OVHcloud vs Google Cloud Platform

Roubaix’s Vertically-Integrated Cloud vs Mountain View’s Data Empire

OVHcloud has been building Europe’s cloud infrastructure since 1999 — twenty-six years of the same company in Roubaix, in northern France, run by the same founding family (Octave and Miroslav Klaba retain significant ownership after the October 2021 Euronext Paris IPO). The distinguishing character of OVHcloud is not marketing — it is that OVHcloud builds the servers, builds the data centres, and operates the fibre network. Almost nothing about the OVHcloud stack comes from a US supplier at the strategic layer. Water-cooling technology is developed in-house. The company is one of the very few remaining vertically-integrated cloud providers in the world.

Google Cloud Platform is a business unit of Google LLC, a subsidiary of Alphabet Inc. — Delaware-incorporated, Nasdaq-listed (GOOG/GOOGL), headquartered in Mountain View, California. GCP’s engineering is world-class; Kubernetes itself was born at Google (as Borg, then Kubernetes released 2014). Its EU regions provide data residency; its Sovereign Cloud offering via T-Systems partnership pursues jurisdictional distance, and in France the Thales/Google joint venture S3NS offers a SecNumCloud-qualified cloud (PREMI3NS) on Google technology. Neither removes the underlying reality that Alphabet is a US parent, and CLOUD Act plus FISA Section 702 exposure applies to customer data it holds anywhere.

For European organisations where the sovereignty question is about who legally holds the compute — not just where the servers physically sit — OVHcloud’s French-parent, French-jurisdiction, French-fibre structure is the structural answer.

Jurisdiction Comparison

	OVHcloud	Google Cloud Platform
HQ	Roubaix, France	Mountain View, California, USA
Corporate entity	OVHcloud SA (Euronext Paris: OVH)	Google LLC / Alphabet Inc. (Nasdaq: GOOG/GOOGL)
Founded	1999 (Octave Klaba)	Google 1998; GCP launched 2008
Ownership	Klaba family + public (Euronext Paris IPO Oct 2021)	Public (Nasdaq)
CLOUD Act exposure	None (French parent, no US legal reach)	Yes (US-incorporated parent)
FISA 702 exposure	None	Yes
Data centres	45+ across 4 continents; majority Europe	40+ regions globally; multiple in EU
Sovereign certification	SecNumCloud (ANSSI, highest French bar)	Via partners only: S3NS PREMI3NS (Thales/Google JV, SecNumCloud 3.2); T-Systems Sovereign Cloud
Supply chain	Vertical integration — own servers, own DCs, own fibre	Standard hyperscaler infrastructure
Certifications	ISO 27001, SOC 1/2/3, HDS, PCI DSS, SecNumCloud	ISO 27001, SOC 1/2/3, FedRAMP, HIPAA, GDPR-DPA

Product Capabilities

Compute

• OVHcloud: Public Cloud (OpenStack), Bare Metal (Dedicated Servers), VPS (from €3.81/month excl. VAT), Hosted Private Cloud (VMware-based), high-performance servers with local NVMe SSD.
• GCP: Compute Engine (VMs, N/E/C/M families), Bare Metal Solution (limited regions), preemptible/Spot instances.

Notable: OVHcloud offers direct bare-metal access at competitive pricing; GCP’s bare-metal solution is limited to specific regions and Oracle-workload use cases.

Kubernetes

• OVHcloud: Managed Kubernetes (CNCF-certified), integrates with OVHcloud Load Balancers, Object Storage, and Managed Databases. Multi-region deployment supported.
• GCP: Google Kubernetes Engine (GKE) with Autopilot mode, deeper Anthos integration for multi-cloud, workload identity federation, mesh integration.

Notable: GKE has more advanced managed capabilities; OVHcloud Managed Kubernetes is production-ready for standard workloads at materially lower cost.

AI + Machine Learning

• OVHcloud: AI Endpoints (OpenAI-compatible LLM-as-a-service — Llama, Mistral, Mixtral, Qwen), AI Notebooks, AI Training (GPU workloads on H100/A100), AI Deploy for inference endpoints.
• GCP: Vertex AI (Gemini, PaLM, third-party models via Model Garden), Vertex AI Studio, AutoML, Vertex Pipelines, Vertex AI Search.

Notable: For OpenAI-API-compatible workloads running open-weight models on European GPUs, OVHcloud AI Endpoints is a direct alternative. For Gemini or first-party Google model access, Vertex AI is required.

Storage

• OVHcloud: Object Storage (S3-compatible), Cold Archive, Block Storage, NAS-HA. Compatible with existing S3 tooling — rclone, s3cmd, AWS CLI, Terraform s3 modules.
• GCP: Cloud Storage (proprietary API + GCS interop with S3), Filestore (NFS), Persistent Disk.

Notable: OVHcloud’s S3 compatibility means most existing S3-based tooling migrates without code changes. GCP’s proprietary storage APIs are deeper but create lock-in.

