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Head-to-head · Data Science and Machine Learning Platforms

Amazon SageMaker AI vs SAS Viya

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
SAS Viya #2 in Data Science and Machine Learning Platforms 9.2/10 Pricing on request · 14-day trial Free trial✓ 0 of 5 features Visit 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

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

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
Pros
  • 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
  • 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
Cons
  • 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
  • Pricing requires contacting sales
  • The breadth of capabilities may exceed the needs of teams seeking a focused tool
  • No free plan is available
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 →
  1. Amazon SageMaker AIData Science and Machine Learning Platforms 9.4Paid
  2. SAS ViyaData Science and Machine Learning Platforms 9.2Pricing on request · 14-day trial

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 →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update