AWS and Oracle Cloud get compared constantly, usually by people who have already decided the workload could run on either. That is normally true. What differs is cost shape, how much of the stack you run yourself, and which constraints each platform imposes.
This comparison works through the differences that actually change a decision, then says plainly which one to pick and when. Live starting prices and configuration counts for both are shown in the table below and come straight from the catalog.
Short answer. Oracle Cloud is worth serious attention on cost alone: its egress pricing and Always Free tier are materially better than AWS. AWS remains the safer choice for ecosystem, hiring and third-party integrations.
AWS and Oracle Cloud at a glance
| AWS | Oracle Cloud | |
|---|---|---|
| Starting price | $25.00 | $45.00 |
| Configurations available | 25 | 2 |
| Best suited to | Teams that need one platform covering compute, storage, data and generative AI. | Long-running small workloads and Oracle database estates. |
| Coverage | Global | Global |
| Notable services | EC2, S3, Amazon Bedrock, SageMaker | OCI Compute, Always Free Resources, OCI Generative AI, Autonomous Database |
View AWS accountsView Oracle Cloud accounts
Service breadth
AWS
The widest service catalogue of any provider, spanning compute, storage, databases, networking, analytics and machine learning.
Oracle Cloud
A full infrastructure catalogue with particular depth around Oracle Database and its autonomous variants.
The practical question is not which catalogue is larger but whether the one you choose contains the specific services your project needs. A large catalogue you never touch is not an advantage.
How each one charges
AWS
Per-second and per-hour billing across dozens of instance families, with reserved and spot options that reward committed usage.
Oracle Cloud
Aggressive pricing on compute and notably cheap egress compared with the other hyperscalers.
Beyond the instance rate, network egress is the cost that most often surprises people. On AWS, egress is billed per gigabyte and becomes a material line item on data-heavy workloads. On Oracle Cloud, egress pricing is materially lower than AWS, Google Cloud or Azure, with a large free monthly allowance.
If the workload moves a lot of data, read our breakdown of egress charges before comparing instance prices, because egress can dominate the bill.
The differences that matter
- Where each is strongest. AWS is chosen for unmatched service breadth and the deepest managed AI stack. Oracle Cloud is chosen for an Always Free tier that is genuinely usable, and the cheapest egress of the large providers.
- What you give up. With AWS, cost and complexity that grow quickly if nobody is watching the bill. With Oracle Cloud, a smaller ecosystem and a sign-up process that is well known for being difficult.
Console and learning curve
AWS. A large console that rewards familiarity but is genuinely complex for newcomers, with IAM as a first-class concept from day one.
Oracle Cloud. A console that assumes some familiarity with enterprise infrastructure concepts such as compartments.
Outbound email
AWS. Outbound port 25 is restricted by default; production email is expected to go through Amazon SES.
Oracle Cloud. Outbound port 25 is blocked; the OCI Email Delivery service is the supported route.
This is a hard constraint rather than a preference, so settle it before anything else if your workload sends mail. The guide to port 25 explains which providers permit it.
Where they run
AWS. Regions on every populated continent, with fine-grained control over where data lives.
Oracle Cloud. A broad and growing global region footprint including dedicated and sovereign regions.
AI and machine learning
AWS. Bedrock for hosted foundation models and SageMaker for training and deployment, alongside GPU instance families.
Oracle Cloud. OCI Generative AI for hosted models, plus GPU shapes for training.
If AI work is the reason for the account, our guide to choosing a cloud for AI workloads covers the ground in more detail.
Which one to choose
Choose AWS when
Pick AWS when you need more than servers, and expect to reach for managed data, analytics or AI services in the same account.
Choose Oracle Cloud when
Pick Oracle Cloud when you want long-running small workloads at no cost, or you run Oracle Database.
Before you commit
- Confirm the specific services you need exist in the region you need them in. Availability varies by region on every provider.
- Estimate egress volume and price it on both platforms. It is the cost most often left out of a comparison.
- Check quotas. A new account starts with conservative limits, and raising them takes time on either platform.
- If outbound email matters, settle that question first, because it eliminates options rather than merely adding cost.
- Consider running both. Using each platform for what it is good at is more common than standardising on one.
Conclusion
Oracle Cloud is worth serious attention on cost alone: its egress pricing and Always Free tier are materially better than AWS. AWS remains the safer choice for ecosystem, hiring and third-party integrations.
Both platforms are available here with published configurations and pricing: Buy AWS Accounts and Buy Oracle Cloud Accounts. If you are still weighing them, the full comparison table puts every provider side by side, and support can talk through the specific workload.
Related cloud accounts
Accounts on the platforms discussed here, with every configuration and price published up front:
- Buy AWS Accounts — from $25.00. Over 200 services, from EC2 to Bedrock.
- Buy Oracle Cloud Accounts — from $45.00. A generous Always Free tier plus OCI Generative AI.
Further reading
- AWS vs Linode: Which Cloud Account Should You Buy?
- Which Cloud to Use for AI and Machine Learning Work
- AWS vs Kamatera: Which Cloud Account Should You Buy?
- Oracle Cloud Accounts: What You Get and How to Choose a Configuration
Official documentation
Provider behaviour, quotas and pricing are defined by the platform itself. These are the first-party references for the services discussed above:
Frequently asked questions
It depends on the workload shape rather than the list price. Compare the starting prices in the table above, then add expected egress, because that is where the two most often diverge.
Plain virtual machines and object storage move relatively easily. Managed services do not, so the difficulty depends on how much of each platform's proprietary surface you used.
AWS if you need more than servers, and expect to reach for managed data, analytics or AI services in the same account. Oracle Cloud if you want long-running small workloads at no cost, or you run Oracle Database.
