In cloud computing, there are three big platforms to consider. Discover some of their key differences.
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Cloud computing platforms like AWS, Azure, and Google Cloud enable people and organizations to access computer resources via the internet.
All three cloud providers, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud, lead the cloud market, accounting for a 63 percent share [1].
AWS, Azure, and Google Cloud operate in dozens of regions, each with distinct benefits.
You can explore various cloud computing jobs, including platform-specific cloud developer positions, which correlate with high growth and salaries.
Explore key differences between AWS, Azure, and Google Cloud Platform.If you're preparing for a career transition into this in-demand field, consider earning credentials from an industry leader with the Microsoft Cloud Support Professional Certificate program. This beginner-friendly course series is designed to prepare you for an entry-level role specializing in the Azure platform in as little as siz months.
According to Synergy Research Group, the most popular platform-as-a-service (PaaS) providers (cloud computing platforms) are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud, with a combined market share of 63 percent [1]. AWS is currently the largest commercial cloud computing provider, offering scalable storage, networking, server, mobile development, and cybersecurity solutions.
Microsoft Azure, its chief rival, provides some of the most scalable and efficient software solutions for enterprises, since many organizations already use Microsoft products like 365 or Power BI. Behind AWS, Azure has the largest data center network.
Google Cloud Platform (GCP) offers high-end big data analytics solutions, machine learning and artificial intelligence tools, and easy interaction with other cloud-native applications like containers and Kubernetes.
Let's review more similarities and differences in detail.
Amazon Web Services (AWS) is the biggest cloud computing platform of the three. It offers computer resources and services that can construct applications in minutes at pay-as-you-go prices. For example, you can rent a server on AWS to connect to, configure, protect, and run just like a physical server. The distinction is that the virtual server runs on top of an AWS-managed planet-scale network.
Background: AWS became public in 2006, with services like Elastic Compute Cloud (EC2) and Simple Storage Service (Amazon S3). It has an extensive user base and higher levels of trust and reliability as one of the first cloud providers.
Region: AWS is divided into 39 geographic regions and 123 availability zones.
Coursera
Expedia
Netflix
BMW
Pfizer
Adidas
Canva
Formula 1
Intuit
Airbnb
Lyft
Food and Drug Administration (FDA)
Coca Cola
Microsoft Azure is a public cloud platform that provides infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) solutions for analytics, virtual computing, storage, networking, and other services. It can enhance or replace your on-premise servers.
Background: Microsoft Azure, known initially as Azure, was established in 2010 to provide enterprises with a capable Cloud Computing platform. In 2014, Azure was renamed “Microsoft Azure,” though “Azure” is still widely used.
Region: Microsoft Azure operates in more than 70 regions, each with at least three availability zones.
Bosch
Audi
ASOS
HSBC
Starbucks
Walgreens
3M
FedEx
Walmart
HP
Mitsubishi Electric
Renault
If you're considering specializing in Microsoft Azure to start or advance your career, set aside nine hours to introduce yourself to Azure Cloud Services with Microsoft experts:
Google Cloud Platform (GCP), often just called Google Cloud, was originally App Engine. It's a cloud computing services suite established by Google in 2008. GCP offers infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) for businesses all around the world. GCP is primarily a service for developing and maintaining original applications that can then be published from its hyper-scale data centers.
Background: GCP launched in 2008 and, in less than a decade, has established a strong foothold in the cloud business. Google Cloud strengthened Google's products, including its hugely popular search engine and its video-sharing platform, YouTube.
Region: Google Cloud Platform comprises 43 cloud regions and 130 zones.
Toyota
Equifax
Nintendo
Spotify
Verizon
Mattel
The Home Depot
Meta
Target
Uber
Twitter (X)
Paypal
UPS
From compute services to pricing, here is what sets each platform apart [2, 3]:
| Features | Amazon | Microsoft Azure | Google Cloud |
|---|---|---|---|
| Age | 11 years old | 5 years old | 6 years old |
| Pricing | Per-second pricing with a 60-second minimum | Per-minute basis; some instances of per-second pricing allowed | Per-minute basis; per-second billing for VM and Linux instances |
| Compute | EC2 (Elastic Compute Cloud) provides all the computing administration. The program oversees virtual machines, which can either be designed by the owner or have pre-configured settings for convenience | With Microsoft Azure, you can create virtual machines and scale sets for virtual machines. | As part of GCP (Google Cloud Platform), GCE (Google Compute Engine) does a similar function. |
| Storage | AWS provides apportioned, transient (brief) stockpiling. As soon as an instance begins, it is demolished at the end of the case. | Azure uses ID drives (transient capacity), and Page Blobs VM-based volumes are stored in Block Storage (Microsoft's choice). Object Storage uses Square Blobs and Files. | Comparatively, Google's Cloud Platform offers both brief stockpiling and constant circles. For Object stockpiling, GCP has Google Cloud Storage. |
Compute is a term that describes how computers work. Connecting many nodes is simple for a good cloud provider. Here is a look at each platform's computational capabilities.
