European cloud providers: what to compare before you choose

European cloud providers are not interchangeable. For a validator, RPC node, indexer or oracle service, compare the deployment model, dedicated-resource guarantees, storage path, failure domains, operator responsibility and exact data location before comparing price. A platform that is excellent for a stateless web application can still be the wrong home for stateful blockchain infrastructure.

This guide compares four different service shapes rather than declaring a universal winner. The right choice depends on what your team wants to operate itself and what the workload cannot compromise on.

Europe, the EU and sovereignty are different filters

A European data-centre location answers only one question: where a workload can run. It does not, by itself, tell you where the provider is incorporated, who operates the control plane, which law governs the contract, where support staff can access data or how much of the technical stack depends on third parties.

The distinction matters even inside official procurement. In April 2026, the European Commission said its Cloud Sovereignty Framework measures eight objectives, including legal and operational considerations, supply-chain transparency, technological openness and security. Location is part of the decision, not a substitute for it.

For UK buyers there is another simple distinction: Manchester is in Europe but outside the EU. Write the actual requirement before shortlisting providers. "European hosting", "EU data location" and "EU-operated sovereign cloud" are three different procurement statements.

A sourced comparison of European cloud providers

The table below is a workload-fit comparison, not a price ranking. It records what each provider publishes about the service shape and European locations, then identifies the unanswered question a blockchain infrastructure buyer should take into procurement.

Methodology. We reviewed each linked provider page on 25 August 2026. The comparison uses public product and location documentation, not negotiated contracts or private benchmarks. It deliberately excludes prices because instance families, commitments, storage and support make headline rates incomparable. Before signing, verify the current order form, responsibility matrix and service-level agreement with the provider.

This table is reusable for an initial shortlist, but it is not a substitute for a technical trial. Published availability describes a product catalogue. It does not prove that a specific node remains in sync, that storage meets a database's latency requirements or that a failover procedure works.

Six questions that expose the real difference

1. Is the workload on shared, dedicated or guaranteed capacity?

"Cloud" can mean a shared virtual machine, a VM with dedicated vCPUs, a whole physical server or a managed platform on owned hardware. These are not equivalent for a timing-sensitive node.

Ask whether CPU requests are guaranteed, whether limits can throttle the workload, whether storage is shared, and what happens during host contention. If a provider cannot describe the isolation boundary in plain language, the buyer cannot model performance risk.

2. Who operates the control plane and worker nodes?

Managed Kubernetes often means that the provider maintains the Kubernetes control plane while the customer remains responsible for worker nodes, containers, sizing, data and backups. OVHcloud publishes that division explicitly. Scaleway says it manages the control plane and core components, while the allocated nodes and persistent volumes remain part of the customer's cluster design.

That can be the right division for a platform team. It is not the same product as a managed infrastructure operator that also owns workload sizing, upgrades, monitoring and incident response.

3. What is the storage failure model?

Blockchain workloads are stateful. Their databases grow, write continuously and can take hours or days to rebuild. Storage must therefore be evaluated as part of the service rather than as an attachment to a compute quote.

Scaleway's documentation makes the issue unusually clear: Kubernetes nodes should be treated as stateless, so stateful applications need persistent volumes. Apply that question to every provider. Where is the volume located? What are its throughput and latency limits? How is it backed up? Can it reattach in another failure domain? How long would a full resync take?

4. Are the failure domains real and useful to this workload?

Count buildings, power domains, network paths and control-plane zones, not region names. A three-zone control plane does not make a single worker or single storage volume highly available. Conversely, spreading validator keys or node databases across sites without a tested protocol can create a different failure mode.

Ask the provider to draw the intended workload across the available failure domains. Then remove one domain from the diagram and describe what continues, what restarts and what needs human intervention.

5. What does "European" mean in the contract and architecture?

Record at least four facts separately:

• the provider's contracting entity and governing law;
• the physical location of compute and storage;
• the location and operator of the control plane;
• the people and subprocessors that can access the service.

This prevents a geographic label from carrying claims it cannot support. It also makes security and legal review faster because each team receives a concrete fact rather than a vague sovereignty promise.

6. What will migration and rollback look like?

A provider comparison is incomplete without a path from the current environment. For a node workload, the useful proposal includes the source data, sync strategy, observability, acceptance threshold, traffic or signing cutover and rollback window.

The safest first move is usually one representative workload. Build it beside the current service, synchronise it, test failure behaviour and move production only after it passes the agreed checks.

A 100-point provider-selection framework

To make the decision reproducible, score each shortlisted provider from 0 to 5 against the evidence your team has verified. Calculate each weighted result as score / 5 x weight, then add the six results. A missing answer scores zero until it is evidenced.

The weighting is designed for continuous, stateful blockchain services. A stateless marketing site would reasonably give storage and recovery less weight. An archive node may give it more. Change the weights before evaluating providers, not after seeing the scores.

Match the service shape to the team

Choose infrastructure as a service or a dedicated server when the team already operates Kubernetes, databases, monitoring and on-call, and wants direct control over the machine or VM.

Choose a managed Kubernetes control plane when the team wants to remove control-plane maintenance but is comfortable owning worker-node design, stateful storage, backups and application operations.

Choose a managed workload platform when the team wants one operator accountable for the infrastructure design, Kubernetes layer, workload sizing, monitoring and migration. This will usually cost more than an unmanaged server, so compare it with the staff time and operational risk it replaces rather than with the server line alone.

The shortlist of European cloud providers should follow that operating-model decision. Starting with logos and headline instance prices produces false comparisons between fundamentally different services.

Apply the comparison to a blockchain workload

LinkPool's managed RPC and validator services are the managed-workload option in this comparison. They run on Kubernetes on hardware LinkPool owns across three availability zones in Manchester, with workload-level resource choices. LP MKS, the self-service version of the same platform, is coming soon.

If you are comparing European cloud providers for an RPC node, validator, indexer or oracle service, send us the current CPU, memory, storage, egress and operational requirements. We will return a target architecture, workload sizing and a staged migration plan so you can compare the complete service rather than a headline compute rate.