AWS vs Azure vs GCP: A Comprehensive Comparison of Cloud Service Providers

Shirley Stark
March 13, 2025

Over 90% of the organization uses cloud services. The global cloud computing market has been flagged to reach an estimated total of $ 2.3 trillion at a CGAR rate of 21.2% by 2030. Interestingly, according to Statistica, Amazon Web Services leads the cloud infrastructure market share at 31%, followed by Microsoft Azure at 20%, and Google Cloud Platform (GCP) at 11%. The three big stalwarts (AWS, AZURE, and GCP) have taken over 60% of the market share in the cloud industry by upgrading businesses with their cutting-edge cloud services.

Through our aws vs azure vs gcp infographics, we aim to evaluate the services offered by these leading cloud service providers. But before we begin…

What are the differences between AWS vs Azure vs Google Cloud?

AWS, Azure, and GCP are the spearheads that have remodeled the outlook of the cloud infrastructure industry. But how do the gcp vs aws vs azure services differ from each other? Is it based on features? We’ll find out through the introduction of…

What is Amazon Web Services?

Amazon Web Services (AWS) has become the most sought-after cloud computing solution that provides on-demand cloud computing platforms and APIs to organizations at a competitive price plan. Launched in 2006, AWS supports start-ups, government agencies, and enterprises to expand their business storage performance abilities.

Amazon Web Services has you covered from storage to databases, networking to machine learning, and more.
A broad network of a global infrastructure for the scalability of your organization.
Market competitive Pay-as-you-go pricing model for cost-efficient productivity.
AWS is flexible in operating with the public and the hybrid cloud setup.
Top clients of AWS include Airbnb, Coca-Cola, Netflix, Formula 1, Lyft, and more.

What is Microsoft Azure?

Microsoft Azure, earlier known as Windows Azure, is a flexible cloud computing platform that supports organizations in creating, running, and scaling their applications with their computing storage, analytics, AI, networking, and other services.

Microsoft Azure focuses mainly on implementing a hybrid cloud model.
Easy to use in Microsoft ecosystem integration with other products for better accessibility and performance.
Seamless cloud migration and modernization.
Implementation of Azure AI for creating speech, decision-making, and language models.
Standard security features offer advanced threat protections.
Flexible scalability of the application developed under cloud infrastructure.
Wide variety of pricing models, including pay-as-you-go, Azure Reservations, Azure Savings plans, and more.
Top clients of Azure include HSBC, Walmart, 3M, Audi, Starbucks, FedEx, and more.

What is Google Cloud Computing?

Google Cloud Platform (GCP) is a cloud computing services suite that provides services such as data storage, machine learning, AI, computing, and networking. It also provides personalized virtual machine infrastructure as per the business requirement.

GCP is developed using open architecture and focuses on multi-cloud and hybrid cloud models.
GCP provides extended high-performance global networking connectivity infrastructure.
Robust data analytics features for running calculative SQL queries and business intelligence.
GCP’s network optimization ensures faster data transfer within the cloud ecosystem.
Range of pricing models like pay-as-you-go, committed use discounts, and others to support different businesses as per their needs.
Top clients of GCP include Toyota, PayPal, Spotify, X, Target, and so on.

How To Choose The Best Cloud Service Between AWS Vs Azure Vs GCP

The cloud industry is currently undergoing constant technological advancement. The rampant growth and demand for efficient cloud services have led to cut-throat competition between the three tech giants: Amazon Web Services, Microsoft Azure, and Google Cloud Computing. This has created confusion due to multiple options that can or won’t work for your organization. Ideally, organizations are implementing a multicloud approach to make the right selection. 92% of organizations use a multicloud approach, combining different public and private cloud service providers.

So, how do you select the best cloud service available in the market? Let us walk you through the major critical aspects of our aws vs azure vs gcp comparison infographic so you can select the best cloud service suitable for your organization:

1. Region Coverage and Networkability

Business before selecting a cloud service, checking for regional availability is an emphasized need. It can simultaneously influence your cloud experience with critical aspects such as data transfer, compliance requirements, and more.