| SERVICE | AWS | AZURE | GCP |
|---|---|---|---|
| VM (Compute Instance) | EC2 (Elastic Compute) | Azure Virtual Machine | Google Compute Engine |
| PaaS | AWS Elastic Beanstalk | App Service | Google App Engine |
| Container | AWS Elastic Container/Kubernetes Service | Azure Kubernetes Service (AKS) | Google Kubernetes Engine |
| Serverless Functions | AWS Lambda | Azure Function | Google Cloud Functions |
For most businesses, the optimal cloud option is a combination of public and private clouds. A hybrid cloud allows you to combine one or more public clouds with existing infrastructure and a private cloud. It’s essentially a mix of environments where you can run applications, making it a popular option among organizations that have already invested a lot of money into IT infrastructure.
An organization benefits by employing a mix of computing, storage, and services environments (on-premises infrastructure, private cloud services, and a public cloud). There is explicit coordination among the various platforms in the hybrid cloud.
Amazon ECS Anywhere
AWS Snowball
AWS Snowcone
AWS Outposts
AWS Local Zones
VMware Cloud on AWS
AWS Wavelength
Amazon EKS Anywhere
Azure Arc
Azure Backup
Azure Entra ID (formerly Active Directory)
Azure Security Center
Azure Blob Storage
Azure Stack
Microsoft Sentinel (formerly Azure Sentinel)
Anthos
Traffic Director
Looker
Cloud Build
Operations
Cloud Run
All three systems provide users with competitive price plans and extra cost control features (reserved instances, budgets, and resource optimization). Several factors determine the cost of the cloud platform, including:
Customer specifications
Usage
The services utilized
The following table compares the pricing structures of AWS, Azure, and GCP based on the machine type that each provides:
| Machine Type | AWS | Azure | GCP |
|---|---|---|---|
| Smallest Instance | AWS charges roughly US$69 per month for a primary instance with two virtual CPUs and eight gigabytes of RAM. | In Azure, the same type of instance, i.e., an instance with 2 CPUs and 8 GB of RAM, will cost roughly US$70 per month. | Compared to AWS, GCP will supply you with the most basic instance, including two virtual CPUs and eight gigabytes of RAM, at a 25% lower cost. As a result, it will cost you around US$52 every month. |
| Largest Instance | The most expensive AWS instance, with 3.84 TB of RAM and 128 CPUs, will cost you roughly US$3.97/hour. | Azure's largest instance includes 3.89 TB of RAM and 128 CPUs. It costs about $6.79 per hour. | GCP leads the pack with its largest instance, 3.75 TB of RAM and 160 CPUs. It will cost you approximately US$5.32/hour. |
The three cloud providers are currently in a state of high competitiveness. All three suppliers offer essential tools and services, and are likely to extend them in the future, based on current trends and customer wants.
Artificial Intelligence and Machine learning: AWS released Gluon. This open-source deep-learning library allows developers and non-developers to build neural networks without prior knowledge of AI. DeepLens is an AI-powered camera that may create and implement machine learning algorithms for optical character recognition, image identification, and object recognition.
SageMaker to Serverless: SageMaker is another AWS service used to train and deploy machine learning models. It also includes the Lex conversational interface, enabling Alexa services, Greengrass IoT messaging, and Lambda serverless computing.
Foundry Tools (Formerly Azure Cognitive Services): AI tools like Azure Content Understanding, Azure Speech, and Azure Translator are among the cognitive services available. Microsoft offers many IoT management and analytics services and functions, and a serverless computing solution.
Supporting MSFT Software: Azure includes several solutions that support Microsoft products installed on-premises. Windows Server Backup in Windows Server 2012 R2 and Windows Server 2016 linked to Azure Backup. Visual Studio projects are hosted on Azure by Visual Studio Team Services.
IoT to Serverless: Google Cloud includes APIs for natural language, speech, translation, and other advanced technologies. It also offers IoT and serverless services. However, these are still beta versions.
