Cloud computing has redefined how businesses manage their IT operations. Among the numerous providers, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) stand out as the top 3 cloud service providers.
Organizations across industries increasingly migrate from on-site servers to cloud or multi-cloud setups to reduce operational costs, but among AWS, Azure, and Google Cloud, which one is best for you?
In this article, we will compare AWS, Azure, and Google Cloud to find the differences in their pricing, services, and features. This guide will help you choose the correct cloud service for your needs.
Furthermore, if you are interested in building a career in cloud computing, you can check out our Cloud Computing Courses for certification training with virtual labs.
As the first mover in the cloud industry, AWS leads the market with unmatched maturity and extensive services. Launched in 2006, AWS provides over 200 fully featured services across domains, making it a preferred choice for enterprises, startups, and government entities.
With a 37% annual growth rate, AWS generates significant revenue, constituting 54% of Amazon's total operating income in 2023.
Key Clients: Expedia, Netflix, Coca-Cola, Formula 1, Airbnb, Lyft, FDA.
● Ease of Use
● Incredibly Diverse Array of Tools
● Unlimited Server Capacity
● Reliable Encryption & Security
● Managed IT Services Are Available
● AWS Offers Flexibility & Affordability
● Complexity in pricing
● Amazon’s EC2 Limits
● High cost
Read More About AWS Cloud Basics
Check out popular AWS Certification Courses:
Launched in 2010, Microsoft Azure is the second-largest cloud provider, rapidly gaining traction with a 46% annual growth rate. Azure’s seamless integration with Microsoft services makes it the ideal choice for enterprises already invested in the Microsoft ecosystem.
With 95% of Fortune 500 companies using Azure, its extensive AI, ML, and analytics offerings have made it indispensable for modern businesses.
Key Clients: Starbucks, NHS, HSBC, Renault, CDC.
● Improved data security,
● Scalability
● Simple disaster and recovery services
● Stronger analytics
● Integration compatibility
● Compliance-oriented frameworks that adhere to major regulations
● Complexity
● Problem in data transfer
● Lack of support
● Complicated pricing
Read More About Microsoft Azure and Microsoft Azure Certifications
Check out popular Microsoft Azure Courses:
Despite being the smallest of the three, GCP is growing at a remarkable 54% annual rate. Known for its exceptional containerized workload support and global fiber network, GCP excels in innovation and open-source integration.
Key Clients: Spotify, Toyota, Target, UPS, Nintendo.
● Wide Range of Services
● Global Reach
● Security
● Innovative Features
● Limited Support
● Security Concerns
● Complex pricing
Read More about the Google Cloud Platform features
The table below shows a general comparison of three cloud providers:
Area of difference | AWS | Microsoft Azure | GCP |
---|---|---|---|
CAF(Cloud Adoption Infrastructure) | AWS CAF groups its capabilities in six perspectives: Business, People, Governance, Platform, Security, and Operations | Azure CAF includes phases like Get started, strategy, plan, ready migrate, innovate, secure manage (operate), and govern. | Four Themes for a successful cloud adoption are lead, learn, scale, and secure |
Availability zone | AWS GovCloud (US) Regions contain three Availability Zones with multiple, geographically distributed data centers for high availability. This design, with isolated yet low-latency Availability Zones, protects applications against disruptions like outages and natural disasters | An Availability Zone is a physically separate zone within an Azure region. There are three Availability Zones per supported Azure region. | Google's GCP has its cloud infrastructure set up in 40 different Regions, with 121 zones and 187 network edge locations. |
Market share | Amazon Web Services (AWS) maintains the highest market share at 32% | Microsoft Azure comes next with 23% | Google Cloud follows suit with 10 % |
Virtualization and Managing Connectivity | It has Elastic Compute Cloud (EC2) instances, which are virtual servers running on shared physical hardware | Centrally manage virtual networks in Azure from a single pane of glass with the help of Azure Virtual Network | Google Virtual NIC (gVNIC) is a virtual network interface designed specifically for Compute Engine |
Virtualizing and Managing Storage | Fully managed, cost-effective file storage offering the capabilities and performance of popular commercial and open-source file systems, called AWS storage services | Azure Table Storage can be used to manage customer data in the cloud or for applications that don't have any complexities | Google Cloud Persistent Disk(Block Storage), Google Cloud Filestore(Network File storage), Google Cloud Storage (Object Storage), Google Cloud Storage for Firebase, Google Cloud Storage Transfer Service |
Virtualizing and Managing Compute | AWS offers the broadest and deepest functionality for compute. Amazon Elastic Compute Cloud (EC2) offers granular control for managing your infrastructure, AWS container services offer the best choice and flexibility of services to run your containers | Azure Virtual Machines, Azure App Service, Azure Functions, Azure Kubernetes Service (AKS), Azure Container Apps, Azure Container Instances, Azure Red Hat OpenShift, Azure Spring Apps, Azure Service Fabric, Azure Batch, etc | Google Cloud console, the Google Cloud CLI, or the Compute Engine API. The terms Compute Engine instance, virtual machine instance, VM instance, and VM are synonymous. They are used interchangeably in the Google Cloud console, the gcloud command-line tool, and the REST |
Creating Interoperability | Amazon Web Services (AWS) offers AWS AppFabric to support your interoperability requirements. | Azure networking services interoperate at the control plane level and data plane level | The Cloud Storage XML API is interoperable with some tools and libraries that work with services such as Amazon Simple Storage Service (Amazon S3) |
Managing Data in Multi-Cloud | Overseeing your cloud services across vendor platforms using a unified solution called Azure Arc | You can extend the AWS cloud operations experience across hybrid and other cloud environments for secure and seamless management, compliance, and observability. AWS Hybrid Cloud Solutions enable you to deliver a consistent AWS experience wherever you need it—from the cloud, to on-premises, and at the edge | Anthos, Google Cloud’s fully managed multicloud solution, allows you to view what's happening across your entire online landscape from one platform |
Now we will compare the three cloud service providers on different services and understand which platform is better for a particular service.