Databases

• OVHcloud: Managed PostgreSQL, MySQL, MongoDB, Redis, Kafka; also OpenSearch, Cassandra.
• GCP: Cloud SQL (PostgreSQL/MySQL/SQL Server), Cloud Spanner (globally distributed), BigQuery (analytics), Bigtable, Firestore, AlloyDB.

Notable: BigQuery is GCP’s crown jewel and has no direct OVHcloud equivalent — Snowflake (US) or ClickHouse Cloud (Netherlands-based) are common alternatives. Cloud Spanner’s globally-distributed strong consistency is unique.

Networking

• OVHcloud: vRack private networking, Anti-DDoS (VAC — 20+ Tbps mitigation capacity), Load Balancers, IP failover, global fibre backbone owned by OVHcloud.
• GCP: VPC (global by default), Cloud Load Balancing (single anycast IP globally), Cloud CDN, Premium and Standard Tier networking.

Notable: GCP’s Premium Tier network is one of the fastest in the industry — the global anycast Load Balancer with single-IP failover is architecturally elegant. OVHcloud’s network is smaller but its DDoS mitigation capacity is class-leading.

Egress Fees: The Silent Bill

The single largest total-cost-of-ownership difference between OVHcloud and Google Cloud is egress fees. GCP charges per-GB egress metered by destination continent and by network tier (Standard vs Premium). For workloads with substantial outbound traffic — video delivery, large downloads, API-heavy backends, ML inference outputs, data pipelines — egress can dominate the monthly bill. Public case studies and vendor-independent analyses consistently show egress accounting for 20-50% of GCP spend on egress-heavy workloads.

OVHcloud includes generous bandwidth in most service tiers with no per-GB egress metering for standard usage. For a customer serving 10 TB/month of outbound traffic, that alone is a several-thousand-euro monthly difference at scale.

Pricing Snapshot

Workload	OVHcloud	Google Cloud Platform
Bare Metal (Rise range)	From €56.99/month excl. VAT (RISE-1)	Not directly comparable; GCP N2 8-vCPU ~€230/month
VPS (2 vCores, 4 GB, 40 GB NVMe)	€3.81/month excl. VAT (VPS-1, Oct 2026)	E2-small ~€13/month (shared vCPU)
Public Cloud VM (4 vCPU, 15 GB)	~€60/month	N2 4-vCPU ~€115/month
Object Storage (per TB/month)	€8/TB (Standard S3)	€18/TB (Standard)
Egress (per TB)	Included in most tiers	€80-120/TB (destination-dependent)
Managed Kubernetes control plane	Free	~€65/month (Standard tier)

For like-for-like workloads OVHcloud is generally 40-60% cheaper before egress; on egress-heavy workloads the gap widens dramatically.

Who Should Switch?

OVHcloud is the structural choice for:

• European public administrations with data-sovereignty procurement requirements (SecNumCloud is the reference framework)
• French public sector where SecNumCloud qualification is a de facto requirement for sensitive data workloads
• Health-tech companies subject to HDS or national health-data-hosting law
• Financial services subject to DORA operational resilience requirements where vendor jurisdiction must be documented and defensible
• AI teams building against the OpenAI API contract with open-weight models — AI Endpoints is directly compatible
• Egress-heavy workloads — video, downloads, API traffic, large data pipelines
• Bare-metal-first architectures — OVHcloud’s Dedicated Servers combine hyperscaler-grade infrastructure with predictable pricing
• Reversibility-committed organisations avoiding hyperscaler lock-in

Google Cloud Platform remains the right choice for:

• Teams heavily committed to BigQuery for petabyte-scale analytics
• Multi-cloud teams standardised on Anthos as the control plane
• Products requiring Google-specific ML capabilities (Gemini access, Vertex Model Garden breadth)
• Applications requiring Google’s Premium Tier global anycast networking
• Organisations already deep in the Google Workspace + Firebase + GCP-integrated development experience

The Bottom Line

Google Cloud Platform is a technically excellent hyperscaler with genuinely differentiated services — BigQuery, Vertex AI, Anthos, and Premium Tier networking are best-in-class. Its EU regions and T-Systems Sovereign Cloud partnership offer meaningful data-residency and partial-sovereignty options.

None of this changes the underlying jurisdictional reality: Alphabet Inc. is a Delaware US corporation, and CLOUD Act plus FISA Section 702 reach applies to customer data it holds worldwide, including EU regions.

For European organisations where the sovereignty question is about corporate parentage — not just region selection — OVHcloud is the structurally aligned choice. Roubaix-headquartered OVHcloud SA under French jurisdiction; Euronext Paris listed; SecNumCloud-qualified sovereign regions; vertically integrated from server assembly to fibre backbone; comprehensive AI Endpoints portfolio for open-weight-model workloads; predictable pricing without egress-fee surprises.

For the growing set of workloads where jurisdiction, egress economics, and supply-chain sovereignty all need to be answered together — OVHcloud answers all three at once.

---

Looking for more European cloud alternatives? See also: Scaleway vs Google Cloud, OVHcloud vs Microsoft Azure, and Hetzner vs AWS.

