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AWS vs Hetzner: Which Cloud Account Should You Buy?

A practical comparison of AWS and Hetzner covering service breadth, pricing model, network costs, outbound email and the workloads each one actually suits.

AWS and Hetzner get compared constantly, usually by people who have already decided the workload could run on either. That is normally true. What differs is cost shape, how much of the stack you run yourself, and which constraints each platform imposes.

This comparison works through the differences that actually change a decision, then says plainly which one to pick and when. Live starting prices and configuration counts for both are shown in the table below and come straight from the catalog.

Short answer. Hetzner will cost a fraction of AWS for the same raw compute, and that gap is not close. The trade is that you run everything yourself. Pick Hetzner when engineering time is cheaper than infrastructure spend, AWS when the opposite is true.

AWS and Hetzner at a glance

AWSHetzner
Starting price$25.00$50.00
Configurations available253
Best suited toTeams that need one platform covering compute, storage, data and generative AI.Cost-sensitive production workloads inside the EU.
CoverageGlobalGermany and Finland, plus US locations
Notable servicesEC2, S3, Amazon Bedrock, SageMakerCloud Servers, Dedicated Servers, Storage Box, Load Balancers

View AWS accountsView Hetzner accounts

Service breadth

AWS

The widest service catalogue of any provider, spanning compute, storage, databases, networking, analytics and machine learning.

Hetzner

Cloud servers, dedicated servers, storage boxes and load balancers. No managed database or analytics layer.

The practical question is not which catalogue is larger but whether the one you choose contains the specific services your project needs. A large catalogue you never touch is not an advantage.

How each one charges

AWS

Per-second and per-hour billing across dozens of instance families, with reserved and spot options that reward committed usage.

Hetzner

Among the lowest price-to-performance ratios available anywhere, particularly on dedicated hardware.

Beyond the instance rate, network egress is the cost that most often surprises people. On AWS, egress is billed per gigabyte and becomes a material line item on data-heavy workloads. On Hetzner, a very large transfer allowance is included with each server, well beyond what most providers bundle.

If the workload moves a lot of data, read our breakdown of egress charges before comparing instance prices, because egress can dominate the bill.

The differences that matter

  • Different classes of platform. AWS is a full-service hyperscaler platform and Hetzner is a European specialist one. That single fact explains most of the price gap and most of the capability gap.
  • Where each is strongest. AWS is chosen for unmatched service breadth and the deepest managed AI stack. Hetzner is chosen for price to performance that the hyperscalers cannot approach, on EU hardware.
  • What you give up. With AWS, cost and complexity that grow quickly if nobody is watching the bill. With Hetzner, you manage almost everything yourself; there is no managed service safety net.

Console and learning curve

AWS. A large console that rewards familiarity but is genuinely complex for newcomers, with IAM as a first-class concept from day one.

Hetzner. A simple, fast console that does exactly what it needs to and nothing more.

Outbound email

AWS. Outbound port 25 is restricted by default; production email is expected to go through Amazon SES.

Hetzner. Outbound mail is permitted subject to the acceptable use policy, which makes it viable for mail servers.

This is a hard constraint rather than a preference, so settle it before anything else if your workload sends mail. The guide to port 25 explains which providers permit it.

Where they run

AWS. Regions on every populated continent, with fine-grained control over where data lives.

Hetzner. Datacentres in Germany and Finland, with US locations added more recently. GDPR compliance is a core selling point.

AI and machine learning

AWS. Bedrock for hosted foundation models and SageMaker for training and deployment, alongside GPU instance families.

Hetzner. Dedicated GPU servers are available, but there is no managed AI tooling.

If AI work is the reason for the account, our guide to choosing a cloud for AI workloads covers the ground in more detail.

Which one to choose

Choose AWS when

Pick AWS when you need more than servers, and expect to reach for managed data, analytics or AI services in the same account.

Choose Hetzner when

Pick Hetzner when cost per unit of compute is the deciding factor and you are comfortable running your own stack.

Before you commit

  1. Confirm the specific services you need exist in the region you need them in. Availability varies by region on every provider.
  2. Estimate egress volume and price it on both platforms. It is the cost most often left out of a comparison.
  3. Check quotas. A new account starts with conservative limits, and raising them takes time on either platform.
  4. If outbound email matters, settle that question first, because it eliminates options rather than merely adding cost.
  5. Consider running both. Using each platform for what it is good at is more common than standardising on one.

Conclusion

Hetzner will cost a fraction of AWS for the same raw compute, and that gap is not close. The trade is that you run everything yourself. Pick Hetzner when engineering time is cheaper than infrastructure spend, AWS when the opposite is true.

Both platforms are available here with published configurations and pricing: Buy AWS Accounts and Buy Hetzner Accounts. If you are still weighing them, the full comparison table puts every provider side by side, and support can talk through the specific workload.

Accounts on the platforms discussed here, with every configuration and price published up front:

  • Buy AWS Accounts — from $25.00. Over 200 services, from EC2 to Bedrock.
  • Buy Hetzner Accounts — from $50.00. German infrastructure, GDPR compliance, strong price to performance.

Further reading

Official documentation

Provider behaviour, quotas and pricing are defined by the platform itself. These are the first-party references for the services discussed above:

Frequently asked questions

It depends on the workload shape rather than the list price. Compare the starting prices in the table above, then add expected egress, because that is where the two most often diverge.

Plain virtual machines and object storage move relatively easily. Managed services do not, so the difficulty depends on how much of each platform's proprietary surface you used.

AWS if you need more than servers, and expect to reach for managed data, analytics or AI services in the same account. Hetzner if cost per unit of compute is the deciding factor and you are comfortable running your own stack.

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