Google Cloud vs Hetzner: Which Cloud Account Fits Your Workload?

Google Cloud is the platform data teams migrate toward. Hetzner is the price-per-core leader, by a wide margin. This page puts the two side by side — the live configurations and prices from our catalogue, then the differences that actually decide the choice.

Live catalogue comparison
In our catalogue Google Cloud Hetzner
Product Buy Google Cloud Account Buy Hetzner Account
Configurations in stock 6 3
Lowest price $40 $55
Highest price $75 $250
Example options $30 Deposit / USA IP · GCP Canada · GCP $300/$350 / Brazil IP 5 Server Account · 10 Server Account · Hetzner Cloud Server
View options View options

Prices and configuration counts are read from the live catalogue. Specifications are listed exactly as supplied; nothing here is estimated.

Billing model is the real difference

Everything else on this page is secondary to one structural difference: Google Cloud meters what you use, and Hetzner charges a published monthly figure. That is not a pricing detail, it is a difference in who carries the uncertainty.

With Google Cloud you pay for exactly the compute-seconds, requests and gigabytes you consume, which is honest for elastic workloads and unnerving for fixed ones — the bill is knowable only in arrears. With Hetzner the number is fixed in advance and idle capacity is your problem rather than your accountant’s.

If an unexpected invoice would be a genuine problem rather than an annoyance, that constraint decides this comparison before any feature does.

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 Hetzner is the stronger choice

Economics. For a given amount of CPU and RAM, Hetzner is routinely a fraction of a hyperscaler’s price, with a bandwidth allowance that makes egress a non-issue for most workloads.

Best suited to: teams that need raw compute and are happy to operate it themselves.

Regions: Germany and Finland, with a US presence — the European sites are the core of the offering.

Worth knowing: The acceptable-use rules are enforced, and the support model is efficient rather than hand-holding. It suits teams that already know what they are doing.

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.

Hetzner: Almost no managed services. You get excellent servers and a competent network; databases, queues, backups and monitoring are yours to run.

How to choose between them

  • Choose Google Cloud if your workload is Analytics pipelines, ML training and serving, and Kubernetes-first architectures
  • Choose Hetzner if your workload is Self-managed workloads, build farms, batch processing and anything where the bill is dominated by CPU hours
  • 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

Questions

Common questions about this comparison

Is Google Cloud cheaper than Hetzner?

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 Hetzner bills a fixed monthly figure, 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.

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