AWS vs Azure vs Google Cloud

By Tim Parker | 14th May 2026 11:27 am | Microsoft Azure

Choosing between Microsoft Azure, Amazon Web Services, and Google Cloud (GCP) is not a matter of preference or market perception. For most UK organisations, it comes down to what the platform needs to support day-to-day, where your data must be stored, how clearly you can control access, and how predictable you need your costs to be.

This guide compares the three major cloud platforms for IT managers and decision-makers. It focuses on practical differences you can plan around, rather than listing every service. It also includes links to reputable sources so you can validate key points and share them internally.

UK data residency and compliance options

For UK organisations, data residency usually starts with a simple question: can you keep data stored in the UK and demonstrate it? The reality is more nuanced because some services are regional, some are global by design, and personal data may still be accessed from outside the UK for support or operations, depending on contractual and technical controls.

Azure UK regions and resilience planning

Azure provides UK South in London and UK West in Cardiff, and Microsoft documents how regions are paired for resilience and recovery planning. Region pairing does not automatically give you disaster recovery, but it is an important input when you design backups, replication, and failover.

Azure also documents Availability Zones, which are separated groups of data centres inside a region, each with independent power, cooling, and networking. Where zones are available, they give you a clearer way to keep a service running if one part of a region has an outage.

AWS London region and resilience planning

AWS offers a London-based data centre region, and each AWS region has multiple isolated Availability Zones. In plain terms, you can place parts of your system in separate physical sites within the same region, which helps reduce the impact of a single site problem.

From a UK perspective, you can design for resilience within the London region and control where data is stored, but you still need clear standards around service selection and configuration. Not every service handles data location and failover in the same way, and without clear governance, it is easy to introduce links to services outside the UK region without intending to.

Google Cloud UK controls and guardrails

Google Cloud has a strong locations model and more formalised controls for regulated scenarios through Assured Workloads. The UK Data Boundary control package is specifically designed to apply guardrails for workloads that need UK-focused controls, including data residency and access-related requirements for supported services.

UK GDPR international transfers and what to document

The UK GDPR focuses on whether you are making a restricted international transfer and whether appropriate safeguards are in place. In practice, this means you need clarity on where personal data is stored, where it can be accessed from, what your supplier contracts allow, and what technical controls you have in place, including access logging and encryption. The ICO guidance also covers the need for a transfer risk assessment where safeguards apply.

A practical way to make this manageable is to define a small set of approved regions, approved services, and standard patterns for storage, backups, and support access. The goal is not to stop teams using cloud services; it is to make sure they use them in a way you can explain and evidence.

Cost models and billing complexity

All three providers offer pay-as-you-go pricing, plus commitment-based discounts. The difference is how quickly cost management becomes difficult once you are running more than a handful of workloads.

AWS cost planning

AWS offers a broad catalogue with pricing that varies by service, usage, and region. That flexibility is useful, but forecasting is easier when you standardise early and use commitment discounts where usage is stable, such as Savings Plans or Reserved Instances.

Azure cost planning

Azure cost planning can align well with Microsoft procurement models. Reserved instances and the savings plan for compute can reduce steady compute costs, and Azure Hybrid Benefit can reduce costs for eligible Windows Server or SQL Server licences.

Google Cloud cost planning

Google Cloud offers sustained-use discounts for eligible Compute Engine usage and committed-use discounts for predictable workloads. This can improve cost stability, provided you still set clear budgets and ownership for projects.

The governance point that prevents avoidable spending

Most savings come from good foundations rather than complex optimisation. A consistent structure for accounts or subscriptions, clear tagging, budgets, and alerts will prevent common issues such as orphaned resources and duplicated services. For leadership comparisons, include resilience and security requirements and the cost of ongoing operations, not only headline compute pricing.

Integration with Microsoft environments

This is often the deciding factor for UK businesses where Microsoft 365 is central to daily operations.

Azure

If your organisation runs on Microsoft 365, Windows, Active Directory or Entra ID, and teams work heavily in Teams and SharePoint, Azure can simplify identity, policy, and administration because many controls align naturally with the Microsoft stack. This can make audit evidence simpler and hybrid integration more predictable.

AWS

AWS integrates well with Microsoft environments, but it typically requires more upfront design to make identity, networking, and management consistent across teams.

Google Cloud

Google Cloud is often selected where the workload is the driver, for example, data platforms and analytics, rather than as a default extension of a Microsoft estate.

Many UK businesses take a blended approach, selecting a primary platform for governance and core services, with secondary platforms approved for specific workload types. You might choose Azure to manage access and policies, support Microsoft 365, and connect cloud services with on-site systems, then use AWS or Google Cloud for specific workloads where they are a better fit.

