Choosing between AWS, Google Cloud and Azure rarely comes down to one provider being universally cheaper or more compliant. All three offer cloud regions in the EU. The decision depends on where your data must stay, which services your application needs, what your team can operate, and what the full bill includes.

EU regions and data residency

A cloud region is a provider's location for running applications and storing data. Selecting an EU region is a useful starting point, but it does not automatically mean every part of your service stays in the EU. Backups, logs, support access and other managed services may have separate settings or terms.

Provider	EU region considerations	What to check before choosing
AWS	Offers EU regions and a broad selection of managed services. Availability and controls can differ between services and regions.	Confirm where each service stores its data, how backups are handled, and whether your required services are available in your chosen region.
Google Cloud	Offers EU regions, with data and analytics services that may suit data-heavy applications. Service locations and controls still need to be checked individually.	Check the location options for storage, processing, logs and backups, not only the main application.
Azure	Offers EU regions and may fit organisations already using Microsoft products and services. The fit depends on the specific services and agreements involved.	Verify the location commitments for each service and how identity, monitoring and support access are configured.

GDPR is not a setting you switch on in a cloud account. Your organisation remains responsible for how personal data is collected, used and accessed. The provider supplies contracts, controls and documentation; your architecture and operating practices determine how you use them. Ask your legal or compliance adviser to confirm the requirements for your data and business.

Before committing, list the data you handle and its required location. Then trace where it is stored, processed, backed up and monitored. Confirm the relevant terms and settings directly with the provider, because one service's residency options do not necessarily apply to another.

Managed services and the fit with your team

AWS has a wide range of services, which can support varied workloads but can also leave you with more choices to assess and more moving parts to manage. Google Cloud is often considered for workloads centred on data analysis and machine learning. Azure may be a natural fit when your organisation already relies on Microsoft tools and skills. These are starting points for evaluation, not guarantees of lower cost or better performance.

Managed services can reduce the amount of underlying infrastructure your team has to maintain. They do not remove operational responsibility: someone still needs to set access rules, monitor usage, plan backups and respond to problems. Compare the effort your team can realistically take on, not just the feature lists.

A useful example of a separate architecture decision is the TanosMotorsport e-commerce case study. Its reusable engine separates the storefront from the content system. That does not tell you which cloud provider to choose; it illustrates why the shape of your application should be considered alongside the provider.

Cost breakdown: what you are paying for

The short answer: compare the cost of running and operating the whole application, not the headline price of a server. Provider bills depend on actual use, selected services and how data moves between them. A low starting bill can change as traffic, storage or operational needs grow.

Cost component	What it covers	What pushes it up or down	Qualitative size
Application and managed services	Compute, databases, storage and other services the product needs.	More services, heavier workloads and higher availability needs raise the bill; simplifying the design can lower it.	The largest line item for many applications because it includes the services running the product.
Data transfer	Moving information between services, regions or out to users.	Frequent transfers, large files and avoidable cross-region traffic push it up; keeping related work close together can reduce it.	Grows with scope because the amount and route of data depend on how the application is used.
Residency, backup and recovery	Keeping data in required locations and preparing to restore it after a problem.	Extra copies, retention needs and recovery requirements add storage and service costs; requirements should be agreed before implementation.	Grows with requirements because stronger recovery and retention arrangements need more resources.
Security and monitoring	Access controls, audit records, alerts and operational visibility.	More detailed oversight and longer record retention increase usage; omitting these controls can create business and compliance risks instead.	Small to grows with scope depending on the level of oversight your organisation needs.
Team operations	The time needed to manage changes, investigate issues and review usage.	A complex setup or unfamiliar services demand more attention; existing skills and simpler choices can reduce the burden.	Grows with complexity because people must maintain the environment as well as pay the provider.

What moves the total most

The main cost drivers are the workload, how data moves, and the amount of ongoing oversight required.

Workload shape: A site with steady, modest demand is different from a service that handles heavy data processing or sharp changes in activity. Estimate usage from how the product will actually work, then revisit the estimate as you learn more.
Data movement: Applications that move information between services or regions can incur costs beyond storage and processing. Map those paths before settling on a design.
Operating expectations: Backups, recovery, security review and monitoring are not optional extras for every business. Agree on what the service must withstand and who will manage it before comparing provider estimates.

The common budgeting mistake is comparing a single service price while leaving data transfer, backups, monitoring and the work of running the environment out of the estimate.

How we choose for client projects

We start with constraints rather than a default provider: required data locations, the services the application needs, existing team skills and the way the workload is expected to behave. We then compare realistic designs and their operating demands. A provider that looks attractive on a feature list may not be the practical choice if your team would need to learn and maintain a very different setup.

For a business already invested in Microsoft tools, Azure may reduce friction. For a product that depends heavily on a particular data service, the provider offering the right fit may be worth evaluating first. If your needs are straightforward and your team already knows a platform, changing providers just to chase a general price or performance claim may not be worthwhile.

Whatever you choose, keep the design no more complicated than the business requires. Document where data goes, who can access it, how backups work and how the bill will be reviewed. If you want help assessing those decisions, PixelHorizon works across application development, custom software, data and cloud services.

Bottom line

Shortlist providers against your data-location requirements, existing team skills and the services your application genuinely needs. Ask each provider for a cost estimate based on your expected use, including data movement and operational safeguards. If the trade-offs are still unclear, talk through your architecture with PixelHorizon before you commit.