European Cloud Alternatives to AWS and Google Cloud

If you’re paying hyperscaler prices for EU workloads while relying on U.S. contracts for GDPR, you’re doing it backward.

Most cloud comparison content still revolves around AWS, Azure, and Google Cloud – for example, TheCodeV’s 2025 comparison barely touches on European specialists. That leaves a gap for teams that care about EU data residency, predictable bills, and lower lock-in.

The timing is right to fill that gap. According to Global Market Insights, the Europe cloud computing market reached about USD 80.8B in 2024 and is projected to grow at 17.1% CAGR from 2025–2034. That’s a mature, rapidly expanding ecosystem of EU-headquartered providers, not a niche experiment.

This guide focuses on those European alternatives. You’ll see how they compare on cost, sovereignty, and lock-in, where they still lag hyperscalers, and how to execute a practical migration. We’ll also walk through concrete savings ranges, a lock-in scorecard, and a 90-day blueprint to move selected workloads off AWS or Google Cloud without betting the company on a risky big-bang cutover.

Why Look Beyond AWS and Google Cloud for European Workloads?

For EU-focused workloads, three forces are pushing teams to look past AWS and Google Cloud: cost, data sovereignty, and vendor lock-in.

1. Cost: Compute, Storage, and Egress

Analyses like TheCodeV’s 2025 comparison and CAST AI’s cloud pricing benchmarks tend to compare only the big four: AWS, Azure, Google Cloud, and Oracle. They do a good job of showing how much TCO is driven by compute, storage, and especially egress, but they almost entirely ignore European specialists.

When you add EU providers to the comparison, a few patterns emerge:

VM instances: General-purpose instances (for example, 4 vCPU / 8 GB RAM) from EU providers are often significantly cheaper than on AWS or Google Cloud EU regions.
Storage: Block and object storage per GB/month is typically lower, sometimes dramatically, especially for large-capacity tiers.
Egress fees: Hyperscalers monetize outbound traffic aggressively. Many EU providers use flatter, lower egress pricing or include generous free tiers, which matters if you serve a lot of EU traffic or move data between services.

CAST AI’s research underscores how storage and data transfer dominate many cloud bills. Those are precisely the levers where European clouds often undercut hyperscalers.

AWS and Google Cloud both offer EU regions and GDPR-aligned DPAs. But the legal story doesn’t end there. They are U.S.-headquartered companies subject to U.S. laws such as the CLOUD Act, which can create tension with strict interpretations of EU data-sovereignty requirements.

PCG’s 2025 cloud migration trends for the EU highlight sovereignty and compliance as major drivers for European cloud moves, not just cost. Many organisations – especially in public sector, healthcare, and finance – now explicitly prefer EU-headquartered providers with EU-only processing to simplify regulatory discussions and risk assessments.

European providers increasingly market:

EU or EEA-only data storage and processing.
Contracts governed by EU member state law.
Transparent sub-processor lists limited to European entities.

3. Vendor Lock-In: Proprietary Managed Services

On AWS and Google Cloud, the biggest lock-in drivers are not VMs or raw storage; they’re proprietary managed services and integrated ecosystems. Once you build deeply into BigQuery, Redshift, DynamoDB, Cloud Spanner, Lambda, or Cloud Functions, migrating becomes a multi-year project.

By contrast, many European clouds position themselves as open, standards-based alternatives. They lean on open-source and CNCF tooling rather than proprietary services. This gives you:

Standard databases (Postgres, MySQL) rather than proprietary engines.
Kubernetes based on upstream k8s, compatible with common tooling.
S3-compatible object storage APIs instead of custom APIs.

This also aligns with PCG’s observation that EU migrations are shifting toward architectures that optimize cost and sovereignty while preserving flexibility.

Sustainability: An Emerging Differentiator

Sustainability is an additional motivation. As a benchmark, AWS reports a PUE (Power Usage Effectiveness) of around 1.12 in EMEA regions, according to The New Stack’s coverage. Many European providers promote green data centers and renewable energy, but publish fewer hard PUE metrics.

For organisations with ESG targets, this can still be attractive: shorter data paths to EU users, local renewable energy contracts, and smaller regional footprints can all reduce environmental impact, even if the exact PUE comparison is not fully documented.

Setting Up the Rest of the Guide

Putting it together: moving suitable workloads to well-run European providers can cut TCO, reduce legal and compliance risk, and improve your exit options. The main trade-off is that you may give up some of the most advanced analytics and AI platforms – a gap covered later when we discuss insights from CloudNineDigital and how to build portable open-source alternatives.

Answer: Several EU-headquartered providers explicitly guarantee EU data residency and GDPR-compliant processing. Always verify via the Data Processing Agreement (DPA) and contract clauses on processing locations, sub-processors, and data export.

