The datacenter storage market hit $71 billion last year, with vendors promising the impossible: their storage is fast, cheap, and bulletproof. Choose two, compromise on the third, and your infrastructure will work.
Just look at the economics. NVMe arrays cost $4 per GB. Object storage costs $0.02 per GB. Fast storage gives high bandwidth and low latency. Cheap storage needs density, parity and compression. These aren’t compatible goals.
But here’s where most buyers make the mistake. They act like this is a technology problem when it’s a business problem. Your finance team doesn’t care about NVMe or SATA. They care about the Capex overspend of $200,000 per quarter and the fact you’re buying more 6 months later.
Media companies learned this the hard way. Unified platforms (naming no names) promised everything “capacity, performance, protection” and even “global availability”. But they very quickly found 50% or more in overprovisioned hardware.
The winners built multi-tier architectures. Fast storage for active work, warm storage for recent projects, cold archive for everything else.
At scale, the numbers don’t lie. A 500TB project at $1,000 per TB hurts if it’s in the wrong place. Once it becomes warm data, it’s automatically moved to sub $50 per TB storage to save you bleeding money.
Here’s a test: map your data by workload, not by department.
- Editorial needs performance and protection.
- Archive needs capacity and protection.
- Renders need capacity and performance because you can regenerate them.
Organisations that win in storage don’t have the best technology. They’re the ones who honestly answer which two attributes matter for the dataset. And architect accordingly.
Which two are you optimising for? If you’re trying to optimise for all three, you’re optimising for none.