Amazon Web Services vs Oracle
Split decision: Amazon Web Services is cheaper in 1 of the 2 contested categories, Oracle in 1. Neither is the cheaper provider outright.
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 | Amazon Web Services | Rate | Oracle | Rate | Cheaper |
|---|---|---|---|---|---|
| CDN & edge delivery | AWS CloudFront | $0.085 | — | — | only one competes |
| Cloud compute & VPS | AWS EC2 | $0.042 | Oracle Cloud Compute | $0.010 | Oracle4.2× cheaper |
| GPU cloud | AWS EC2 P5 | $7.57 | — | — | only one competes |
| Object storage | AWS S3 | $0.023 | Oracle Object Storage | $0.025 | Amazon Web Services1.1× cheaper |
| Managed databases | AWS RDS for PostgreSQL | $12.40 | — | — | only one competes |
About each provider
Amazon Web Services
Headquartered in US · 7 priced services
The largest cloud provider by revenue, with the broadest service catalogue and the most complex pricing. Rates are rarely the cheapest on any single axis, and egress in particular is priced well above the market.
Oracle
Headquartered in US · 2 priced services
Oracle Cloud's headline is an Always Free tier that is genuinely generous by industry standards, plus egress rates well below AWS and Azure.
Questions
- Is Amazon Web Services or Oracle cheaper in 2026?
- Split decision: Amazon Web Services is cheaper in 1 of the 2 contested categories, Oracle in 1. Neither is the cheaper provider outright. 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 Amazon Web Services offer that Oracle does not?
- In this dataset: CDN & edge delivery, GPU cloud, Managed databases. Oracle has no priced equivalent in those categories.
- What does Oracle offer that Amazon Web Services does not?
- Nothing in this dataset — every category Oracle sells into, Amazon Web Services sells into as well.
- 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.