What are the main cloud platforms and how do they compare?

The main public cloud platforms are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. Oracle Cloud Infrastructure (OCI) and IBM Cloud are also significant, especially in particular enterprise and industry use cases.

A quick rule of thumb: start with AWS for breadth, Azure if your organization is Microsoft-centered, Google Cloud for analytics or Kubernetes-heavy work, and OCI if Oracle databases are a major factor. These are starting points, not universal rankings—cost, location, compliance, existing skills, and the exact workload can change the best choice.

For many organizations, choosing a cloud is less about picking a single overall winner and more about comparing a few representative workloads: estimate their costs, test performance, and check migration effort, security requirements, and operational skills. The platforms overlap substantially, but prices and capabilities vary by service and workload, so a general ranking may not predict your actual bill or results.

The big three are AWS, Microsoft Azure, and Google Cloud, which together hold most of the market. Oracle Cloud, IBM Cloud, and Alibaba Cloud are smaller options, and I haven't checked them here.

Market position
Estimates vary by source. One tracker puts worldwide market share at 20% for Azure, 28% for AWS, and 15% for Google Cloud in Q2 2026. Another says the three together account for about 63% of worldwide spending on cloud infrastructure.

Core services
Their basic offerings overlap heavily. Storage is largely equivalent: S3, Azure Blob Storage, and Google Cloud Storage handle object storage similarly. Compute is also close, so differences show up mostly in the higher-level services.

Where each one stands out

• AWS: The strongest case is breadth and maturity. It has the widest catalog and the deepest bench of engineers, so it suits unusual and long-tail requirements. It is usually the default choice when you need a specialized service.
• Azure: Its advantage is fit with Microsoft. It is usually the better fit for organizations already running Windows Server, SQL Server, Microsoft 365 and Microsoft Entra ID. It also has strong hybrid support, and Azure Stack / Arc and AWS Outposts both support on-premises setups.
• Google Cloud: It is strongest in data, AI, and containers. Google created Kubernetes, and GKE is often cited by platform teams as the most polished managed Kubernetes experience. Google BigQuery is industry-leading for analytics, and it is also the smallest of the three with fewer regions and a smaller service range.

Cost
Sticker prices are close. List prices for general purpose compute and standard storage now sit within about five percent of each other, so the real difference shows up in egress, commitment coverage and idle capacity. Your existing software licenses can matter more than list price. Microsoft licensing benefits can make Azure cheaper for Microsoft-heavy shops.

Lock-in and multi-cloud
Each platform has proprietary services that make switching harder. Many organizations use more than one provider. One guide notes that most enterprises now run more than one cloud, so plan for multi-cloud rather than a single bet.

Bottom line
Choose based on your existing stack, your team's skills, and your workload. AWS is the safest general-purpose pick. Azure fits Microsoft-centric organizations. Google Cloud fits data, analytics, and AI-focused work. As one source puts it, none of the three is objectively best.

As of late 2026, the global cloud infrastructure market is dominated by the "Big Three": Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Together, they control approximately 68% of the global enterprise cloud spend.

While all three provide core services like compute, storage, networking, and databases, they are often chosen for distinct strategic advantages.

1. Amazon Web Services (AWS)

AWS remains the market leader and the most mature platform. It is often the default choice for organizations that prioritize breadth of service and scale.

• Key Strengths: It offers the most extensive catalog of services (240+ managed services) and has the largest global infrastructure footprint. It is known for its highly mature ecosystem, massive community support, and sophisticated cost-management tools (e.g., Reserved Instances and Savings Plans).
• Best For: Large-scale, global operations, startups needing a broad range of migration tools, and businesses building complex, high-demand applications.

2. Microsoft Azure

Azure is the preferred choice for many established enterprises, particularly those already deeply embedded in the Microsoft ecosystem.

• Key Strengths: It offers seamless integration with existing Microsoft software (Windows Server, SQL Server, Office 365, Active Directory). It is widely recognized as the leader for hybrid cloud solutions, making it an excellent fit for businesses migrating legacy systems to the cloud.
• Best For: Enterprises already using Microsoft products, organizations requiring robust hybrid cloud capabilities, and businesses needing deep enterprise identity and security integration.

3. Google Cloud Platform (GCP)

GCP is often cited as the top choice for data-heavy and AI-driven innovation. It has seen significant growth in 2026, largely driven by its specialized AI and analytics offerings.

• Key Strengths: Its primary differentiators are its industry-leading data analytics (e.g., BigQuery), machine learning tools (e.g., Vertex AI), and native support for Kubernetes. It is known for a more developer-friendly, streamlined experience and strong performance in containerized environments.
• Best For: Data-intensive workloads, AI/ML development, and cloud-native startups or innovation teams looking for cutting-edge analytics capabilities.

Summary Comparison

How to Choose

When selecting a platform, consider these three factors:

1. Current Tech Stack: If your organization relies heavily on Microsoft tools, Azure often provides the path of least resistance.
2. Workload Requirements: If your goal is deep data analysis or training large AI models, GCP's toolset (BigQuery/Vertex AI) is highly competitive. If you need a broad, "do-everything" platform with the most third-party integrations, AWS is the standard.
3. Hiring and Expertise: AWS has the largest pool of certified professionals, which can make hiring easier, while Azure and GCP expertise is increasingly common in specific sectors.

Many modern organizations now adopt a multi-cloud strategy, choosing to run different workloads on whichever platform offers the best technical or cost advantage for that specific task.

The main cloud platforms are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. They all offer the core building blocks—compute, storage, databases, networking, security, analytics, and AI—but differ in ecosystem and areas of emphasis. Together, they account for roughly two-thirds of global cloud infrastructure spending; recent market estimates put AWS first, Azure second, and Google Cloud third, though the exact shares vary by source and measurement. ¹²

These are tendencies, not hard limits: all three can run most common workloads, and each has major AI and Kubernetes offerings. ²

A practical way to choose: start with your current software and skills, the services your workload needs, the regions and compliance requirements you have, and the full cost—including support and data transfer. Compare representative workloads using each provider’s pricing calculator; headline prices alone don’t determine the least expensive option. ³

Sources
¹ CRN — Cloud market share, Q2 2026
² AWS Builder Center — AWS vs. Azure vs. Google Cloud
³ AWS pricing calculators