Amazon SageMaker vs Amazon Web Services (AWS) (2026): Pricing, Features & Verdict
Amazon Web Services (AWS) is our pick, scoring 7.6/10 against 6.8/10 for Amazon SageMaker on our AI Software criteria. Its biggest advantage: higher Customization score (10/10 vs 8/10). For 10 users, Amazon SageMaker and Amazon Web Services (AWS) are both free; both Amazon SageMaker and Amazon Web Services (AWS) have a free plan.
Last updated: November 2026
Amazon SageMaker
6.8/10
AWS's managed machine learning platform for building, training, and hosting ML and foundation models on pay-as-you-go cloud instances and serverless endpoints.
Amazon Web Services (AWS)
7.6/10
Amazon's public cloud platform, with over 200 pay-as-you-go services for compute, storage, databases, networking and AI, used by startups through large enterprises and governments.
Feature-by-Feature Comparison
| Feature | A Amazon SageMaker | |
|---|---|---|
| Scores | ||
| Overall Rating | 6.8/10 | 7.6/10 |
| Integration | 9/10 | 10/10 |
| Analytics | 7/10 | 8/10 |
| Customization | 8/10 | 10/10 |
| Ease of Use | 4/10 | 4/10 |
| Support | 6/10 | 6/10 |
| Cost | 4/10 | 5/10 |
| Scalability | 9/10 | 10/10 |
| Security | 9/10 | 9/10 |
| Pricing | ||
| Free plan | Yes | Yes |
| Cheapest paid plan | Contact for pricing | Contact for pricing |
| Estimated cost for 10 users | Free Free Tier (first 2 months) | Free Free plan |
| Features | ||
| API and CLI | ||
| Multiple Regions | ||
| Uptime SLA | ||
| Cloud Compute | ||
| Managed Databases | Not listed | |
| Object Storage | Not listed | |
| Serverless Functions | Not listed | |
| Managed Kubernetes | Not listed | |
| VPS Hosting | Not listed | |
| Content Delivery Network | Not listed | |
Amazon SageMaker vs Amazon Web Services (AWS) cost by team size
Amazon SageMaker and Amazon Web Services (AWS) cost the same at every team size we checked.
| Team size | Amazon SageMaker | Amazon Web Services (AWS) |
|---|---|---|
| 1 user | FreeFree Tier (first 2 months) | FreeFree plan |
| 5 users | FreeFree Tier (first 2 months) | FreeFree plan |
| 10 users | FreeFree Tier (first 2 months) | FreeFree plan |
| 25 users | FreeFree Tier (first 2 months) | FreeFree plan |
| 50 users | FreeFree Tier (first 2 months) | FreeFree plan |
The plan that fits each team size, billed monthly, before add-ons and usage charges. Each cost opens that tool's pricing calculator for the team size.
Who Amazon SageMaker and Amazon Web Services (AWS) suit
Amazon Web Services (AWS) fits startups and small business better than Amazon SageMaker.
| Audience | Amazon SageMaker | Amazon Web Services (AWS) |
|---|---|---|
| Startups | 5/10The free tier and serverless inference help, but reviewers say costs and complexity weigh on small projects. | 8/10The free plan credits and pay-as-you-go billing let startups begin cheaply and scale, which G2 reviewers note. |
| Small Business | 3/10It needs ML and AWS expertise, and reviewers call it costly and complex for small-scale work. | 5/10It is affordable at low usage, but complex billing and setup can overwhelm non-technical small teams. |
| Developers | 8/10ML engineers get a Python SDK, APIs, managed notebooks, and control over each deployment mode. | 9/10The full API, CLI and SDK tooling and the breadth of services suit engineers, though the learning curve is steep. |
| Enterprise | 9/10It offers IAM and VPC integration, KMS encryption, HIPAA eligibility, and a regional SLA, and AWS names large customers such as Toyota and NatWest. | 10/10Enterprise and Unified Operations support tiers and a broad compliance and service range are aimed at large organisations. |
| Financial Services | 7/10Private networking, encryption controls, and named banking customers such as NatWest support regulated use. | Not rated |
| Government | Not rated | 8/10AWS runs dedicated GovCloud regions, which have their own support pricing. |
| Healthcare | 7/10SageMaker AI is on AWS's list of HIPAA-eligible services, though a few sub-features are excluded. | Not rated |
| SaaS Companies | Not rated | 9/10Multi-region infrastructure and managed services support running production SaaS workloads. |
Which One Should You Choose?
AWhy choose Amazon SageMaker
Our data shows no clear advantage over Amazon Web Services (AWS).
Why choose Amazon Web Services (AWS)
- Higher Customization score (10/10 vs 8/10)
- Higher Integration score (10/10 vs 9/10)
- Better fit for startups (8/10 vs 5/10)
- Better fit for small business (5/10 vs 3/10)
Pros & Cons
AAmazon SageMaker
Pros
- Covers the full ML lifecycle in one service, from notebooks and distributed training to real-time, serverless, asynchronous, and batch inference.
- The inference SLA promises 99.95% monthly uptime for online inference, with 10 to 100% service credits if it is missed.
- Runs inside existing AWS security controls, including IAM, VPC, PrivateLink, and KMS encryption of volumes and artifacts, and is HIPAA-eligible.
- Managed Spot Training can cut training costs by up to 90%, and Savings Plans by up to 64%.
- HyperPod replaces failed nodes during long foundation-model training jobs.
- A two-month free tier includes notebook, training, and inference hours for evaluation.
Cons
- Bills are hard to predict because many components are charged separately, and reviewers report a markup over raw EC2 pricing.
- Real-time endpoints are charged by the hour even when they sit idle.
- The learning curve around IAM, VPC setup, and choosing a deployment mode is steep, and reviewers describe the documentation as fragmented.
- Pipelines and model artifacts are closely tied to AWS, which makes moving to another cloud difficult.
- Serverless inference has cold starts of several seconds, and large GPU instances need quota increase requests.
Amazon Web Services (AWS)
Pros
- The service catalogue is unusually broad, with over 200 services across 38 regions, so most infrastructure needs can be met on one platform.
- EC2 has a 99.99% region-level SLA with credits of up to 100%, and instances unavailable for more than six minutes in an hour are not billed for that hour.
- The free plan gives up to $200 in credits, and more than 30 always-free services let new teams experiment at low cost.
- Support scales from a $29 minimum up to dedicated Enterprise and Unified Operations tiers for mission-critical workloads.
- G2 rates it 4.4 across more than 17,000 reviews, and reviewers praise its scalability and global reach.
Cons
- Reviewers widely cite a steep learning curve across the console and services.
- Usage pricing is complex and can produce unexpected bills unless spend is monitored closely.
- Paid support is billed as a percentage of total AWS spend, so support costs rise with usage.
- A July 2025 billing console bug showed customers estimated charges in the billions, which hurt trust in its cost tooling.
Not sold on either?
Frequently Asked Questions
Amazon Web Services (AWS) scores higher on our AI Software criteria: 7.6/10 against 6.8/10 for Amazon SageMaker. The largest gap is in Customization: 8/10 for Amazon SageMaker and 10/10 for Amazon Web Services (AWS).
Both are free for 10 users.
Yes, both Amazon SageMaker and Amazon Web Services (AWS) have a free plan.
Amazon Web Services (AWS) is the better fit for startups: we rate it 8/10 for them, against 5/10 for Amazon SageMaker.