As SoftwareSeni’s comparison of European clouds notes, compliance and sovereignty are core differentiators versus U.S. hyperscalers. Similarly, Kitemetric’s 2025 list of top European cloud hosts spotlights providers built around GDPR-compliant hosting and explicit EU data residency.

What to Look for in Contracts and DPAs

To confidently claim EU data residency and GDPR compliance, scrutinise:

Data location clauses: Clear statement that customer data is stored and processed only in specified EU/EEA countries or regions, with explicit controls over where backups and replicas live.
Sub-processor list: Up-to-date, detailed list of sub-processors with locations restricted to the EU/EEA or clearly justified with appropriate safeguards (for example, Standard Contractual Clauses).
Standard Contractual Clauses (SCCs): Where any non-EU transfers exist, the DPA should include SCCs plus concrete technical and organisational measures to mitigate risk.
Audit and logging rights: Ability to access logs, receive audit reports (SOC 2, ISO certifications), and, for larger customers, negotiate audit rights or independent assessment access.
Incident notification SLAs: Timelines and processes for notifying you of data breaches or security incidents, plus remediation obligations.
Data export guarantees: Clear wording on how and in what formats you can export data on termination (snapshots, file formats, API exports), including timeframes and any paid assistance.

Key EU-Focused Providers to Know

Several providers covered in Kitemetric’s top 10 list and other sources stand out for EU data centers and GDPR-first positioning:

Hetzner – German-headquartered, with data centers in Germany and Finland and a strong focus on cost-effective EU hosting and clear data-location options.
OVHcloud – France-based, with multiple EU data centers; markets itself heavily on data sovereignty and GDPR compliance.
Scaleway – Part of the Iliad group (France), offers regions in France and elsewhere in Europe, with GDPR and sovereignty at the core of its messaging.
UpCloud – Finland-based cloud provider with EU data centers and EU-law-governed contracts.
CloudSigma – Swiss-founded with EU locations; emphasises compliance, data privacy, and customer control.
Open Telekom Cloud – Operated by Deutsche Telekom in Germany; designed to align closely with German and EU regulatory requirements.

These providers explicitly operate EU data centers and present GDPR compliance and sovereignty as core value propositions. They are natural candidates for organisations that must keep data under EU jurisdiction.

AWS and Google Cloud, by contrast, do offer EU regions and GDPR-oriented DPAs, but ultimate corporate jurisdiction and some sub-processing chains remain tied to the U.S. For organisations with the strictest sovereignty interpretations, that is exactly why EU-headquartered alternatives are attractive.

Cost Reality Check: How European Clouds Compare to AWS and Google

CAST AI’s 2025 cloud pricing comparison benchmarks typical vCPU/GB-hour and storage costs across AWS, Azure, Google Cloud, and Oracle. While it doesn’t include EU-only providers, it clearly shows how much overall TCO is driven by compute, storage, and data transfer – the very areas where EU providers often price more aggressively.

Where European Providers Tend to Undercut Hyperscalers

VM instances: General-purpose VMs (for example, 4 vCPU / 8 GB RAM) are often substantially cheaper on platforms like Hetzner, OVHcloud, or Scaleway compared with AWS t3/t4g or Google e2/n2 instances in EU regions.
Block and object storage: Per-GB storage costs for SSD/HDD volumes and object storage are typically lower; some EU providers offer simple flat pricing instead of tiered structures.
Network egress: Many EU providers set lower per-GB egress fees, sometimes with generous free outbound within Europe or fixed egress packages.

A Representative Workload Comparison (Conceptual)

Imagine a typical SME workload:

3 × 4 vCPU / 8 GB RAM always-on VMs.
2 TB of block storage.
5 TB/month outbound egress to EU users.
1 managed PostgreSQL database.

Conceptually, monthly costs might look like this (directionally, not as a precise quote):

AWS EU region: VM hours plus EBS volumes and S3, with 5 TB/month egress charged on a tiered schedule, plus managed RDS. Egress and storage can easily account for a large share of the bill.
Google Cloud EU region: Similar pattern with e2/n2 VMs, Persistent Disks, GCS storage, and per-GB egress charges.
Typical EU provider (for example, Hetzner/OVHcloud/Scaleway): Cheaper VMs and storage, with simpler or lower egress charges. Managed databases may be less feature-rich but typically cost less than RDS/Cloud SQL equivalents.

CAST AI’s findings on hyperscalers show that once you factor in egress and storage, the headline cost of compute is only part of the story. EU providers tend to be cheaper exactly on those high-impact components.