AWS has a solid coverage of 36 geographic regions along with 114 availability zones for its users.
Microsoft Azure has the maximum region coverage of 60+ alongside 185 global network PoPs to expand their global infrastructure in the market.
GCP has also progressively extended its networkability on a global scale to touch 41 cloud regions with over 121 zones across the globe.

Conclusion: Both AWS and Microsoft Azure are the best picks based on the given criteria.

2. Price Plan

Cloud computing pricing is another astonishing aspect that companies have to consider before investing in any of these service providers. AWS, Azure, and GCP all offer pay-as-you-go plans to their clients.

Here are some of the interesting insights:

AWS offers small instance (Basic Compute) – t2.nano at a monthly estimation of $4.75/month and large instance (high-performing vCPUs) – u-12tb1.112xlarge at $109/hour.
Azure functions on similar offerings by providing AWS with high-end virtual machines.
GCP basic plans are optimal for organizations with minor workloads. The high-end computing services vary according to competitive price standards.

AWS has a broad catalog of services to offer, which is cost-intensive. Azure can be the ideal choice for organizations if they are existing users of Microsoft products and tools. GCP offers the most affordable AI, data analytics, and other cloud computing services. Organizations can make a choice based on their budget and service requirements.

3. Range of Core Features

The infographics table highlights the core features that AWS, Azure, and GCP possess. AWS has appeared unique, with a vast range of quality services covering almost every cloud niche. This includes the foundational EC2 for commuting and S3 for storage to other specialized cloud services for industries such as supply chain, analytics, IoT, machine learning, and many more!

It also has wide network distribution and data centers present in global regions, which ensure seamless functioning, fault tolerance, and networkability of its services. The overall outcome of the core service comparison is that AWS stands high as an all-rounder compared to Azure and GCP.

4. Better Connectivity and Cloud Service Implementation

In the connectivity and implementation aspect, Azure has the edge over AWS and GCP due to its comprehensiveness with the Microsoft ecosystem. Azure is highly compatible with other Microsoft services and tools. This makes it efficient for the organization to switch to a hybrid cloud ecosystem for better business operations and productivity.

Both AWS and GCP are no less, as they are easy to set up and implement based on their specific services that align with your business needs. With high global connectivity, AWS can optimally set its global applications. On the other hand, GCP’s expertise in machine learning and data analytics can be ideal for projects that focus on those areas.

5. Functioning Of AI and ML Applications

Google Cloud takes the crown in artificial intelligence and machine learning as a cloud service provider. GCP’s Vertex AI makes a real difference in its seamless usability and functional approach. It’s compatible with other AI and ML tools from Google, making it an ideal choice for data scientists and professionals using advanced AI technology at a cost-effective price range. AWS and Azure also specialize in this niche, but they are not as effective as GCP overall.

6. Cloud Security and Regulatory Compliance

AWS has unmatchable compliance options, including GDPR, HIPAA, and SOC2, which have become an ideal choice for start-ups and other businesses. The IAM (Identity and Access Management) safeguards sensitive data with standard security controls.

GCP also utilizes its global network encryption features for cloud data protection. Moreover, it adheres to compliance standards, and with its built-in data encryption, it becomes an ideal choice for organizations.

Azure aligns with regulatory compliance for enterprises as it supports corporations with GDPR AND HIPPA compliance while providing streaming connectivity with existing Microsoft services.

Overall, if your organization strictly adheres to regulatory compliance, then AWS and Azure can be your top choice. GCP’s phenomenal data encryption service can be the best choice for businesses that seek surface-level security configurations.

Wrapping Up

Selecting aws vs azure vs gcp is challenging as they are the best in-line cloud service providers with their unique specialization in cloud services. AWS excels in providing a range of services with robust compliance and networkability. Azure becomes the best choice for businesses that are indulging in using Microsoft products for seamless hybrid cloud compatibility. Lastly, GCP is the ideal cost-effective choice for establishments that are aiming to utilize cloud services on a small scale, majorly for data analytics, Machine Learning, and AI.

An ideal choice for companies is to filter out their needs based on the requirements and opt for a multicloud approach based on their business projects. A mixed approach to service selection can provide the most bang for your buck and also help you hit your targeted goals.

An alternative path for interested organizations that aspire to leave a potential impact on business from the cloud industry can catch a glimpse of the cloud computing software customers email list for new growth avenues.