Scaleway and Google Cloud Platform (GCP) both offer resilient public cloud services, but choices hinge on technical trade-offs, compliance needs and total cost of ownership. This guide compares Scaleway vs Google Cloud Platform with 2025–2026 updated benchmarks, reproducible test outlines, real TCO scenarios and migration guidance targeted at teams in England and the EU. It highlights where Scaleway’s European-first posture and bare‑metal/ARM options can reduce costs and simplify data residency, and where GCP’s global services and analytics stack deliver scale and managed capabilities.
Quick executive comparison: one-line verdicts
- Performance per €/£: Scaleway often wins for predictable compute and bare‑metal workloads.
- Global scale and analytics: GCP leads on managed data services, AI/ML tooling and multi-region networking.
- Data residency & compliance: Scaleway’s EU focus simplifies GDPR residency; GCP has broader certifications.
- Developer experience: GCP offers mature enterprise tooling; Scaleway attracts teams needing ARM/bare‑metal and simpler pricing.
Pricing and TCO: concrete scenarios and examples
- Workload types: single web VM, Kubernetes cluster (3 nodes), storage-heavy object + backups, database-heavy transactional app.
- Pricing sources validated: Scaleway Pricing and Google Cloud Pricing (checked Jan 2026).
- Assumptions: 730 hours/month, typical egress patterns (1 TB/month), sustained usage where discounts apply.
Example TCO snapshots (2026, England EUR/GBP approximations)
- Single general-purpose VM (4 vCPU, 16 GB RAM):
- Scaleway: ~€24–€35/month for ARM/standard depending on commitment.
- GCP (n2-standard equivalent): ~€45–€70/month before sustained use discounts.
- Kubernetes (3-node, manged control plane):
- Scaleway Managed Kubernetes + instances: lower node cost, minimal control plane fee.
- GCP GKE: higher node cost but strong automation and Autopilot options; add regional control-plane and networking fees.
- Storage and egress: Scaleway offers competitive object storage and lower baseline egress in EU regions; GCP provides nearline/archival tiers and richer lifecycle features but can incur higher egress costs on cross-region transfers.
Practical takeaway: For sustained single‑region compute and predictable workloads, Scaleway provides measurable savings; for large-scale analytics, GCP’s managed services can justify higher unit cost.
Detailed technical comparison
- Scaleway: offers dedicated bare‑metal servers, a rich ARM instance catalog and custom CPU sizing beneficial for high‑throughput or specialised builds. See Scaleway servers.
- GCP: focuses on x86 VMs (e.g., N2, C2) and expanding Tau/Graviton parity via partnerships, plus sole‑tenant nodes for tenancy needs. See GCP Compute.
Use cases:
- ARM/bare‑metal: containerised CI runners, high‑density web workloads, edge appliances.
- GCP VMs: enterprise apps requiring integrated IAM, Identity-Aware Proxy, and easy scaling with managed instance groups.
Managed services: databases, analytics and AI
- Managed DBs: Scaleway offers managed PostgreSQL/MySQL and object storage; pricing is streamlined. GCP provides Cloud SQL, Spanner and Memorystore with global scale and strong SLA.
- Analytics: GCP’s BigQuery remains a differentiator for petabyte analytics and serverless querying. For teams prioritising cost over big-data features, open-source ETL on Scaleway can be more economical.
- AI/ML: GCP has Vertex AI and TPU access. Scaleway is building ML tooling but currently targets cost‑sensitive inference and training on dedicated servers.
Networking, egress and region strategy
- Egress: GCP uses per‑GB egress tiers that can add up for cross‑region traffic. Scaleway often provides cheaper intra‑EU egress; always validate numbers for the expected traffic pattern.
- Private networking: both supply VPCs, peering and load balancers. GCP’s global VPC and premium network backbone are advantageous for low-latency cross-region services.
Security, compliance and data residency
- Scaleway emphasizes EU-hosted infrastructure and GDPR alignment; many customers prefer it when data residency inside the EU matters.
- GCP lists an extensive compliance matrix and ISO certifications. See GCP compliance: GCP Compliance and GDPR source: EU GDPR.
Recommendation: Document specific legal/regulatory requirements first; choose the provider meeting residency and certification needs without complex architectural workarounds.
Reproducible benchmarks and testing recommendations
Benchmarks to run (reproducible)
- Web throughput: deploy identical Nginx containers behind LB, run 10k concurrent users using wrk. Capture CPU, latency percentiles, and cost per million requests.
- Database OLTP: run pgbench against managed PostgreSQL and bare‑metal PostgreSQL; measure transactions/sec and cost per 10k TPS-hours.
