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Outbyte Driver Updater FREEScan for outdated or missing drivers - takes under a minuteDriver Scan →Outbyte PC Repair FREEClear out junk files and repair common Windows errorsFree Scan →Migrate workload by workload, not by looking for a European cloud that duplicates AWS, Azure, or Google Cloud. First inventory applications, dependencies, data and contractual constraints; then map each component to a suitable destination, pilot the design, move in controlled waves, and keep a tested rollback path. A European data-center location, a provider’s corporate jurisdiction, who can access the service, and whether your configuration meets legal requirements are separate questions.
Decide what “European alternative” means for your organization
Before comparing providers, write down the reason for the move and the conditions a destination must meet. The goal might be data location, reduced dependence on a US-controlled provider, procurement policy, resilience, price, or a combination. Each goal leads to different checks.
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Specify whether “European” means data centers in a particular country or the EEA, a provider headquartered or incorporated in Europe, limits on access by particular entities, or all of these. A service hosted in Europe does not by itself settle ownership, operator access, international data transfers, or compliance. Those questions depend on the provider’s arrangements, the service, your data and configuration, and the rules that apply to your organization.
Define measurable success criteria before choosing a destination: acceptable downtime, recovery time and recovery point objectives (RTO and RPO), performance, data-location requirements, supported services, operational effort, and total migration and running cost. Without these, “like-for-like” comparisons can conceal major gaps.
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Inventory workloads, dependencies and data before choosing a provider
Build an inventory that covers the whole service, not just its virtual machines or primary database. AWS’s GDPR guidance notes that customers need to assess the services they use, the data they process and transfers that their configurations may entail; AWS also says that the customer is the one able to complete that configuration-specific assessment. Treat the guidance as a planning aid, not as legal advice or a finding that a particular deployment is compliant.
- Applications and dependencies: record owners, runtime, operating system, images, libraries, external APIs, scheduled jobs, queues and service-to-service calls.
- Data and movement: list databases, object and block storage, backups, logs, telemetry, support data, replicas and exports. Classify data, identify where it is stored and accessed, and trace transfers and subprocessors.
- Identity and security: document identity providers, service accounts, permissions, keys, secrets, certificates, encryption, audit logs and policy controls.
- Network and operations: map DNS, IP allowlists, firewalls, private links, routing, latency-sensitive paths, monitoring, alerting, incident procedures and deployment tooling.
- Service expectations: record criticality, availability needs, expected throughput, peak patterns, RTO, RPO and the downtime each business owner will accept.
- Commercial and licensing constraints: check software licenses, image formats, support terms, notice periods, export rights, termination terms and charges for data transfer or switching.
EU guidance on the free flow of non-personal data does not remove GDPR obligations for personal data. Keep those categories distinct, and assess the actual storage and access arrangements rather than assuming an EU region alone settles the question. See Your Europe’s guidance on storing and processing data in Europe.
Map each workload to a destination pattern
Compare capabilities at component level. A target may provide the same capability, a materially comparable service, a portable implementation, or only a substitute that requires redesign or more in-house operations. EU switching rules establish duties to facilitate switching; they do not make cloud products technically identical.
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| Workload or service pattern | What to assess at the destination | Likely migration work |
|---|---|---|
| Virtual machines using portable operating systems and standard images | Instance sizes, supported images, storage, networking, access controls and licensing | Image export or conversion, configuration changes, network remapping and performance testing |
| Containerized applications | Container runtime or orchestration, registry, load balancing, networking, secrets and persistent storage | Recreate platform configuration, move images and data, and validate deployment and scaling behavior |
| Managed databases, serverless functions or proprietary analytics | Feature coverage, APIs, extensions, compatibility, limits, backup and restore options | Potentially substantial application changes, data conversion, service replacement or rebuilding |
| Storage, queues and other managed components | Export formats, consistency guarantees, APIs, retention, throughput and integration support | Export/import or replication, client changes, and validation of ordering, metadata and recovery |
These are planning patterns, not guarantees about any particular service. Teams using portable virtual machines or containerized applications may have a different redesign burden from teams relying on managed databases, serverless functions, proprietary analytics or specialized identity services. The actual difference depends on the source and target products.
For each component, record the source feature, target feature, compatibility evidence, gaps, remediation owner and test required. Include unsupported APIs, provider-specific functions, identity and network differences, license portability, image formats, and the people and skills needed to operate services that are less managed.
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Compare providers against evidence, not a universal winner
There is no single European provider that can be assumed to replace every hyperscaler workload. Evaluate each candidate against your own service map and requirements:
- Workload fit, service coverage and the maturity of the features you need.
- Portability of data, images, APIs, configurations and infrastructure-as-code.
- Data-center locations, corporate structure, operator access and subprocessors.
- Security controls, certifications and audit evidence relevant to your obligations.
- Availability zones or equivalent resilience options, backups, restore processes and recovery targets.
- Network connectivity, latency, bandwidth, egress, and how the source and target can communicate during coexistence.
- Migration assistance, operational support, service-level terms, documentation and incident handling.
- Contract notice and termination terms, export scope, switching fees and other transfer costs.
- Total cost, including destination services, data movement, engineering, retraining and ongoing operations.
OVHcloud’s public-cloud reversibility policy explains why “exportable” does not always mean “drop-in”: some core features can be migrated, some provider implementations need adaptation, and provider-specific functions may not transfer as-is. The policy is dated 2021, so confirm current instructions and export behavior for the precise service you use. Its examples include exporting images and exporting and importing block-volume data: OVHcloud Public Cloud Reversibility Policy.
