Managed file storage often seems like a secondary element within a cloud architecture—until the bill arrives. Applications with shared content, Kubernetes environments with RWX volumes, CMS, data pipelines, AI workloads, work directories, and systems that require NFS can all depend on this kind of service. And when capacity, IOPS, and redundancy are combined, differences between providers stop being minor.
A Cloud Mercato comparison of OVHcloud File Storage versus Amazon EFS, Microsoft Azure Files, and Google Filestore yields a striking result: in a high-performance scenario with 2 TB of storage, 500 GB of read, 200 GB of write, and 15,000 provisioned IOPS, OVHcloud appears as the cheapest option in the group, with an estimated monthly cost of $308. This study is part of Projector, Cloud Mercato’s analytics platform that evaluates managed file storage services in 2026, focusing on features, pricing models, and TCO.
The difference is not insignificant. In that same scenario, AWS EFS ranges from $379 to $687 depending on redundancy, Azure Files between $750 and $934, and Google Filestore between $560 and $1,000. In Google’s regional configuration, the bill exceeds OVHcloud’s estimate by more than three times.
Cost comparison: OVHcloud has the edge
The scenario analyzed is not just a simple cold storage volume. It includes capacity, read/write traffic, and 15,000 provisioned IOPS. In other words, it’s closer to a workload that demands sustained performance rather than a cheap repository for storing files.
| Provider | Service | Class | Region | Estimated Monthly Cost | Difference from OVHcloud |
|---|---|---|---|---|---|
| OVHcloud | File Storage | Standard, 1AZ | SBG | $308 | Base |
| AWS | EFS | Elastic One-Zone | eu-west-3 | $379 | +23% |
| AWS | EFS | Elastic Multi-AZ | eu-west-3 | $687 | +123% |
| Azure | Files | Premium LRS | West Europe | $750 | +144% |
| Azure | Files | Premium ZRS | West Europe | $934 | +203% |
| Filestore | Zonal | europe-west9 | $560 | +82% | |
| Filestore | Regional | europe-west9 | $1,000 | +225% |
This table prompts a more careful examination of costs. Google Filestore in regional mode is not just “a bit more expensive”: in that scenario, it multiplies OVHcloud’s estimate by 3.25. Azure also remains significantly higher, especially in ZRS. AWS appears more competitive in One-Zone but clearly rises when comparing the Multi-AZ option.
However, it’s important not to turn a pricing table into an absolute conclusion. Not all classes offer the same level of redundancy, integration, SLA, performance, or operational model. A 1AZ option isn’t the same as Multi-AZ or regional. Price is relevant, but it must be considered alongside availability, architecture, continuity requirements, data location, and dependency on the rest of the stack.
That said, the economic message is compelling. OVHcloud enters a category where hyperscalers usually rely on ecosystem, integration, and extensive reach, and does so by targeting a very sensitive point for technical companies: the recurring monthly cost.
Why file storage remains essential
In cloud, object storage and block storage are often discussed, but file storage still plays a very specific role. It’s useful when multiple machines or containers need to mount the same filesystem and read or write via shared paths. In Linux and Kubernetes, this typically translates to NFS and ReadWriteMany volumes.
OVHcloud describes its File Storage as a managed NFS volume service for Public Cloud, compatible with instances, Kubernetes clusters, and other clients over a private network. It’s based on OpenStack Manila, supports NFS with controlled access, uses private connectivity, and is designed for scenarios where multiple clients mount the same resource.
On its official page, OVHcloud presents File Storage as a service with volumes from 150 GiB up to 10 TiB, performance of up to 16,000 IOPS, and up to 128 MiB/s, billed hourly with a reference price of $0.1708 per GB per month. It also mentions compatibility with Managed Kubernetes via PVC RWX, and mounting NFS from Public Cloud instances.
This type of service fits applications that don’t work well with object storage or require a shared filesystem. Not everything can be redesigned around S3, nor should all data live solely on block disks attached to a single machine. Many architectures still rely on a straightforward, managed, and reasonably fast shared point.