Hidden Costs to Watch

When comparing costs, don’t overlook:

Premium support: Hyperscalers’ business/enterprise support plans can add a significant percentage to monthly costs. EU providers often include more support in base plans or have simpler add-ons.
Proprietary managed services: BigQuery, Redshift, Cloud Spanner, and similar services can be expensive at scale and difficult to move away from.
Cross-region replication: Multi-region architectures on hyperscalers can incur storage and additional data-transfer charges.
Inter-service data transfer: Data moving between services (for example, EC2 to S3, or GKE to Cloud Storage) may incur extra costs, whereas EU providers often bundle intra-region traffic.

Smaller European providers usually favour straightforward pricing with fewer line items. That can reduce both total cost and billing complexity.

Observed Savings Ranges

Anecdotally, many EU SMBs and mid-market companies report 20–50% infrastructure savings after moving from hyperscalers to European providers, especially for:

Always-on workloads that haven’t been aggressively rightsized yet.
Storage-heavy workloads (backups, logs, media, analytics data).
Traffic-heavy workloads with high outbound bandwidth.

The rapid growth of the European cloud market at 17.1% CAGR, as reported by Global Market Insights, supports the idea that organisations are finding these cost advantages compelling and scalable.

How Much Can You Save by Moving from AWS or Google Cloud to European Providers?

Answer: For compute- and storage-heavy EU workloads, 20–60% savings are realistic, especially when combined with rightsizing. Heavy use of advanced managed services may reduce net savings.

Three-Year TCO Comparison (Conceptual)

Consider a 3-year TCO view for a typical SME running web apps, APIs, and databases in an EU region.

AWS/Google Cloud baseline:
- Compute and storage costs aligned with CAST AI’s benchmarks.
- Steady or growing egress charges as customer traffic increases.
- Optional but common: business-level support plans.
EU provider scenario:
- Lower unit prices for VMs, storage, and egress.
- Upfront migration cost: engineering time, possible professional services, and temporary dual-running during cutover.
- Fewer paid proprietary services, more open-source components.

Over three years, lower ongoing infrastructure and egress costs typically outweigh the one-off migration spend, particularly for steady workloads.

Where the Biggest Savings Usually Come From

Always-on VMs: If auto-scaling and rightsizing haven’t been aggressively applied, moving to cheaper VMs on EU providers while also rightsizing can double the savings effect.
High-storage workloads: Backups, logs, media libraries, and analytics data can become far cheaper on low-cost object storage and block storage.
High egress workloads: Content-heavy SaaS, media streaming, and analytics exports benefit from cheaper, simpler egress models.

PCG’s 2025 EU migration trends emphasize that cost-optimization and rightsizing are now standard parts of migration projects. Combining a shift to an EU provider with optimisation can amplify savings well beyond just a price-per-VM comparison.

Payback Periods for Migration Effort

For lift-and-shift migrations with modest refactoring, payback periods commonly fall in the 6–18 month range, especially when:

You migrate workloads where hyperscaler services are largely IaaS (VMs, storage, RDS/Cloud SQL) rather than deeply proprietary.
You avoid over-engineering and focus first on the most cost-inefficient workloads.

Exact savings depend on your specific stack. Export AWS Cost and Usage Reports or Google Cloud billing data, model 1–2 realistic alternative scenarios on shortlisted EU providers, and use that to prioritise workloads.

Lock-In Risk: How European Clouds Stack Up Against AWS and GCP

Answer: EU providers that prioritise open APIs, upstream Kubernetes, standard Postgres/MySQL, and easy data export present the lowest lock-in risk. Many European clouds explicitly use open-source stacks as a differentiator.

SoftwareSeni’s comparison of European clouds and open-source alternatives highlights how EU providers lean on OSS to compete with proprietary U.S. platforms. That has major implications for portability.

A Simple Lock-In Rubric

Use this rubric when evaluating any provider:

APIs:
- Prefer standard or widely adopted APIs (for example, S3-compatible object storage) over proprietary ones.
- Look for clear documentation on how to export data through standard mechanisms.
Kubernetes:
- Managed Kubernetes should be based on upstream k8s, with support for standard tooling: kubectl, Helm, Argo CD, etc.
- Beware heavy reliance on provider-specific ingress controllers or service meshes that don’t migrate easily.
Databases:
- Stick to Postgres, MySQL, or other OSS databases with standard wire protocols.
- Ensure logical and physical export options exist (dump/restore, snapshot-based migration).
- Avoid proprietary extensions that tie you to one platform.
Data portability:
- VM image exports (RAW, VHD, QCOW2).
- Snapshot export/import mechanisms.
- Bulk object storage export over standard protocols.
Contractual exit clauses:
- Defined data export timelines and formats on termination.
- Options for paid assistance with migration off the platform.

How This Differs from AWS and Google Cloud

AWS and Google Cloud dramatically increase lock-in through their proprietary analytics and serverless ecosystems:

AWS: Redshift, DynamoDB, Athena, Lambda, Step Functions, and a wide range of tightly integrated services.
Google Cloud: BigQuery, Spanner, Vertex AI, Cloud Functions, and more.

