AWS vs. Azure vs. GCP: Understanding the Differences Between Major Cloud Solutions

Choosing a cloud provider is a long-term commitment

AWS, Azure, and Google Cloud Platform (GCP) are the three dominant public cloud providers. Together they account for the majority of cloud infrastructure globally. Choosing between them affects pricing, tooling, talent availability, and integration options for years.

The right choice depends on your workload, your team, and where you are starting from.

AWS: the default for most teams

Amazon Web Services has been the market leader since 2006 and still holds the largest share of the cloud market. That leadership translates into practical advantages: the largest service catalog, the most extensive third-party integrations, the deepest community resources, and the widest pool of engineers with direct experience.

Strengths: Breadth of services, mature tooling, strong support for startups through AWS Activate, largest partner ecosystem, best-in-class options for almost every infrastructure category.

Weaknesses: Pricing complexity is significant. The number of services can be overwhelming for teams without cloud expertise. Cost optimization requires deliberate effort.

Best for: Startups without a pre-existing Microsoft or Google relationship, teams building on open-source stacks, organizations that need the widest range of services.

Azure: the enterprise default

Microsoft Azure is the natural choice for organizations already running Microsoft workloads: Active Directory, Office 365, Teams, SQL Server, and .NET applications. The integration between Azure and the Microsoft ecosystem is tight, and enterprise licensing agreements often make Azure the cost-effective default.

Strengths: Deep Active Directory integration, strong hybrid cloud story for organizations with on-premises infrastructure, favorable enterprise licensing terms, strong compliance certifications for regulated industries.

Weaknesses: Developer experience has historically lagged AWS and GCP. Some services are less mature than their AWS equivalents.

Best for: Enterprise organizations already in the Microsoft ecosystem, regulated industries requiring specific compliance certifications, teams running .NET or Windows Server workloads.

GCP: the data and AI leader

Google Cloud Platform is the smallest of the three by market share but the strongest in specific domains: data analytics, machine learning, and Kubernetes. Organizations building data pipelines, training ML models, or running large-scale containerized workloads find GCP compelling.

Strengths: BigQuery for analytics is best-in-class, Vertex AI and TPU access for ML workloads, Kubernetes Engine is the most mature managed Kubernetes offering, competitive pricing particularly for sustained use.

Weaknesses: Smaller service catalog than AWS, smaller partner ecosystem, Google has a history of discontinuing products.

Best for: Data-intensive organizations, ML and AI workloads, teams already using Google Workspace, Kubernetes-native architectures.

The multi-cloud reality

Most large organizations end up using more than one provider, either by design or through acquisition. Managing this complexity requires investment in cloud-agnostic tooling like Terraform and Kubernetes.

For most startups and small businesses, committing to a single provider and going deep is the more practical strategy. The overhead of managing multiple cloud environments is real.

What we recommend

For web platforms and custom software, we build primarily on Vercel for deployment and Supabase (which runs on AWS) for data. For clients with existing cloud relationships, we work within their environment rather than forcing a migration.

The best cloud provider is the one your team can operate confidently and cost-effectively. If you are making this decision for a new project, get in touch and we can help you think through the tradeoffs for your specific situation.