Security and responsibility, what the cloud provider does, and what you still own

Moving to the cloud does not remove your security responsibilities. Providers secure the underlying infrastructure, but you remain responsible for configuration, access control, and data protection. To keep this practical, standardise identity and access; logging and monitoring; encryption; network segmentation; and patching responsibilities across teams. This matters even more in multi-cloud environments, where inconsistent controls create gaps.

Service maturity and enterprise support

All three are mature platforms, but their strengths show up in different places.

AWS

AWS is often seen as the broadest platform, with deep service choice across infrastructure and managed services, plus a large ecosystem of third-party tooling and partners. AWS also publishes extensive global infrastructure information, which is helpful when you need to explain resilience and location decisions to stakeholders.

Azure

Azure is strong for enterprise governance and for organisations already invested in Microsoft, with well-established patterns for hybrid setups. For many IT managers, the advantage is not that Azure has more services; it is that it reduces friction across identity, endpoints, collaboration, and platform management. Microsoft also publishes detailed region and reliability guidance, which supports planning and documentation.

Google Cloud

Google Cloud has a strong reputation in data, analytics, and certain modern engineering workflows. Where regulated controls are a driver, Assured Workloads provides an additional layer of structure through control packages that apply guardrails to folders and projects.

Support models and operating fit

Support tiers matter most during migration and for 24/7 operations. The practical choice depends on your operating model, whether you will run a platform team in-house, use co-managed support, or move to a managed service. If internal capability is limited, a platform that matches current skills can reduce delivery risk.

Typical workloads for each platform

It can help to think in terms of what each platform is commonly picked for, then test those assumptions against your own environment.

Azure is often a strong fit for

Microsoft-centred estates, hybrid cloud, identity-led governance, Windows Server and SQL Server footprints, and organisations that want their cloud strategy to sit neatly alongside Microsoft 365. It is also a common choice when governance and operational alignment with existing Microsoft tooling is a priority.

AWS is often a strong fit for

Complex multi-tier applications, large-scale web workloads, broad infrastructure patterns, and organisations that want maximum service choice and mature ecosystem support. AWS location and Availability Zone concepts are also widely used as a standard way to explain resilience within a region.

Google Cloud is often a strong fit for

Data platforms, analytics, modern application builds, AI-related workloads, and teams that value a strong developer experience. When you need more formalised compliance boundaries for specific programmes, Assured Workloads can provide guardrails that reduce the risk of accidental non-compliance.

These are not hard rules. You can run almost anything on any of them. The practical question is how much work it takes to get the platform aligned with your governance, skills, and operating rhythm. That is why GCP vs AWS vs Azure decisions should be tied back to your people and processes, not just feature lists.

How to choose without getting stuck

If you are comparing AWS vs Azure vs GCP, start with a shortlist of decision criteria that reflect your reality.

1. Confirm your constraints

• Where regulated data must be stored
• What you need to demonstrate during audits
• What availability do you need for business-critical systems
• What your budget model looks like, including how much variability is acceptable

If international transfers are in scope, document your approach in line with ICO guidance and record the safeguards you rely on.

2. Define your baseline architecture

Keep this simple at first. Agree on a standard approach for identity, networking, logging, backups, and encryption. This is the foundation that stops small decisions from turning into large operational problems.

3. Test with a real workload

Run a small proof of value with a real service, not a demo. Measure:

• How quickly can you safely deploy?
• How easy is it to apply access controls and policies?
• How clear are the logs for troubleshooting and auditing?
• How predictable are costs once you add backups and resilience?

4. Choose an adoption path

In many organisations, a single cloud platform is not realistic because of the history and specialist needs that exist. A practical option is:

• Choose a primary platform for governance and core services
• Allow secondary platform use for approved workload types
• Document the reasons, so the platform choice is defensible and repeatable

Migration and modernisation, what tends to work best

Cloud programmes tend to move faster when you separate foundation work from application change. Establish identity, networking, logging, and a landing zone first, then migrate lower-risk workloads to build confidence and repeatable patterns. Modernise selectively where it delivers measurable value, and define clear ownership for monitoring, patching, access reviews, and cost reviews so the environment stays stable.

GCP vs AWS vs Azure at a glance

Final thoughts

Azure, AWS and Google Cloud are all credible foundations for UK organisations. The best choice depends on what you are optimising for.

• If you rely heavily on Microsoft tools, working with an experienced Microsoft Azure consulting services partner can help make things easier to manage and control.
• If you need maximum breadth and a deep ecosystem, AWS is difficult to ignore.
• If data, analytics and modern engineering workflows are central, Google Cloud can be a strong option.

If you want an experienced UK partner to help you assess, design, migrate, and optimise your cloud foundation, Syntax can support you with a practical platform comparison aligned to your workloads and compliance requirements. Speak to Syntax about a cloud platform assessment, including a practical comparison of Azure, AWS and Google Cloud against your workloads and compliance requirements.