As CloudNineDigital notes, European providers do not yet match these fully hosted analytics stacks. This can feel like a limitation, but it also encourages building on portable open-source analytics, which is easier to move later.

In practice, EU providers that stick to plain IaaS, CNCF-based Kubernetes, and open-source databases usually offer the best long-term exit options.

Feature Gaps: Where European Providers Still Lag Hyperscalers

European clouds are strong on cost, sovereignty, and openness, but they do not yet match hyperscalers in every domain.

Key Areas Where EU Clouds Lag

CloudNineDigital’s 2025 guide outlines the most visible gaps:

Fully managed big-data analytics warehouses: No direct equivalents to BigQuery, Redshift, or Snowflake with fully serverless, auto-scaling query engines.
Broad AI/ML platforms: Hyperscalers offer integrated ML training, feature stores, AutoML, and end-to-end pipelines that most EU providers haven’t replicated.
Dozens of niche managed services: IoT platforms, global pub/sub messaging, media transcoding, advanced serverless stacks, and more are usually thinner or absent on EU platforms.

How to Architect Around These Gaps

Open-source analytics stacks:
- Deploy ClickHouse, Trino, Apache Spark, or similar tools on EU infrastructure for analytics workloads.
- Use object storage as the central data lake and layer query engines on top.
Vendor-neutral data tooling:
- Adopt tools like Airbyte for ELT, dbt for transformations, and Kafka or Redpanda for event streaming.
- Choose observability stacks such as Prometheus, Grafana, Loki, and OpenTelemetry instead of proprietary metrics platforms.
Specialised SaaS for analytics:
- Keep raw data in EU object storage and feed anonymised or aggregated data into third-party analytics SaaS if needed.

SoftwareSeni’s overview of open-source alternatives demonstrates how OSS can replace many hyperscaler services without recreating lock-in. The trade-off is more DIY or managed OSS via partners, instead of one-vendor convenience.

In return, you retain sovereignty, cost control, and the ability to move analytics and ML workloads across EU providers if needed.

Egress and Network Fees: How AWS and Google Compare to European Clouds

Answer: AWS and Google Cloud often charge higher, tiered per-GB egress fees and additional inter-service transfer costs. Many EU providers counter with lower, flatter egress pricing and in some cases free intra-Europe traffic.

CAST AI’s cloud pricing analysis shows that storage and data transfer significantly impact total cloud spend on AWS and Google Cloud. This makes egress a critical dimension when comparing with European providers.

The Hyperscaler Egress Pattern

Inbound data: Usually free or very cheap.
Outbound data: Charged per GB with sliding tiers; the more you send, the more you pay, though the per-GB price may decrease at scale.
Cross-region and inter-service traffic: Additional per-GB fees for data moving between regions and sometimes between services within the same region.

This model can be costly for media-heavy SaaS, content delivery, or data-sharing platforms.

The EU Provider Approach

Many providers covered by Kitemetric’s top 10 list advertise:

Lower per-GB egress costs overall.
Simplified, flatter pricing that avoids dozens of transfer line items.
Free or discounted intra-EU traffic between their own regions.

Traffic Patterns to Evaluate

EU-facing web apps: High HTTP(S) egress to EU users. Even moderate reductions in per-GB egress can lead to meaningful savings.
Global SaaS from EU regions: Outbound traffic to non-EU regions needs careful modeling of both provider egress costs and latency trade-offs.
Backup and DR traffic: Replication between EU regions or from cloud to on-prem may be cheaper with providers that price intra-EU bandwidth more gently.

Model your monthly outbound GB – including inter-service traffic where possible – and compare explicit egress pricing across 2–3 EU providers and AWS/GCP. This is often where the largest percentage savings appear.

Finally, remember that CDN choice matters: a third-party CDN can shift where egress is charged (cloud to CDN vs CDN to user), which may change the optimal provider mix.

Shortlisted European Alternatives to AWS and Google Cloud

Kitemetric’s 2025 ranking of European cloud hosts highlights providers that combine cost efficiency, GDPR compliance, and solid performance. Below are mini-profiles of six key players relevant for EU-focused workloads.

Hetzner

Headquarters and locations: Based in Germany, with major data centers in Germany and Finland. Strong European footprint with clear region options.

EU data residency and GDPR: Hetzner offers EU-only data locations and contracts under EU law, with GDPR-focused documentation. This aligns with the compliance criteria emphasised by Kitemetric.

Core services: Virtual and dedicated servers, object storage, block storage, load balancers, managed databases (including Postgres, MySQL), and Kubernetes-like orchestration through their cloud offerings.

Pricing position: Generally cheaper than AWS and Google Cloud for VMs and storage when compared against hyperscaler baselines like those in CAST AI’s pricing research.

