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Head-to-head · Model Registry Software

Domino Enterprise AI Platform vs Amazon SageMaker AI

  • Updated Nov 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Domino Enterprise AI Platform #5 in Model Registry Software 8.7/10 Pricing on request ✓ 0 of 6 features Visit Domino

Domino Enterprise AI Platform leads on 0 checks, Amazon SageMaker AI on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreDomino Enterprise AI Platform · 8.7/10

Domino Enterprise AI Platform scores higher on our rubric for model registry software: 8.7 against 8.4 out of 10; our editors rank them #5 and #7.

Domino Enterprise AI Platform is the better fit for enterprise AI teams needing governance and compute. Amazon SageMaker AI is the better fit for AWS-centric end-to-end ML teams.

  • Domino Enterprise AI Platform fits best

    Enterprise AI teams needing governance and compute

  • Amazon SageMaker AI fits best

    AWS-centric end-to-end ML teams

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Side by side

Feature Domino Enterprise AI Platform 8.7/10 Visit ↗ Amazon SageMaker AI 8.4/10 Visit ↗
At a glance
Editor score 8.7 8.4
Ranking #5 in Model Registry Software #7 in Model Registry Software
Best for Enterprise AI teams needing governance and compute AWS-centric end-to-end ML teams
Pricing model Paid Paid
Starting price — Not checked yet
Free plan — —
Free trial — —
Deployment Cloud, Self-hosted Cloud
Platforms Web Web
Support Docs · 24/7 Docs
Compliance SOC 2, ISO 27001, GDPR, HIPAA, SSO/SAML SOC 2, ISO 27001
Integrations 8 integrations 6 integrations
Built for Enterprise Small business, Mid-market, Enterprise
Features Domino Enterprise AI Platform 0/6 · Amazon SageMaker AI 0/6
Model versioning Not checked yet Not checked yet
Approval workflows Not checked yet Not checked yet
Model lineage Not checked yet Not checked yet
Deployment tracking Not checked yet Not checked yet
Model aliases Not checked yet Not checked yet
Artifact storage Not checked yet Not checked yet
Our review
Pros
  • Centralized registry includes lineage, model cards, and approval workflows
  • Supports batch and real-time deployment with drift monitoring and alerts
  • Offers elastic CPU and GPU compute across managed and self-managed deployments
  • Versioned model packages and groups support organized model governance.
  • Covers training, experiment tracking, pipelines, feature management, and serving.
  • APIs, SDKs, CLI, and AWS integrations support programmatic workflows.
Cons
  • Pricing requires contacting sales
  • Enterprise capabilities require a substantial platform scope
  • Self-managed deployment adds infrastructure responsibility
  • Usage-based pricing has no fixed starting price.
  • There is no unlimited free plan.
  • Several legacy features are unavailable to new customers or have ended support.
Our verdict

Domino Enterprise AI Platform is an enterprise MLOps and AI platform for organizations that develop and operate machine-learning models at scale. It combines experiment tracking, run comparison, a centralized model registry, lineage, model…

Read the review →

Amazon SageMaker AI is a fully managed machine-learning service for data scientists, developers, and ML engineers. Its web-based Studio environment supports end-to-end model development, while managed infrastructure handles training and…

Read the review →
  1. Domino Enterprise AI PlatformModel Registry Software 8.7Pricing on request
  2. Amazon SageMaker AIModel Registry Software 8.4Paid

Strengths and trade-offs

  • Domino Enterprise AI Platform — where it wins

    • Centralized registry includes lineage, model cards, and approval workflows
    • Supports batch and real-time deployment with drift monitoring and alerts
    • Offers elastic CPU and GPU compute across managed and self-managed deployments

    Where it doesn't

    • Pricing requires contacting sales
    • Enterprise capabilities require a substantial platform scope
    • Self-managed deployment adds infrastructure responsibility
  • Amazon SageMaker AI — where it wins

    • Versioned model packages and groups support organized model governance.
    • Covers training, experiment tracking, pipelines, feature management, and serving.
    • APIs, SDKs, CLI, and AWS integrations support programmatic workflows.

    Where it doesn't

    • Usage-based pricing has no fixed starting price.
    • There is no unlimited free plan.
    • Several legacy features are unavailable to new customers or have ended support.
  • Domino Enterprise AI Platform8.7/10 · Pricing on request

    A full MLOps platform for enterprise teams that need registry governance and managed compute.

    Visit DominoFull verdict →
  • Amazon SageMaker AI8.4/10 · Paid

    A broad AWS-native model registry with tracking, pipelines, feature management, and serving.

    Visit SageMaker AIFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Nov 2026

Last updated · How we research and update