Head-to-head · Data Science and Machine Learning Platforms
Amazon SageMaker AI vs SAS Viya
Amazon SageMaker AI leads on 0 checks, SAS Viya on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreAmazon SageMaker AI · 9.4/10
- Free trialonly SAS Viya
- Most featuresAmazon SageMaker AI · 1 of 5
Amazon SageMaker AI scores higher on our rubric for data science and machine learning platforms: 9.4 against 9.2 out of 10; our editors rank them #1 and #2.
Amazon SageMaker AI is the better fit for teams running end-to-end ML workloads on AWS. SAS Viya is the better fit for enterprises needing governed analytics and model deployment.
- Amazon SageMaker AI fits best
Teams running end-to-end ML workloads on AWS
- SAS Viya fits best
Enterprises needing governed analytics and model deployment
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Side by side
| Feature | Amazon SageMaker AI 9.4/10 Visit ↗ | SAS Viya 9.2/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.4 | 9.2 |
| Ranking | #1 in Data Science and Machine Learning Platforms | #2 in Data Science and Machine Learning Platforms |
| Best for | Teams running end-to-end ML workloads on AWS | Enterprises needing governed analytics and model deployment |
| Pricing model | Paid | Paid |
| Starting price | Not checked yet | Pricing on request · 14-day trial |
| Free plan | — | — |
| Free trial | — | 14 days |
| Deployment | Cloud | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Docs | Email, Live chat, Phone, Tickets, Community, Docs |
| Integrations | 6 integrations | 18 integrations |
| Built for | Small business, Mid-market, Enterprise | Enterprise, Mid-market |
| Features Amazon SageMaker AI 1/5 · SAS Viya 0/5 | ||
| Notebook environment | Not checked yet | Not checked yet |
| AutoML | Not checked yet | Not checked yet |
| Model deployment | Not checked yet | Not checked yet |
| GPU compute | Not checked yet | Not checked yet |
| Pipeline orchestration | ✓ (best) | Not checked yet |
| Specs | ||
| Deployment model | Not checked yet | Not checked yet |
| Our review | ||
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| Cons |
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| Our verdict | Amazon SageMaker AI is a managed machine-learning service for data scientists, developers, and ML engineers building, training, and deploying models on AWS. Its web-based Studio environment sits alongside APIs, SDKs, and CLI tools, so… Read the review → |
SAS Viya brings data management, analytics, and AI into a platform for organizations that need to build models and put governed decisions into operation. Its audience includes enterprise and mid-market teams working with predictive… Read the review → |
Strengths and trade-offs
Amazon SageMaker AI — where it wins
- Covers tracking, model registry, pipelines, feature storage, and inference
- Managed infrastructure supports training and distributed workloads
- Integrates with S3, IAM, KMS, VPC, PrivateLink, and MLflow
Where it doesn't
- Usage-based costs span compute, storage, and data processing
- AWS Free Tier applies only during the first two months
- Some legacy features are unavailable to new customers or have ended support
SAS Viya — where it wins
- Combines statistical modeling, automated ML, forecasting, and model monitoring
- Supports explainability, fairness testing, bias detection, and governance
- Deploys models across cloud, on-premises, in-database, and edge environments
Where it doesn't
- Pricing requires contacting sales
- The breadth of capabilities may exceed the needs of teams seeking a focused tool
- No free plan is available
- Amazon SageMaker AI9.4/10 · Paid
A broad AWS-based ML lifecycle service with usage-based pricing and no ongoing free plan.
Visit AWSFull verdict → - SAS Viya9.2/10 · Pricing on request · 14-day trial
A broad analytics and machine learning platform for governed, operational decision-making.
Visit SAS ViyaFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





