Google vs Netlify
Google 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 | Rate | Netlify | Rate | Cheaper | |
|---|---|---|---|---|---|
| CDN & edge delivery | Google Cloud CDN | $0.080 | — | — | only one competes |
| Cloud compute & VPS | Google Compute Engine | $0.048 | — | — | only one competes |
| GPU cloud | Google Cloud A3 | $6.98 | — | — | only one competes |
| Object storage | Google Cloud Storage | $0.020 | — | — | only one competes |
| Serverless functions | — | — | Netlify Functions | $19.00 | only one competes |
| Application platforms | — | — | Netlify | $9.00 | only one competes |
| Managed databases | Google Cloud SQL | $9.37 | — | — | only one competes |
About each provider
Headquartered in US · 6 priced services
Google Cloud for infrastructure and the Gemini API for models. Compute pricing is competitive with AWS, and sustained-use discounts apply automatically rather than requiring a commitment.
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 Google or Netlify cheaper in 2026?
- Google 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 Google 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 Google does not?
- In this dataset: Serverless functions, Application platforms. Google 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.