Compliance posture: GDPR-focused, with common certifications such as ISO 27001 for many facilities. While AWS/Azure/GCP may have broader certification portfolios, Hetzner offers what most SMEs and many enterprises need.

Lock-in risk: Low. Services are based on standard components (Linux VMs, standard databases, S3-compatible object storage), making workloads relatively easy to move.

Best-fit use cases: Cost-conscious startups and SMEs, SaaS targeting EU customers, and general-purpose hosting where sovereignty and price matter more than niche managed services.

OVHcloud

Headquarters and locations: Headquartered in France with data centers across multiple EU countries.

EU data residency and GDPR: Markets data sovereignty heavily, with explicit EU data locations and GDPR-compliant agreements. Frequently positioned as a European alternative to U.S. hyperscalers.

Core services: Public cloud (VMs), managed Kubernetes, managed databases, object storage, block storage, bare metal, and specialised solutions.

Pricing position: Typically cheaper than AWS/GCP for compute and storage; competitive for bandwidth. Egress fees are often lower and simpler than hyperscalers’ tiered models.

Compliance posture: ISO 27001 and similar certifications, along with GDPR-oriented contractual terms. Hyperscalers may still lead in breadth of certifications, but OVHcloud aligns well with EU regulatory expectations as outlined in comparisons like TheCodeV’s hyperscaler overview.

Lock-in risk: Low to medium. OVHcloud supports open standards (Kubernetes, S3-compatible storage, standard databases) but also offers higher-level services. Staying with the OSS-focused stack keeps lock-in low.

Best-fit use cases: SMEs and mid-market enterprises looking for a broad EU cloud portfolio, including managed Kubernetes and databases, with strong cost control.

Scaleway

Headquarters and locations: French provider with multiple regions in France and other European locations.

EU data residency and GDPR: Emphasises European data sovereignty and GDPR compliance, with clear EU region choices and data-processing terms.

Core services: Instances (VMs), managed Kubernetes (Kapsule), managed databases, object and block storage, and additional developer-friendly tooling.

Pricing position: Generally cheaper than AWS/GCP for common instance types and storage, particularly for EU workloads with predictable traffic.

Compliance posture: Strong GDPR narrative with relevant certifications for most customer needs. While large hyperscalers still dominate at the very high end of compliance frameworks, Scaleway’s posture is robust for typical EU organisations.

Lock-in risk: Low. Heavy use of upstream Kubernetes, OSS databases, and standard APIs provides good portability in line with SoftwareSeni’s open-source emphasis.

Best-fit use cases: Startups and SaaS businesses building cloud-native stacks on Kubernetes and managed databases, prioritising EU sovereignty and developer experience.

UpCloud

Headquarters and locations: Based in Finland, with data centers across Europe and additional global locations.

EU data residency and GDPR: Provides EU-region choices and GDPR-aligned contracts, with an emphasis on performance and control.

Core services: High-performance VMs, block storage, object storage, managed databases, and some orchestration tooling suitable for building containerised workloads.

Pricing position: Typically cheaper than hyperscalers for comparable VM sizes and storage, particularly in EU regions.

Compliance posture: GDPR-aware with standard security certifications. For many SMEs, this is sufficient; highly regulated sectors may still layer on additional controls and audits.

Lock-in risk: Low. Focus on standard infrastructure services and OSS-friendly tooling means exit options remain open.

Best-fit use cases: Performance-sensitive web apps and APIs for EU users, cost-conscious SaaS workloads, and small enterprises consolidating EU hosting.

CloudSigma

Headquarters and locations: Swiss-origin provider with multiple European data centers.

EU data residency and GDPR: Emphasises privacy, customer control, and compliance, with the ability to keep data within chosen EU regions.

Core services: Highly configurable VMs, block storage, object storage, and networking options; suitable for custom architectures.

Pricing position: Flexible pricing often below comparable AWS/GCP EU instances and storage, especially when tuned to specific CPU/RAM/storage combinations.

Compliance posture: Strong focus on data protection and transparency; ISO certifications and privacy-oriented policies appeal to customers with heightened sensitivity to data control.

Lock-in risk: Low. Infrastructure-oriented services and standard formats (VM images, storage protocols) simplify migration.

Best-fit use cases: Organisations needing fine-grained control over infrastructure, including custom VM configs and privacy-focused deployments.

Open Telekom Cloud

Headquarters and locations: Operated by Deutsche Telekom, with primary regions in Germany and additional EU locations.

EU data residency and GDPR: Designed specifically with German and EU regulations in mind, with strong messaging around data sovereignty, EU jurisdiction, and enterprise-grade compliance.

Core services: IaaS (VMs, storage), managed Kubernetes, managed databases, object storage, and various PaaS offerings that integrate with enterprise networks.

