Amazon SageMaker AI vs Domino Data Lab

Amazon SageMaker AI6.8Visit Domino Data Lab5.8Visit

Higher score Amazon SageMaker AI #9 in MLOps Platforms 6.8/10 Paid ✓ 5 of 6 features Visit SageMaker AI

vs

Domino Data Lab #17 in MLOps Platforms 5.8/10 Pricing on request ✓ 0 of 6 features Try Domino Data Lab

• Amazon SageMaker AI fits best

  AWS teams needing an end-to-end managed platform

• Domino Data Lab fits best

  Enterprise model governance and deployment

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Side by side

Feature	Amazon SageMaker AI 6.8/10 Visit ↗	Domino Data Lab 5.8/10 Visit ↗
At a glance
Editor score	6.8	5.8
Ranking	#9 in MLOps Platforms	#17 in MLOps Platforms
Best for	AWS teams needing an end-to-end managed platform	Enterprise model governance and deployment
Pricing model	Paid	Paid
Starting price	Not published	Not published
Free plan	—	—
Free trial	—	—
Deployment	Cloud	Cloud, Self-hosted
Platforms	Web	Web
Support	Docs	Tickets, Docs · 24/7
Compliance	SOC 2, ISO 27001	SOC 2, ISO 27001, GDPR, HIPAA
Integrations	6 integrations	20 integrations
Built for	Small business, Mid-market, Enterprise	Enterprise, Mid-market
Features Amazon SageMaker AI 5/6 · Domino Data Lab 0/6
Experiment tracking	✓ (best)	Not published
Model registry	✓ (best)	Not published
Pipeline orchestration	✓ (best)	Not published
Model serving	✓ (best)	Not published
Data versioning	Not published	Not published
Managed compute	✓ (best)	Not published
Our review
Pros	Covers development, training, tracking, registry, pipelines, and inference Supports real-time, serverless, asynchronous, and batch inference Provides APIs, SDKs, CLI, and AWS governance integrations	Covers development, tracking, deployment, monitoring, and governance Supports cloud, self-hosted, real-time deployment, and API access Connects with major cloud, data, analytics, and compute platforms
Cons	Usage-based pricing has no fixed starting price No unlimited free plan is available Some legacy features are unavailable to new customers or ended support	Pricing requires a sales conversation and a quote There is no free plan for smaller or exploratory teams Lower tiers limit service accounts, admin licenses, and deployments
Our verdict	Amazon SageMaker AI is a fully managed machine-learning service for data scientists, developers, and ML engineers. Its scope runs from model development and customization through training, evaluation, deployment, and operation. The… Read the review →	Domino Data Lab is an enterprise AI and MLOps platform for data science and machine learning teams. It brings together model development and training, experiment tracking, reproducibility, deployment, model APIs, monitoring, drift… Read the review →

Strengths and trade-offs

• Amazon SageMaker AI — where it wins

  • Covers development, training, tracking, registry, pipelines, and inference
  • Supports real-time, serverless, asynchronous, and batch inference
  • Provides APIs, SDKs, CLI, and AWS governance integrations

  Where it doesn't

  • Usage-based pricing has no fixed starting price
  • No unlimited free plan is available
  • Some legacy features are unavailable to new customers or ended support

• Domino Data Lab — where it wins

  • Covers development, tracking, deployment, monitoring, and governance
  • Supports cloud, self-hosted, real-time deployment, and API access
  • Connects with major cloud, data, analytics, and compute platforms

  Where it doesn't

  • Pricing requires a sales conversation and a quote
  • There is no free plan for smaller or exploratory teams
  • Lower tiers limit service accounts, admin licenses, and deployments

• Amazon SageMaker AI6.8/10 · Paid

  A broad managed MLOps platform for AWS teams that need development through inference.

  Visit SageMaker AIFull verdict →
• Domino Data Lab5.8/10 · Pricing on request

  A broad MLOps platform for governed enterprise model development and deployment.

  Try Domino Data LabFull verdict →