Costs aren’t just about gigabytes
The Cloud Mercato comparison highlights that actual costs aren’t dictated solely by stored TB. Several variables influence the total: provisioned IOPS, read/write operations, redundancy, throughput, snapshots, traffic, region, and billing models.
| Variable | Why it impacts the bill |
|---|---|
| Provisioned capacity | Core cost driver for most services |
| IOPS | Some classes charge extra or relate to premium tiers |
| Read/write operations | Some providers charge per operation or data transfer |
| Redundancy | Zones, regions, LRS, ZRS, or Multi-AZ configurations affect price and resilience |
| Region | The same service can cost differently depending on location |
| Snapshots | May add consumption and extra costs |
| Integration | Kubernetes, IAM, private network, and management tools influence operational costs |
| Egress | While not always listed separately, data egress can impact the total cost |
This point is key for sysadmins, cloud teams, and financial managers. Comparing only “cost per GB” can be misleading. A service might appear cheap until IOPS, redundancy, operations, snapshots, or traffic are added. Conversely, a service might seem expensive per GB but include elements that reduce operational costs or simplify architecture.
Therefore, TCO should be assessed with real-world scenarios. A CMS with many small files behaves differently than a scientific data repository. A Kubernetes cluster with multiple pods writing to the same volume has different needs than a simple shared directory for batch processes. Critical production loads are not evaluated the same way as development environments.
An opportunity for European cloud providers
This analysis also reflects market dynamics. OVHcloud enters this comparison as a European provider versus three U.S. giants. Its pricing advantage doesn’t automatically make its service the best choice in all cases, but it underscores a trend: in certain infrastructure layers, European providers can compete if they combine cost, sovereignty, location, and managed services effectively.
For companies operating in Europe, sovereignty can be a decisive factor—beyond regulation, it’s a strategic choice: where data resides, under which jurisdiction the service is provided, what dependencies are accepted, and how long-term costs are negotiated. File storage may not be the most flashy cloud layer, but it can contain operational data, internal documents, application assets, process results, and sensitive material.
There’s also an architectural dependency consideration. If a company is already deeply integrated with AWS, Azure, or Google Cloud, changing a single component might not be worth it. But if designing a hybrid, European, or multicloud architecture from scratch, services like OVHcloud File Storage could be a viable option.
The key is to validate. Price, performance, and sovereignty are strong selling points, but any decision should be tested for latency, throughput, behavior with small files, concurrency, stability, snapshots, recovery, Kubernetes integration, private networking, and daily operations.
What a company should consider before choosing
The practical conclusion isn’t “OVHcloud always wins” or “Google is always expensive.” The point is that managed file storage costs can vary greatly for the same apparent workload. Choosing a provider without testing it in real scenarios can cost hundreds or thousands of dollars extra each month.
Before subscribing, it’s wise to ask: How much capacity is needed now and in 12 months? What are the real IOPS requirements? Does the workload require high availability regionally? Which applications will mount the volume? Is NFSv3 or NFSv4 needed? What snapshot policies are in place? How will access be protected? What happens in case of accidental deletions? How does it integrate with Kubernetes or VMs?
The Cloud Mercato comparison sends a clear message: cloud managed file storage prices are no longer an inevitable consequence of hyperscalers. Alternatives may fit better in certain scenarios—especially when recurring costs grow difficult to ignore.
Frequently Asked Questions
What does the Cloud Mercato study compare?
It compares OVHcloud File Storage with Amazon EFS, Microsoft Azure Files, and Google Filestore in managed file storage scenarios, including costs and features.
What is the scenario described?
A high-performance scenario with 2 TB storage, 500 GB read, 200 GB write, and 15,000 provisioned IOPS.
Which provider is cheapest in that estimate?
OVHcloud File Storage, with an estimated monthly cost of $308 in the shared table for that scenario.
Does Google Filestore really cost more than three times OVHcloud?
In the regional configuration compared, Google Filestore is listed at $1,000 per month versus $308 for OVHcloud, which is about 3.25 times higher. In zonal mode, the difference is smaller.
Is price alone enough to choose a provider?
No. Redundancy, SLA, integration, region, actual performance, security, snapshots, support, latency, and dependency on the rest of the architecture must also be considered.
via: LinkedIn