Pricing position: Competitive with hyperscalers for EU workloads, particularly when factoring in reduced egress and compliance overheads. Not always the absolute cheapest, but strong value for regulated use cases.

Compliance posture: Extensive certifications and alignment with German public-sector and enterprise requirements, often exceeding typical EU SME needs. This makes it especially attractive where regulators scrutinise cloud choices closely.

Lock-in risk: Medium-low. Uses open standards (Kubernetes, standard databases, OSS stacks) but also offers more integrated services for large enterprises; careful architectural choices can keep portability high.

Best-fit use cases: Public sector, healthcare, finance, and other regulated industries needing strong alignment with German/EU rules and a trusted telecom-grade provider.

Given that the European cloud market is already around USD 80.8B and growing at 17.1% CAGR through 2034 (per Global Market Insights), features, ecosystems, and partner offerings for these providers are likely to mature quickly over the next decade.

Migration Pathways: How to Move VMs, Containers and Databases with Minimal Downtime

Answer: Plan: assess workloads, build a parallel environment on an EU cloud, replicate data (VM images, containers, databases), run in sync, then execute a controlled DNS/load-balancer cutover during a short maintenance window.

PCG’s 10 EU migration trends highlight growing use of automation, AI-assisted optimisation, and phased strategies instead of big-bang moves. Reflect that in your approach: small waves, clear rollback paths, and continuous optimisation.

VM Migrations

Export VM images:
- From AWS, export AMIs as RAW/VHD images; from Google Cloud, export disk images similarly.
- Import these images into your EU provider’s image library if supported, or build fresh VMs and reprovision via configuration management.
Sync disks and data:
- Use rsync, block-level replication tools, or backups/restores to synchronise data volumes from AWS/GCP to the EU provider.
- Keep incremental sync running until cutover to minimise delta.
Cutover planning:
- Schedule a maintenance window.
- Stop writes on the old VM, perform a final sync, and then bring up services on the EU VM.
- Update DNS and load balancers to point to the new endpoints.

Container Migrations

Map clusters:
- Move from EKS/GKE to a managed Kubernetes service or self-managed cluster on your EU provider.
- Because they usually run upstream Kubernetes, your manifests and Helm charts should transfer with minimal changes.
Maintain portability:
- Follow SoftwareSeni’s open-source approach: use upstream Kubernetes APIs, standard ingress controllers, and vendor-neutral observability and CI/CD.
Parallel cluster strategy:
- Build a parallel cluster in the EU cloud.
- Deploy applications and connect to a replicated database.
- Test thoroughly (latency, throughput, failure modes), then switch traffic via DNS or a global load balancer.

Database Migrations

Logical or physical replication:
- For Postgres: use logical replication or streaming replication from AWS RDS/Cloud SQL to a self-managed or managed Postgres instance on the EU provider.
- For MySQL and others: use native replication mechanisms or third-party tools.
Low-downtime pattern:
- Take a base backup and restore it into the target database.
- Set up continuous replication of changes.
- At cutover, put the source in read-only mode, apply the final replication batch, redirect applications, and then resume writes on the new database.

For mid-sized workloads, these migrations are typically measured in days to a few weeks per application, not months, especially when using iterative, staged rollouts as noted by PCG.

Do not forget supporting systems: IAM, logging/monitoring, secrets management, and backup policies must be recreated or integrated in the new environment.

Migration Checklist

Pre-migration assessment: Inventory workloads, dependencies, data volumes, and compliance constraints.
Pilot: Choose a low-risk application, execute end-to-end migration, and refine runbooks.
Full migration waves: Group services logically, migrate and cut over in controlled batches.
Post-migration optimisation: Rightsize instances, tune databases, validate backup/DR, and clean up unused resources on the old platform.

Legal & Contract Checklist for EU Data Residency

Before committing to any cloud provider handling EU personal data, insist on the following contractual and policy elements:

Data locations and residency control:
- Explicit statement of available data center countries/regions.
- Assurance that your data will not be moved outside designated regions without your consent.
DPA aligned with GDPR:
- Clear description of roles (controller vs processor).
- Documented technical and organisational security measures.
- Support for data subject rights (access, rectification, erasure, etc.).
Sub-processor transparency:
- Up-to-date list of sub-processors with their locations.
- Preference for EU/EEA sub-processors, or robust safeguards (SCCs, additional measures) for any non-EU entities.
Data access, logging, and audits:
- Granular logging of administrative and support access.
- Access to audit reports (ISO 27001, SOC 2, etc.).
- For larger contracts, negotiation of audit and inspection rights.
Incident response SLAs:
- Notification timelines for security incidents and data breaches.
- Cooperation and remediation obligations.
Data export and termination terms:
- Right to export data in standard formats within a defined timeframe.
- Obligations for deletion and certification of deletion.
- Optional paid assistance for complex migrations.

