AWS and Kamatera 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. Kamatera makes sense for unusual server shapes and for outbound mail, both of which AWS handles awkwardly. AWS makes sense for everything that benefits from a managed service rather than a server.
AWS and Kamatera at a glance
| AWS | Kamatera | |
|---|---|---|
| Starting price | $25.00 | $30.00 |
| Configurations available | 25 | 2 |
| Best suited to | Teams that need one platform covering compute, storage, data and generative AI. | Custom server shapes and outbound mail infrastructure. |
| Coverage | Global | Global datacentre footprint |
| Notable services | EC2, S3, Amazon Bedrock, SageMaker | Cloud Servers, Block Storage, Load Balancers, Private Networks |
View AWS accountsView Kamatera accounts
Service breadth
AWS
The widest service catalogue of any provider, spanning compute, storage, databases, networking, analytics and machine learning.
Kamatera
Highly configurable cloud servers, block storage, load balancers and private networking.
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.
Kamatera
Priced per component, so CPU, RAM and disk are sized independently rather than in fixed plans.
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 Kamatera, bandwidth is billed separately from the server, with configurable allowances.
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
- Different classes of platform. AWS is a full-service hyperscaler platform and Kamatera is a developer-focused one. That single fact explains most of the price gap and most of the capability gap.
- Where each is strongest. AWS is chosen for unmatched service breadth and the deepest managed AI stack. Kamatera is chosen for per-component server sizing and genuinely available SMTP.
- What you give up. With AWS, cost and complexity that grow quickly if nobody is watching the bill. With Kamatera, a smaller ecosystem, and no managed database or analytics layer.
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.
Kamatera. A straightforward console whose defining feature is granular server sizing.
Outbound email
AWS. Outbound port 25 is restricted by default; production email is expected to go through Amazon SES.
Kamatera. Outbound port 25 is available on eligible accounts, which is unusual and makes it a practical mail host.
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.
Kamatera. Datacentres across North America, Europe, Asia and the Middle East.
AI and machine learning
AWS. Bedrock for hosted foundation models and SageMaker for training and deployment, alongside GPU instance families.
Kamatera. No managed AI services.
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 Kamatera when
Pick Kamatera when you need an unusual server shape, or you need to run outbound mail infrastructure.
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
Kamatera makes sense for unusual server shapes and for outbound mail, both of which AWS handles awkwardly. AWS makes sense for everything that benefits from a managed service rather than a server.
Both platforms are available here with published configurations and pricing: Buy AWS Accounts and Buy Kamatera 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 Kamatera Accounts — from $30.00. Configurable servers with SMTP capability.
Further reading
- AWS vs OVHcloud: Which Cloud Account Should You Buy?
- Amazon SES vs Kamatera: Which Cloud Account Should You Buy?
- Hetzner vs Kamatera: Which Cloud Account Should You Buy?
- Kamatera vs UpCloud: Which Cloud Account Should You Buy?
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. Kamatera if you need an unusual server shape, or you need to run outbound mail infrastructure.
