Recently I’ve been hearing a lot of “the cloud is too expensive” and “hardware is a better deal,” which really makes me want to pontificate. Total cost of ownership is never easy to calculate, and it’s understandable why cloud pricing can feel shocking when it’s presented as a simple monthly number. But when we break down what organizations pay for—whether they realize it or not—the comparison becomes far more nuanced. Hoping to demystify the cost comparison, I’ve written this post for infrastructure and IT leaders who are asked to justify cloud storage costs against traditional hardware purchases.
You Pay for What You Control
Cloud storage often looks expensive because it exposes costs that on‑premises environments quietly hide. When you compare total cost of ownership—not just raw capacity—the story changes.
Let’s start with a simple analogy, taken from a familiar example: pizza. Making pizza at home, picking it up partially prepared, ordering delivery, or dining out all result in the same end product—but the cost structure and responsibility change dramatically. Some options give you maximum control, others trade that control for convenience, consistency, and predictability. Infrastructure works the same way.
The yellow boxes are not only managed by the customer, but paid for by the user. This means you have the control over the item – brand, size, age, price, makeup, etc. It’s the ultimate ability to customize, but it comes with a lot of management overhead.
Figure 1- https://pragmaticworks.com/blog/this-week-in-data-pizza-and-the-cloud
The cloud isn’t expensive because it’s inefficient; it’s expensive because it bundles costs that on‑premises environments often hide, underestimate, or defer. Hyperscalers also purchase hardware in huge volumes giving them steep discounts. To see why, we need to look beyond hardware alone and examine what we’re really paying for.
Now let’s apply this to Azure NetApp Files (ANF). Azure NetApp files is a PaaS storage service. With ANF, teams no longer manage storage firmware, controller upgrades, hardware refresh cycles, performance tuning under failure scenarios, or capacity planning against physical constraints.
And this table isn’t complete, it should also include:
- Electricity (40-60% of the total cost of a data center)
- Cooling – Chillers, HVAC, and/or liquid cooling for high-performance systems
- Labor – Network operations, server operations, facilities maintenance, cleaners
- Network equipment
- Uninterrupted Power Supplies
- Security Systems and staff
- Generators + Fuel
- Fire suppression systems
- Building rental + Parking
- Building out a data center – raised floors, additional power, etc.
In infrastructure terms: availability engineering, performance headroom, patching, lifecycle management, and incident response need to be considered —they’re either handled explicitly or quietly absorbed by your team.
1yr TCO
Once you account for those operational realities, the cost comparison becomes less theoretical. Let’s look at what this actually means for a typical 100TB deployment. On-premises, your costs would look something like this:
Total Estimated First‑Year Cost for 100TB SAN/NAS
Now this is a large range, but that range isn’t a weakness of the estimate—it’s a reflection of how unpredictable on‑premises storage economics are once utilization, growth, and failure scenarios are considered.
Now compare that to Azure NetApp Files (ANF) which offers predictable pricing.
Total Estimated First‑Year Cost for 100TB ANF, East US
5yr TCO
With hardware, you must buy a large enough device to last the lifespan of the hardware. Let’s consider a customer who starts with 100TB, grows 20% a year, and is comparing hardware and ANF to host their storage.
But realistically, since storage moves from cool to hot in a matter of seconds, most customers end up tiering 75%-80%! Let’s look at the numbers with 75% tiered to cool.
The tables above show that ANF can be more expensive, but more likely it will be cheaper than hardware. Additionally instead of paying up front you pay monthly giving you more flexibility should growth rates change.
Conclusion
When people claim that cloud storage is more expensive than hardware, they’re often not wrong in a narrow, line‑item comparison. But that comparison rarely reflects equivalent costs. On‑premises storage absorbs power, cooling, facilities, labor, maintenance, and operational risk in ways that are difficult to quantify—and very easy to overlook. Cloud pricing, by contrast, makes those costs explicit.
When you factor in the full operational footprint, services like Azure NetApp Files stop looking disproportionately expensive and start looking predictable. That predictability—along with reduced operational burden and faster time to value—is what organizations are actually buying. The question, then, isn’t whether cloud storage costs more than hardware. It’s whether organizations are comparing the same thing at all.
For technical teams, this isn’t just a pricing discussion—it’s a decision about where operational complexity should live. Azure NetApp Files makes that complexity explicit, priced, and predictable instead of implicit, fragmented, and risky. Before declaring cloud storage “too expensive,” ask whether your comparison includes the costs you’ve already normalized.
TL;DR
Cloud storage often looks more expensive than buying hardware when you compare only capacity prices. But once you factor in power, cooling, facilities, labor, maintenance, and operational risk, cloud services like Azure NetApp Files offer a more predictable—and often more comparable—total cost of ownership. Add in the volume purchasing power of hyperscalers and individual organizations have a hard time competing.