SoftwareSeni’s comparison notes that European providers often foreground these elements as differentiators versus U.S.-based platforms. Kitemetric’s 2025 list similarly highlights hosts that make GDPR and compliance explicit in their marketing, making them strong candidates for initial evaluations.

While AWS and Google Cloud both offer GDPR-compliant DPAs and EU regions, some regulators and risk-averse enterprises still favour EU-headquartered providers to minimise exposure to non-EU legal regimes. If you operate in healthcare, finance, or public sector, involve legal and compliance teams early, and document risk assessments thoroughly when choosing between EU-only and global providers.

Designing a Sovereign, Low-Lock-In Architecture on European Clouds

Moving to an EU provider is only half the story. To stay portable and future-proof, you need an architecture that minimises provider-specific dependencies.

Core Architectural Principles

Prefer open-source databases:
- Use Postgres or MySQL/MariaDB instead of proprietary engines.
- Standardise backups and replication methods so they can move between platforms.
Use S3-compatible object storage APIs:
- Pick providers that offer S3-compatible endpoints where possible.
- Design applications to rely on S3 semantics rather than unique APIs.
Base containers on upstream Kubernetes:
- Deploy workloads on managed or self-managed Kubernetes that follows upstream APIs closely.
- Avoid proprietary service meshes, ingress, or runtimes when portable alternatives exist.
Infra-as-code with portable modules:
- Use Terraform, Pulumi, or similar tools.
- Structure modules so swapping providers affects only a limited layer of code.

SoftwareSeni’s guidance on using open-source alternatives to U.S. platforms is a good reference: rely on OSS building blocks for databases, messaging, analytics, and observability to reduce lock-in.

Designing Portable Analytics

CloudNineDigital points out that EU providers lack fully hosted equivalents to BigQuery, Redshift, or Snowflake. Use this as a reason to standardise on portable components:

Data lake on object storage: Keep raw and curated data in EU object storage.
Query engines: Use ClickHouse, Trino, or Spark clusters that can be redeployed on another EU provider if needed.
Pipeline tooling: Airbyte, dbt, and OSS orchestration tools instead of proprietary data integration services.

Multi-Cloud and Hybrid Patterns

Sovereign core on EU providers:
- Host PII and core transactional systems on European clouds.
- Ensure backups and DR replicas stay within EU regions or trusted partners.
Specialised workloads on hyperscalers:
- For global CDN, advanced ML training, or niche managed services, use AWS/GCP carefully.
- Keep data anonymised or pseudonymised where possible and minimise long-term storage of PII outside the EU.

Observability and Security Best Practices

Centralise logs in an EU-based SIEM or logging platform.
Use EU-based security monitoring and incident response providers if outsourcing.
Replicate backups across at least two EU regions or providers for resilience.
Ensure encryption keys and KMS/HSM services follow EU residency and access-control requirements.

PCG’s trend report shows EU businesses increasingly prioritise resilience, sovereignty, and sustainability. A multi-region, multi-provider EU strategy aligns well with that direction.

Reference “Sovereign but Flexible” Architecture

Core apps and databases on an EU cloud (Hetzner/OVHcloud/Scaleway/Open Telekom Cloud).
Container orchestration via upstream Kubernetes.
Data lake on S3-compatible object storage, with ClickHouse/Trino for analytics.
Infra-as-code (Terraform) and GitOps pipelines for repeatable deployments across providers.
Backups replicated to a second EU provider or region; logging centralised in an EU SIEM.

Case-Style Scenarios: SME vs Regulated Enterprise

Scenario 1 – SaaS SME

Starting point: A SaaS start-up runs entirely on AWS in eu-west-1 (Ireland):

6–10 always-on EC2 instances.
RDS Postgres as the primary database.
S3 for file uploads and backups.
10 TB/month egress serving EU users.

Motivations: Costs are rising, egress fees are unpredictable, and the founders are concerned about future changes in EU–US data-transfer rules, though they face no immediate regulatory mandate.

Strategy: They shortlist two EU providers from Kitemetric’s list (for example, Hetzner and Scaleway) and choose one with strong Kubernetes and managed Postgres offerings. Following SoftwareSeni’s open-source guidance, they:

Containerise their application and deploy on managed Kubernetes.
Move to a managed Postgres service using logical replication from RDS.
Migrate S3 data to S3-compatible object storage.

Outcome: Over a 3–9 month migration window, they achieve an estimated 30–50% infrastructure cost reduction, far more predictable egress costs, and a significantly lower lock-in profile thanks to open-source components.

Scenario 2 – Regulated Enterprise

Starting point: A European healthcare or finance organisation has a hybrid environment:

Critical core systems and PII on-premises.
Additional workloads and analytics on AWS and Google Cloud EU regions.
Increasing regulatory pressure to demonstrate EU jurisdiction over sensitive data.

