Microsoft
Azure vs AWS: the benchmark Microsoft respects.
List price spreadsheets bounce off Microsoft deal desks. Workload specific AWS benchmarks with real portability reprice Azure commits. Here is the method.
List price spreadsheets bounce off Microsoft deal desks. Workload specific AWS benchmarks with real portability reprice Azure commits. Here is the method.
AWS pricing benchmarks move Azure commit economics by 10 to 25 percent, but only when the comparison is workload specific, portability is demonstrated, and the numbers land months before the Microsoft agreement renews.
Microsoft's cloud growth story depends on Azure consumption commitments, and a credible threat to route new workloads elsewhere attacks that story directly. The published price lists at Azure pricing and AWS pricing make the raw comparison easy; making it credible is the actual work.
The deal desk distinguishes instantly between a procurement spreadsheet and an engineering plan. Only the second one reprices anything.
On the MACC: commit size, discount tiers, and growth assumptions. Comparison pressure rarely moves M365 seat pricing, but it consistently shapes Azure commit unit economics and concession packages.
Pick three to five workloads that are genuinely portable, price them properly on both clouds at committed use rates, and attach the migration plan that proves you could move them.
Comparison quality levels and their negotiation weight
| Level | Content | Deal desk response |
|---|---|---|
| List price sheet | Public rates, no workloads | Ignored |
| TCO model | Workload sized, committed rates | Considered |
| Portability proof | IaC, containers, migration estimate | Priced into the deal |
| Placement policy | Multi cloud rule for new workloads | Reshapes the commit structure |
Containerized services, stateless compute, analytics on open formats, and anything already defined in Terraform. Workloads woven into Azure native services carry no comparison weight, and claiming otherwise costs credibility.
Compare reserved instance and AWS Savings Plans rates against the Azure commit effective rate, not list against list. The comparison that matters is the marginal cost of the next workload under each provider's committed structure.
The deal desk will price your exit costs if you have not, and their version is always higher. Owning the honest math is what keeps the comparison alive.
For Windows heavy estates it often does on price, which is fine: the goal is leverage, not migration. Acknowledging where Azure genuinely wins is part of what makes your comparison credible where it does not.
Comparisons price in when they arrive early enough to shape the deal structure and are carried by people who could execute them.
Smaller commits with preserved discount tiers, consumption flexibility across services, funded migration support, and rate protections at renewal. Cash discounts are the headline; structural flexibility is the value.
The standard procurement advice says aggregate everything into one TCO comparison and demand Azure match AWS. We disagree. In roughly 25 to 35 Microsoft negotiations Morten Andersen advised in 2024 to 2025, whole estate comparisons collapsed under their own assumptions and were dismissed, while narrow, workload specific benchmarks with demonstrated portability moved commit economics 10 to 25 percent. Microsoft does not price against your spreadsheet; it prices against the probability that named workloads actually leave. The buyer side move is to be small and undeniable rather than big and theoretical: three portable workloads with an IaC repo behind them beat a hundred line TCO model every time.
Three cuts of our advisory engagement file frame the size of the opportunity.
Source: Redress Compliance advisory engagement file, 2024 to 2025.
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Yes, when workload specific and portable: such benchmarks moved Azure commit economics 10 to 25 percent in our 2024 to 2025 negotiations. Generic list price comparisons moved nothing in roughly 4 of 5 attempts.
On the MACC: commit size, unit rates, discount tiers, and flexibility terms. It rarely moves M365 seat pricing, so aim it at the consumption commitment.
Containerized services, stateless compute, analytics on open data formats, and anything defined in infrastructure as code. Azure native dependent workloads carry no weight.
Price them yourself, honestly, before tabling the comparison. The deal desk will otherwise price them for you, higher, and use them to dismiss the whole exercise.
For Windows Server and SQL heavy workloads it often wins on price, and conceding that strengthens the comparison everywhere else. Leverage requires honesty about where Azure genuinely wins.
Six to nine months before EA or MACC renewal, in writing, with engineering in the room. Comparisons tabled at the deadline read as theater and price as nothing.
The workload benchmark method, the honest switching math, and the MACC terms the leverage should buy.
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Microsoft prices the probability that workloads leave, not the spreadsheet that says they could.
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