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For temporary operation across clouds, Google Cloud’s architecture guidance offers general patterns for analyzing connections and data transfer between providers. It is useful for thinking through network paths and coexistence, not as an endorsement or ranking of European destinations: Patterns for connecting other cloud service providers with Google Cloud.
Review data protection, contracts and switching rights
For each candidate, document controller and processor roles, processing terms, subprocessors, storage and access locations, transfer mechanisms where relevant, retention and deletion, audit evidence, and support access. Confirm what data and metadata can be exported, in what format, with what assistance, and how long export will take. AWS’s guidance on GDPR compliance on AWS can help frame configuration-specific questions, but it is not independent legal advice and does not determine compliance for your organization.
The EU Data Act applies from 12 September 2025 and covers data-processing services, including cloud and edge services. The European Commission describes switching provisions for different service types: for PaaS and SaaS, open interfaces and export in commonly used, machine-readable formats; for IaaS, measures intended to facilitate materially comparable outcomes for shared features when switching to the same type of service. These obligations do not ensure that every proprietary feature, application dependency or operational process will move unchanged. Read the European Commission’s Data Act explanation and the text of Regulation (EU) 2023/2854 for the applicable service and contract context.
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The Regulation’s relevant switching-contract provisions set a maximum transitional period of 30 calendar days. As of 4 October 2026, providers may still impose reduced switching charges during the transition period if directly linked to costs incurred in relation to switching. From 12 January 2027, switching charges, including data-egress switching charges, are prohibited under the Data Act. This does not mean a migration is cost-free: engineering, destination services and other costs remain, and the precise contract and service context matters. Review the Regulation and obtain legal advice where needed rather than treating this summary as a legal determination.
Prepare a landing zone and run a representative pilot
Set up the destination’s foundation before moving production workloads. Establish accounts or projects, identity and access controls, network segmentation, keys and secrets, logging and monitoring, backup, policy enforcement, infrastructure-as-code, and incident procedures. Define who owns each control and how it will be tested.
- Choose a lower-risk but representative workload. Select one with manageable dependencies that still exercises the important patterns: data transfer, identity, network paths, deployment, monitoring and recovery.
- Move a representative data set. Use a safe subset or appropriately protected copy where possible. Record transfer duration, throughput, integrity checks and any format or metadata changes.
- Test normal and failure behavior. Validate application functionality, latency, access, logging, scaling, backup and restore, support escalation, and recovery against the workload’s agreed targets.
- Compare results with acceptance criteria. Record defects, cost drivers, required redesign and operational workload. Do not expand the migration until owners accept the evidence or approve a specific remediation plan.
Move data and services in controlled waves
Plan the migration method separately for each service: export/import, image conversion, replication or rebuild. Estimate duration from measured data volume and available bandwidth, allowing for encryption, protocol overhead, throttling, retries and the time required to verify integrity. A calculation based only on nominal link speed is not a cutover plan.
Group workloads into waves based on dependencies, risk and business approval. Move foundations and shared services in the order applications need them; avoid migrating a database, identity system or network dependency in isolation if production workloads still depend on its source version. Keep the source authoritative until the target has been validated. Before cutover, decide how to freeze or synchronize writes so the two environments do not diverge.
During temporary coexistence, document which environment owns each service and data set, how traffic flows between providers, and which path is used for backups, logs and administration. Google Cloud’s cross-provider architecture patterns can help structure the connectivity review, but your latency, security and transfer design must be based on your actual topology.
Rehearse cutover, rollback and validation
For each wave, name the decision-maker, migration lead, application owner and communications contact. Rehearse the procedure in a non-production environment or controlled test, including credential changes, DNS or routing changes, queue handling, write consistency and monitoring.
- Define go/no-go checks: specify the required data-integrity results, application checks, latency or error thresholds, security controls and business sign-off.
- Set rollback triggers: describe which failures require rollback, who can call it and how quickly the decision must be made.
- Make rollback technically possible: preserve the source state and a safe route back for the agreed validation window. Identify how writes will be reconciled if the target has accepted transactions.
- Validate recovery: verify backup and restore on the destination rather than treating a successful copy as proof that recovery works.
- Control coexistence: limit dual-running to the approved validation window and apply the required access and security controls to both environments.
After cutover, compare real service behavior with the agreed acceptance criteria and have business owners accept the result before making the source environment unavailable. The validation window and rollback design should reflect the workload’s criticality and data consistency needs.
Retire the source environment deliberately
Once the target is accepted and rollback is no longer required, close out the old environment systematically:
- Confirm export completeness and retain the evidence and records required by your organization.
- Apply retention and deletion requirements to source data, snapshots, backups, logs and replicas; obtain deletion evidence where available and required.
- Revoke identities, keys, certificates, network access and automation that are no longer needed.
- Check final invoices, data-transfer charges, contractual notice periods and service termination dates.
- Update architecture diagrams, asset inventories, runbooks, incident procedures and recovery documentation.
- Keep an exit plan for the new environment and revisit its portability as services and contracts change.
Build a migration plan around workload evidence
A sound move is a sequence of tested decisions: define what European presence and control mean for your organization, inventory the current system, map every component to a verified target capability, settle legal and contract questions, pilot, migrate in waves, and retire only after validation. The right destination depends on your source services, countries, regulatory obligations, recovery needs and operating capacity; no provider can be selected responsibly from the label “European” alone.
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