Strategy: They design a sovereign core on an EU provider such as Open Telekom Cloud or another Kitemetric-listed host with strong compliance credentials:

Move all PII and transactional systems to EU-based IaaS and managed databases.
Build an OSS analytics stack (for example, data lake + ClickHouse/Trino) on EU infrastructure, informed by CloudNineDigital’s recommendations.
Keep limited analytics workloads on hyperscalers for specialised ML, but only with anonymised or heavily aggregated data.

Compliance approach: Legal and compliance teams drive DPA negotiations, sub-processor reviews, and risk assessments, echoing the governance patterns described in PCG’s migration trends report.

Outcome: Over a 6–12 month phased migration, they gain a clearly sovereign data core with multi-region EU DR, while preserving access to selected global-scale services under strict controls.

Step-by-Step Blueprint: From AWS/GCP to a European Cloud in 90 Days

Use this 90-day blueprint as a starting point for a phased migration. Adjust timelines based on complexity and regulatory requirements.

Phase 1 – Assessment (Week 1–2)

Inventory workloads, data stores, dependencies, and compliance constraints.
Export AWS/GCP billing data and identify the top cost drivers.
Clarify objectives: cost reduction, sovereignty, lock-in mitigation, or all three.
Shortlist 2–3 European providers using sources like Kitemetric’s top 10 list.

Phase 2 – Design (Week 3–4)

Define target architecture using open-source building blocks in line with SoftwareSeni’s guidance.
Decide on Kubernetes vs VMs for each workload.
Design data topology: databases, object storage, analytics stack.
Engage legal/security teams to review DPAs, sub-processors, and compliance obligations.
Select migration tools (image export, replication tools, database migration utilities).

Phase 3 – Pilot (Week 5–8)

Choose one non-critical service (for example, a stateless app and its database).
Set up the EU environment, including IAM, networking, and observability.
Run a full migration cycle: sync data, stand up the app, and perform a phased cutover with DNS changes.
Measure performance, downtime, and operational overhead.
Refine migration runbooks based on lessons learned.

Phase 4 – Full Migration (Week 9–12)

Group remaining workloads by dependency and criticality.
Migrate in waves, ensuring each cutover has monitoring and rollback plans.
Integrate AI-assisted or automated rightsizing and optimisation tools, echoing PCG’s emphasis on optimisation-driven migrations.
Gradually decommission old AWS/GCP resources to avoid double-paying longer than necessary.
Update documentation, runbooks, and incident response playbooks for the new environment.

Larger enterprises may stretch this blueprint over 6–12 months, but the same phased principles and open-source-first patterns apply. Include legal, security, finance, and operations stakeholders from the start when sovereignty is a core driver.

Conclusion: Build a Future-Proof EU Cloud Strategy

The European cloud ecosystem is no longer an afterthought. With a market size of around USD 80.8B in 2024 and forecast 17.1% CAGR through 2034, according to Global Market Insights, EU providers are becoming central to many organisations’ strategies.

For EU workloads, moving beyond AWS and Google Cloud can deliver:

Substantial cost savings, especially on compute, storage, and egress.
Stronger data sovereignty and simpler compliance narratives.
Lower long-term lock-in when you favour open-source and open standards.

The trade-offs are real: hyperscalers still lead in managed analytics, AI/ML, and niche services. But as CloudNineDigital and SoftwareSeni highlight, those gaps can be bridged with open-source stacks, specialised SaaS, and thoughtful hybrid designs.

Next steps:

Export your current AWS/GCP costs and resource inventory.
Model 1–2 realistic scenarios on shortlisted EU providers.
Launch a small pilot workload on an EU cloud in the next 30 days to validate performance, pricing, and compliance claims in your own context.

From there, you can scale migration systematically, confident that your EU cloud strategy is both sovereign and future-proof.

90-Day Migration Blueprint (No-Table Summary)

Days 1–7

Clarify primary objectives: cost savings, sovereignty, and/or lock-in reduction.
Shortlist 2–3 European providers using Kitemetric’s top 10 as a starting point.
Engage legal and compliance teams to review jurisdiction and DPA needs.

Days 8–21

Inventory workloads and map technical and data dependencies.
Export AWS/GCP billing data to identify top cost drivers.
Design a target architecture that leans on open-source building blocks as recommended by SoftwareSeni.

Days 22–49

Implement a pilot migration for a non-critical workload (VM or container plus database).
Use phased cutover patterns (parallel running, DNS switch) to minimise downtime.
Incorporate automation and optimisation techniques aligned with PCG’s migration trends.

Days 50–90

Roll out migrations in waves, prioritising high-cost, low-lock-in workloads.
Switch production traffic and monitor performance closely.
Decommission old resources and refine cost optimisation using CAST AI-style pricing insights to ensure sustained savings.