Here's a comparison of some of the databases and Storage offered by AWS, Azure, and GCP:
Feature | AWS | Azure | GCP |
Virtual Machines | EC2 | Virtual Machines | Compute Engine |
Serverless Computing | Lambda | Functions | Functions |
Container Orchestration | ECS, EKS | AKS | GKE |
Batch Processing | Batch | Batch AI | Dataproc |
Feature | AWS | Azure | GCP |
Relational Databases | RDS (MySQL, PostgreSQL, SQL Server, Oracle) | SQL Database, Cosmos DB | Cloud SQL (MySQL, PostgreSQL) |
NoSQL Databases | DynamoDB, Cassandra, DocumentDB | Cosmos DB | Cloud Firestore, Bigtable |
Object Storage | S3 | Blob Storage | Cloud Storage |
Block Storage | EBS | Disk Storage | Persistent Disk |
Data Warehouse | Redshift | Synapse Analytics | BigQuery |
Here's a comparison of some of the specialized services offered by AWS, Azure, and GCP:
Feature | AWS | Azure | GCP |
---|---|---|---|
Machine Learning Platform | SageMaker | Machine Learning Studio | AI Platform |
Computer Vision | Rekognition | Computer Vision | Vision AI |
Natural Language Processing | Comprehend | Text Analytics | Natural Language API |
Speech Recognition | Transcribe | Speech Service | Speech-to-Text |
When selecting a cloud provider between GCP, Azure, and AWS for your business, it’s important to carefully evaluate various factors that can impact performance, cost, and long-term success.
Below are some key aspects to consider when choosing between Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP):
AWS is the most established and widely adopted cloud platform with a strong market share and a vast array of services.
Azure is growing rapidly, especially among enterprises using Microsoft technologies, and it is particularly strong in hybrid cloud environments.
GCP is the smallest of the big three but is quickly gaining popularity, particularly for its strengths in machine learning and big data.
AWS has the largest geographic footprint with 33 regions and 105 availability zones.
Azure operates in 64 regions and is expanding quickly, with 126 availability zones.
GCP covers 40 regions and is continually expanding, particularly in Europe and Asia.
AWS tends to be higher in pricing but offers flexibility with a wide range of pricing options and services.
Azure is often considered more cost-effective for Microsoft-centric enterprises and for hybrid cloud setups.
GCP offers competitive pricing, particularly in containerized and open-source solutions.
AWS provides the most extensive range of services across compute, storage, networking, security, and machine learning.
Azure is ideal for enterprises using Microsoft tools (e.g., Windows Server, Active Directory) and offers strong AI, machine learning, and analytics services.
GCP is a leader in big data, machine learning, and AI, and integrates well with Google’s popular tools like TensorFlow and BigQuery.
AWS offers a comprehensive range of security and compliance certifications, making it suitable for industries requiring strict data protection.
Azure provides advanced identity and governance tools, especially for organizations using Windows-based environments.
GCP has strong security features but doesn’t yet have the same breadth of compliance offerings as AWS or Azure.
All three of these cloud platforms not only provide cloud services, but they also help students start their careers in cloud computing. AWS, Azure, and Google Cloud have free and paid learning portals where they train students in cloud computing and their products:
● AWS Skill Builder
● Microsoft Learn (Azure)
● Google Cloud Skills Boost
These cloud platforms also offer various certifications and career paths for students to start their professional journey in cloud computing. Some popular certifications and average salaries from each platform are:
● AWS Certified Solutions Architect: $150,000–$200,000/year
● Microsoft Certified: Azure Administrator Associate: $110,000–$135,000/year
● Google Associate Cloud Engineer: $135,000/year
Things to consider before choosing a cloud platform for your career:
● AWS: Largest market share, extensive certification ecosystem, strong enterprise adoption.
● Azure: Deep integration with Microsoft products, popular in government and enterprise sectors.
● GCP: Strong in data analytics, AI/ML, and academic research.
While AWS currently leads the market in both capacity and service offerings, Microsoft and Google are rapidly closing the gap, each working to challenge AWS's dominance. To compete, both companies are expanding their infrastructure, introducing innovative services, and enhancing their pricing and package options.
Microsoft is targeting the enterprise market to compete directly with AWS, offering solutions tailored to large organizations. Meanwhile, Google is carving out a niche by integrating various open-source projects and third-party services, providing unique value.
Which cloud provider is best for your business? When comparing Azure, AWS, and GCP, the right choice depends on your company’s specific needs. In today’s fast-evolving cloud landscape, many businesses are adopting multi-cloud strategies to leverage the strengths of each provider without being tied to just one.
He is a senior solution network architect and currently working with one of the largest financial company. He has an impressive academic and training background. He has completed his B.Tech and MBA, which makes him both technically and managerial proficient. He has also completed more than 450 online and offline training courses, both in India and ...
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