Use cases: AWS is often preferred for data warehousing due to Amazon Redshift. Azure's strength lies in its enterprise-level SQL database solutions.

AWS machine learning vs Azure machine learning

AWS and Azure revolutionize machine learning model development with SageMaker and Machine Learning Studio, respectively. While both web services streamline the entire pipeline, their approaches differ. SageMaker is code-centric, demanding deeper coding and data engineering skills. In contrast, Azure's user-friendly Studio offers a drag-and-drop interface, simplifying the process without extensive Python or library knowledge.

Should I learn AWS or Azure?

If you’re a learner, you may be wondering: which is better — Azure or AWS? The answer depends on your goals and background. In this case, it's important to consider the following:

  • Your current skill set: If you're already familiar with Microsoft products, Azure will be more intuitive. It integrates seamlessly with Microsoft's ecosystem, making it user-friendly for those accustomed to Windows environments.

  • AWS vs Azure job opportunities: AWS's market dominance offers a broad spectrum of cloud engineer jobs across various industries. Azure, while also in high demand, is particularly valued in enterprises using Microsoft tools.

  • Complexity and learning curve: AWS provides extensive services and customization, ideal for those seeking depth and flexibility in cloud solutions. However, it has a steeper learning curve. Azure, on the other hand, is more straightforward, especially for Windows administrators.

  • Long-term goals: Consider the long-term industry trends. AWS leads in market share and services offered. Azure is rapidly growing, especially in hybrid cloud and AI integration.

Remember that learning by doing is the greatest way to learn. Try some AWS and Azure projects. Our 'Networking and Security on the AWS' project takes only one hour, and you will learn to apply multiple AWS CLI commands. Are you more inclined towards Azure? You can try the one-hour 'Deploy a Flask Application Using Azure CLI' project.