Google for AI: Google Cloud is now the frontrunner in AI advancement. TensorFlow, an open-source software library for creating machine learning applications, deserves credit. Many developers love TensorFlow.
Read more: Cloud Data Security Dangers, Safeguards, and More
When deciding which cloud computing platform to use, take into account some of the following benefits and considerations.
Pros
Provides most services, from networking to robots.
Most mature
Considered the best for reliability and security
More computational capacity than Azure and GCP
Cons
All major software providers that make their applications available on AWS Dev/Enterprise support must be paid.
The sheer quantity of services and options available can be overwhelming for newbies.
There are relatively few hybrid cloud alternatives.
Pros
Integration and migration of current Microsoft services are simple.
Many options are accessible, including best-in-class AI, machine learning, and analytics services.
Most services are less expensive when compared to AWS and GCP.
There is a lot of support for hybrid cloud strategies.
Cons
Fewer service choices compared to AWS
Specifically designed for business customers
Pros
Works well with other Google services and products.
Excellent containerized workload support
Con
Limited services compared to AWS and Azure Limited support for enterprise use cases
Every business has unique demands, and each service provider responds to those needs uniquely. A software developer, a financial institution, and an e-commerce company, for example, all use cloud services differently.
They are subject to distinct regulatory compliance obligations. Meanwhile, cloud service providers may offer similar services as any other business but frequently carve out their niche that works well for prospective buyers. Understanding how AWS, Azure, and GCP fit into your firm's larger cloud strategy goals may give you an advantage.
According to the US Bureau of Labor Statistics, software developer positions are expected to rise 15 percent by 2034, far faster than the typical occupation [4]. A recession will likely slow but not stop its growth. Programmers and developers are in demand, and cloud computing skills are appealing to current and potential employers.
AWS cloud developer: $130,000 per year [5]
Azure cloud developer: $152,000 per year [6]
Google Cloud developer: $162,000 per year [7]
All salary data represents the total median salary, which combines base salary and bonuses, profit sharing, and all other forms of additional compensation.
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Amazon Web Services holds roughly 29 percent of the market share and remains the most popular vendor in the cloud infrastructure services market [1].
Who is AWS’s most significant rival? Microsoft Azure is an AWS rival for an IT department whose core skill is maintaining essential IT services like AD, DNS, and certain Apps. It's simple to integrate with current resources like Windows 10 PCs, SharePoint, .NET Apps, Teams, and Office 365.
All three offer discounts; pricing and affordability depends on your intended use. mazon is comfortably ahead of the market, but the company has slashed prices to fend off the competition.
Multi-cloud adoption allows SAP to leverage the benefits of AWS, Azure, and Google Cloud.
A cloud platform enables businesses to develop cloud-native apps, test and build them, and store, back up, and recover data. Streaming video and audio, embedding information into processes, and delivering software on demand are all business options. They can also examine data with it.
Synergy Research Group. “Cloud Market Share Trends - Big Three Together Hold 63% while Oracle and the Neoclouds Inch Higher, https://www.srgresearch.com/articles/cloud-market-share-trends-big-three-together-hold-63-while-oracle-and-the-neoclouds-inch-higher.” Accessed February 24, 2026.
Channel Insider. “AWS vs Azure vs Google Cloud: Key Features and Pricing, https://www.channelinsider.com/infrastructure/aws-vs-azure-vs-google-cloud/.” Accessed February 24, 2026.
CAST AI. “Cloud Pricing Comparison for 2025: AWS vs. Azure vs. Google Cloud Platform, https://cast.ai/blog/cloud-pricing-comparison-aws-vs-azure-vs-google-cloud-platform/.” Accessed February 24, 2026.
US Bureau of Labor Statistics. “Software Developers, Quality Assurance Analysts, and Testers: Occupational Outlook Handbook, https://www.bls.gov/ooh/computer-and-information-technology/software-developers.htm.” Accessed February 24, 2026.
Glassdoor. “How Much Does an AWS Cloud Developer Make?, https://www.glassdoor.com/Salaries/aws-cloud-developer-salary-SRCH_KO0,19.htm.” Accessed February 24, 2026.
Glassdoor. “How Much Does an Azure Cloud Developer Make?, https://www.glassdoor.com/Salaries/azure-cloud-developer-salary-SRCH_KO0,21.htm.” Accessed February 24, 2026.
Glassdoor. “How Much Does a Google Cloud Software Developer Make?, https://www.glassdoor.com/Salary/Google-Cloud-Software-Developer-Salaries-E3162960_D_KO13,31.htm.” Accessed February 24, 2026.
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