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Head-to-head · Model Registry Software

Cloudera AI Registry vs Amazon SageMaker AI

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score Cloudera AI Registry #2 in Model Registry Software 9.2/10 Pricing on request ✓ 4 of 6 features Visit Cloudera
Amazon SageMaker AI #7 in Model Registry Software 8.4/10 Paid ✓ 0 of 6 features Visit SageMaker AI

Cloudera AI Registry leads on 0 checks, Amazon SageMaker AI on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreCloudera AI Registry · 9.2/10
  • Most featuresCloudera AI Registry · 4 of 6

Cloudera AI Registry scores higher on our rubric for model registry software: 9.2 against 8.4 out of 10; our editors rank them #2 and #7.

Cloudera AI Registry is the better fit for cloudera platform users. Amazon SageMaker AI is the better fit for AWS-centric end-to-end ML teams.

  • Cloudera AI Registry fits best

    Cloudera platform users

  • Amazon SageMaker AI fits best

    AWS-centric end-to-end ML teams

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 Cloudera AI Registry 9.2/10 Visit ↗ Amazon SageMaker AI 8.4/10 Visit ↗
At a glance
Editor score 9.2 8.4
Ranking #2 in Model Registry Software #7 in Model Registry Software
Best for Cloudera platform users AWS-centric end-to-end ML teams
Pricing model Paid Paid
Starting price Pricing on request Not checked yet
Free plan Not checked yet —
Free trial — —
Deployment Cloud Cloud
Platforms Web Web
Support Phone, Community, Docs Docs
Integrations 4 integrations 6 integrations
Built for Enterprise, Mid-market Small business, Mid-market, Enterprise
Features Cloudera AI Registry 4/6 · Amazon SageMaker AI 0/6
Model versioning ✓ (best) Not checked yet
Approval workflows Not checked yet Not checked yet
Model lineage ✓ (best) Not checked yet
Deployment tracking ✓ (best) Not checked yet
Model aliases Not checked yet Not checked yet
Artifact storage ✓ (best) Not checked yet
Our review
Pros
  • Tracks model versions, metadata, lineage, archives, and deployment details
  • Provides REST and CLI APIs for model operations and registry queries
  • Connects with MLflow, CI/CD pipelines, NVIDIA NGC, and Hugging Face
  • 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
  • Best suited to organizations already using Cloudera AI environments
  • Cloud delivery runs within Cloudera environments on AWS or Azure
  • Pricing is handled through contact sales rather than a published registry rate
  • 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

Cloudera AI Registry gives organizations using Cloudera AI a central place to store and organize machine learning models, model archives, versions, metadata, dependencies, and performance information. It is aimed at enterprise MLOps…

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. Cloudera AI RegistryModel Registry Software 9.2Pricing on request
  2. Amazon SageMaker AIModel Registry Software 8.4Paid

Strengths and trade-offs

  • Cloudera AI Registry — where it wins

    • Tracks model versions, metadata, lineage, archives, and deployment details
    • Provides REST and CLI APIs for model operations and registry queries
    • Connects with MLflow, CI/CD pipelines, NVIDIA NGC, and Hugging Face

    Where it doesn't

    • Best suited to organizations already using Cloudera AI environments
    • Cloud delivery runs within Cloudera environments on AWS or Azure
    • Pricing is handled through contact sales rather than a published registry rate

  • 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.
  • Cloudera AI Registry9.2/10 · Pricing on request

    A focused model registry for teams operating machine learning workflows in Cloudera AI.

    Visit ClouderaFull 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

All model registry software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update