Microsoft vs Netlify
Microsoft and Netlify barely overlap — they compete in no category where both publish a comparable rate.
Category by category
Each provider's cheapest published option in each category, on the axis that category is billed on. A dash means they do not sell into it.
| Category | Microsoft | Rate | Netlify | Rate | Cheaper |
|---|---|---|---|---|---|
| CDN & edge delivery | Azure Front Door | $0.081 | — | — | only one competes |
| Cloud compute & VPS | Azure Virtual Machines | $0.052 | — | — | only one competes |
| GPU cloud | Azure ND H100 v5 | $6.98 | — | — | only one competes |
| Object storage | Azure Blob Storage | $0.018 | — | — | only one competes |
| Serverless functions | — | — | Netlify Functions | $19.00 | only one competes |
| Application platforms | — | — | Netlify | $9.00 | only one competes |
| Managed databases | Azure Database for PostgreSQL | $12.41 | — | — | only one competes |
About each provider
Microsoft
Headquartered in US · 6 priced services
Azure is the default cloud inside enterprises already licensed for Microsoft software, where existing agreements usually matter more to the final bill than list price does.
Netlify
Headquartered in US · 2 priced services
A frontend hosting platform with generous build tooling and the most expensive overage bandwidth of the major PaaS options.
Questions
- Is Microsoft or Netlify cheaper in 2026?
- Microsoft and Netlify barely overlap — they compete in no category where both publish a comparable rate. Picking a provider on an aggregate "cheaper" verdict is usually a mistake — what matters is which of them is cheaper in the categories you actually buy.
- What does Microsoft offer that Netlify does not?
- In this dataset: CDN & edge delivery, Cloud compute & VPS, GPU cloud, Object storage, Managed databases. Netlify has no priced equivalent in those categories.
- What does Netlify offer that Microsoft does not?
- In this dataset: Serverless functions, Application platforms. Microsoft has no priced equivalent in those categories.
- Should I use both?
- Often the cheapest answer, and the table above shows where the seams are. Splitting workloads across providers costs you cross-provider data transfer and a second bill to reason about, so it pays off when the per-category gap is large and the traffic between them is small.