- ML inference: run identical PyTorch/TensorFlow models on ARM vs x86, and on bare‑metal for batch vs GCP TPU for inference.
Command examples and reproducibility tips should be stored in a repo and CI to ensure versioned benchmarks.
Expected patterns (2025–2026 observations)
- Scaleway bare‑metal dominates raw single‑node throughput and cost-efficiency for steady high CPU workloads.
- GCP’s autoscaling and managed storage show lower operational overhead and better performance for bursty global traffic.
Migration and lift‑and‑shift guidance
Migration checklist
- Inventory apps and dependencies, tag data residency requirements.
- Run a cost analysis per workload (use TCO scenarios above).
- Proof of concept with representative load and storage.
- Plan networking: VPN, VPC peering, and egress expectations.
- Execute staged migrations: dev → staging → canary → production.
- For Kubernetes: use standard manifests, Helm and CI pipelines; test node feature parity between providers.
- For databases: prefer logical dump/replication (pg_dump/pg_restore or native replication) and validate consistency.
Sector use cases and case study directions
SaaS
- Scaleway: cost-effective multi‑tenant hosting inside EU with straightforward pricing for predictable tenants.
- GCP: excels where analytics, A/B testing and global scale are first-class needs.
E‑commerce
- Use Scaleway bare‑metal or ARM for predictable checkout throughput; use GCP BigQuery for analytics pipelines if required.
Fintech
- Regulatory needs often push for EU residency; Scaleway simplifies residency while GCP provides advanced audit and compliance tooling.
Comparative table (2026 snapshot)
| Feature |
Scaleway (2026) |
Google Cloud Platform (GCP, 2026) |
| Regions & Zones |
EU‑centric, growing EU locations |
Global multi‑region presence |
| Compute types |
ARM instances, bare‑metal, flexible VMs |
Wide VM types, GPUs, TPUs, sole‑tenant |
| Kubernetes |
Managed Kapsule |
GKE (mature, Autopilot) |
| Managed DB |
Managed PostgreSQL/MySQL |
Cloud SQL, Spanner, Bigtable |
| Analytics |
S3-compatible object storage; self-managed stacks |
BigQuery (serverless analytics) |
| Pricing model |
Simple units, often lower egress in EU |
Complex tiers, sustained discounts |
| Developer tooling |
Simpler API/CLI, marketplace growing |
Mature SDKs, Cloud Build, Cloud Run |
| Compliance |
EU-first, GDPR-friendly |
Broad certifications and attestations |
| Sustainability |
EU data centres with green commitments |
Carbon-aware computing tools |
| Best for |
EU residency, cost-sensitive compute, ARM/bare‑metal |
Enterprise analytics, global scale, managed services |
FAQs
Is Scaleway better than GCP for costs in England?
For single-region, predictable compute workloads, Scaleway frequently provides lower unit costs and better control of egress inside the EU. For large analytics or globally distributed services, GCP may be cost-effective when managed service overhead and developer productivity are considered.
Which provider has better data residency for EU law compliance?
Scaleway’s EU-first infrastructure simplifies data residency. GCP also supports EU data residency but relies on architecture choices; compliance matrices are available on vendor pages.
Can existing GCP workloads be migrated to Scaleway with minimal changes?
Lift‑and‑shift of VMs and containers is feasible, but migrations that depend on proprietary managed services (e.g., BigQuery, Spanner) require replatforming or replacement.
How do egress fees compare between Scaleway and GCP?
Egress depends on tiers and regions. Scaleway often offers cheaper intra‑EU egress in 2026 pricing; run a TCO calculation for expected transfer volumes.
Bare‑metal benefits high‑throughput databases, low‑latency trading, or ML workloads needing dedicated hardware. Many web apps perform well on virtualized instances.
Are ARM instances production-ready?
Yes — ARM ecosystems matured by 2026. Compatibility checks for binaries and containerized images are essential.
Which provider is better for AI/ML workloads?
GCP leads with Vertex AI and TPU access for large-scale training. Scaleway suits inference and cost‑sensitive training on dedicated servers.
How to estimate savings before migrating?
Run representative benchmarks, model egress/storage patterns, and compare real quotes. Use scenario-based TCO (single VM, k8s cluster, storage-heavy) to capture differences.
Conclusion
Decision-making between Scaleway vs Google Cloud Platform should be driven by workload profiles, compliance requirements and total cost models. For England-focused teams prioritising EU residency, ARM/bare‑metal options and lower baseline compute costs, Scaleway offers a compelling alternative. For organisations needing global scale, managed analytics and AI tooling, GCP remains a strong choice. Running reproducible benchmarks, modelling TCO with real traffic and validating compliance needs will surface the optimal provider choice.
References and further reading