Frequently Asked Questions

Isn't Google Cloud EU regions enough for GDPR?

For strict data residency, yes — Google Cloud EU regions keep customer data physically in Europe. That is not, however, the same as jurisdictional sovereignty. Google LLC and Alphabet Inc. are Delaware-incorporated US companies. Under the CLOUD Act and FISA Section 702, US authorities can compel Google to produce customer data from anywhere in the world, including EU regions. Google's transparency reports document thousands of government data requests each year. The T-Systems Sovereign Cloud (Google-technology-under-Deutsche-Telekom-operation) reduces exposure for specific workloads but has a narrower feature scope than mainline GCP. In France, S3NS — a French-law joint venture of Thales and Google Cloud — runs PREMI3NS on Google Cloud technology, qualified SecNumCloud 3.2 by ANSSI. OVHcloud has no US parent, so no CLOUD Act reach exists on customer data regardless of region.

How does OVHcloud AI Endpoints compare to Vertex AI?

AI Endpoints is OVHcloud's LLM-as-a-service — an OpenAI-compatible API surface serving open-weight models (Llama, Mistral, Mixtral, Qwen, and others) hosted on OVHcloud GPU infrastructure in France. It is materially narrower than Vertex AI Model Garden, which offers Gemini, first-party Google models, and a broader third-party model catalogue. For teams building against the OpenAI API contract who want models running on European infrastructure with per-token pricing, AI Endpoints is a direct, low-friction alternative. For teams requiring specific Google models (Gemini) or Vertex-only tooling (Vertex AI Search, Vertex Pipelines), AI Endpoints will not be a replacement.

What about egress costs? Google Cloud egress fees are notorious.

This is one of OVHcloud's most concrete advantages. Google Cloud egress fees are metered by destination continent and by tier (Standard vs Premium), and for high-egress workloads they can dominate the bill — some organisations report egress alone accounting for 30-50% of their GCP spend. OVHcloud includes generous bandwidth allowances in most service tiers (Public Cloud, VPS, Dedicated Servers) with no per-GB egress metering for standard usage. For applications with substantial outbound traffic — video, downloads, API-heavy backends, large data transfers — the total cost difference is significant.

Can OVHcloud handle production Kubernetes at scale?

Yes. OVHcloud Managed Kubernetes is CNCF-certified, supports the standard Kubernetes API, works with all standard tooling (Helm, kubectl, ArgoCD, Prometheus), integrates with OVHcloud Load Balancers and Object Storage, and offers autoscaling and multi-region deployment options. GKE has more advanced managed capabilities (Autopilot, deeper Anthos integration, workload identity federation, service mesh integration) but for teams running standard Kubernetes workloads, OVHcloud Managed Kubernetes is production-ready and materially cheaper.

What is SecNumCloud and why does it matter?

SecNumCloud is the highest cloud-security qualification from ANSSI, the French national cybersecurity agency. It requires the operator to be a European entity beyond the reach of foreign extraterritorial law (excluding CLOUD Act exposure), operating from EU-located infrastructure, with detailed technical, contractual, and personnel security requirements. SecNumCloud is a de facto requirement for French public-sector procurement of sensitive-data workloads, is increasingly recognised across EU member states, and is a leading candidate to influence the pending EU Cloud Certification Scheme (EUCS). Google technology can meet this bar when operated by a European partner: S3NS (a Thales/Google Cloud joint venture) has had its PREMI3NS offer, built on Google Cloud technology, qualified SecNumCloud 3.2 by ANSSI. Mainline GCP regions operated by Google itself are not SecNumCloud-qualified, whereas OVHcloud holds the qualification directly on its own regions.

How does OVHcloud pricing compare for a mid-sized production workload?

For a typical mid-sized production workload — a set of Kubernetes nodes, an object storage bucket in the multi-TB range, managed PostgreSQL, and moderate outbound traffic — OVHcloud is generally 40-60% cheaper than the equivalent GCP configuration. The gap widens materially when egress traffic is high. Bare metal is where the gap is largest: OVHcloud dedicated servers start at €59.99/month for genuine Xeon hardware with local NVMe SSD, versus GCP's E2-standard-4 at roughly $97/month for shared vCPU capacity. The trade-off is that GCP offers deeper managed services (BigQuery, Spanner, Bigtable) whose equivalent build-and-manage on OVHcloud takes engineering time.

Is OVHcloud vertically integrated in a way that matters?

Yes — this is one of OVHcloud's genuine strategic differentiators. OVHcloud designs and assembles its own servers in France, builds its own data centres, and operates its own global fibre network. This vertical integration gives OVHcloud direct control over its supply chain, hardware costs, and infrastructure security posture. Its water-cooling technology (patented, deployed across data centres) significantly reduces energy consumption compared to air-cooled hyperscaler infrastructure. For European organisations concerned about supply-chain sovereignty — not just data sovereignty — OVHcloud's vertical integration is a materially different posture from hyperscalers running hyperscaler-standard commodity infrastructure.