Google Cloud is the platform data teams migrate toward. Azure is the cloud that already speaks your organisation’s language if it runs Microsoft. This page puts the two side by side — the live configurations and prices from our catalogue, then the differences that actually decide the choice.
| In our catalogue | Google Cloud | Azure |
|---|---|---|
| Product | Buy Google Cloud Account | Buy Azure Account |
| Configurations in stock | 6 | 6 |
| Lowest price | $40 | $25 |
| Highest price | $75 | $2,250 |
| Example options | $30 Deposit / USA IP · GCP Canada · GCP $300/$350 / Brazil IP | Pay As Direct / Spain · Free Trial $200 · Trial $200 |
| View options | View options |
Prices and configuration counts are read from the live catalogue. Specifications are listed exactly as supplied; nothing here is estimated.
Both are hyperscalers, so the question is ecosystem fit
Google Cloud and Azure will both run essentially any workload, and both meter it the same way. Capability is not the deciding factor — the deciding factor is which platform’s centre of gravity matches what you are building.
Google Cloud is strongest at: Analytics pipelines, ML training and serving, and Kubernetes-first architectures.
Azure is strongest at: Windows workloads, enterprise identity, hybrid estates, and Azure OpenAI Service.
Picking the one whose defaults already match your architecture means less configuration, cheaper support and a larger pool of people who have solved your problem before.
Where Google Cloud is the stronger choice
Data and containers. The analytics stack is genuinely differentiated, and the managed Kubernetes offering is widely regarded as the most polished — unsurprising given where Kubernetes came from.
Best suited to: teams whose centre of gravity is analytics, machine learning or Kubernetes.
Regions: A strong global footprint built on Google’s own private backbone, which shows up as consistent inter-region latency.
Worth knowing: Credit-backed projects are attractive for evaluation, but the credit is a starting balance rather than an ongoing discount — model the post-credit run rate before committing.
Where Azure is the stronger choice
Integration. Identity is one system rather than two, licensing arrangements are favourable for existing Microsoft customers, and the hybrid story is the strongest of the major platforms.
Best suited to: organisations already invested in Active Directory, Microsoft 365 and Windows Server, and anyone with a genuine hybrid requirement.
Regions: A very wide region footprint, including many sovereign and government regions that the other platforms do not match.
Worth knowing: The decisive advantages are commercial and organisational rather than technical — if the organisation is not Microsoft-centric, most of them do not apply.
The trade-offs, stated plainly
Google Cloud: The catalogue is narrower than AWS’s and the third-party integration ecosystem is smaller, so for a conventional three-tier web application the advantage over the alternatives is modest.
Azure: Outside the Microsoft ecosystem the technical case is far more even, and the portal’s information architecture is an acquired taste.
How to choose between them
- Choose Google Cloud if your workload is Analytics pipelines, ML training and serving, and Kubernetes-first architectures
- Choose Azure if your workload is Windows workloads, enterprise identity, hybrid estates, and Azure OpenAI Service
- Choose neither if the shape of the work does not match either — the full catalogue has eight other platforms, and the comparison tool will hold four of them side by side.
Related reading
- Buy Google Cloud Account — every Google Cloud configuration in stock
- Buy Azure Account — every Azure configuration in stock
- How to choose a cloud provider — the framework behind this comparison
- How cloud billing works — why the billing model matters more than the sticker price
- Compare up to four accounts side by side
Questions
Common questions about this comparison
Is Google Cloud cheaper than Azure?
The prices in the table above are the live catalogue prices for the accounts we stock, so you can compare those directly. Running cost is a separate question and depends on the billing model: Google Cloud bills per unit consumed and Azure bills per unit consumed, which means the cheaper account is not always the cheaper month.
Can I run the same workload on both?
For ordinary Linux servers, databases and web applications, yes. The divergence starts when you adopt a platform's proprietary managed services — a specific queue, function runtime or identity model — because those are what make a migration expensive later.
Which one is better for Analytics pipelines?
That is Google Cloud's stated strength, so it is the natural starting point. It is still worth checking region availability and the billing model against your own constraints before committing.
What do I actually get when I buy an account here?
The configuration named on the product page and nothing beyond it — the vCPU figure, region, account age or credit exactly as listed. Both product pages set out every option in stock with its own price.