Head-to-head · Model Registry Software
Cloudera AI Registry vs Databricks Mosaic AI
Cloudera AI Registry leads on 0 checks, Databricks Mosaic AI on 0, and 4 are even. Who comes out ahead on the 4 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
- Free trialonly Databricks Mosaic AI
- Most featuresCloudera AI Registry · 4 of 6
Cloudera AI Registry scores higher on our rubric for model registry software: 9.2 against 8.3 out of 10; our editors rank them #2 and #8.
Cloudera AI Registry is the better fit for cloudera platform users. Databricks Mosaic AI is the better fit for databricks and Unity Catalog users.
- Cloudera AI Registry fits best
Cloudera platform users
- Databricks Mosaic AI fits best
Databricks and Unity Catalog users
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Side by side
| Feature | Cloudera AI Registry 9.2/10 Visit ↗ | Databricks Mosaic AI 8.3/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.2 | 8.3 |
| Ranking | #2 in Model Registry Software | #8 in Model Registry Software |
| Best for | Cloudera platform users | Databricks and Unity Catalog users |
| Pricing model | Paid | Paid |
| Starting price | Pricing on request | — |
| Free plan | Not checked yet | Not checked yet |
| Free trial | — | 14 days |
| Deployment | Cloud | Cloud |
| Platforms | Web | Web |
| Support | Phone, Community, Docs | Docs |
| Built for | Enterprise, Mid-market | Mid-market, Enterprise |
| Features Cloudera AI Registry 4/6 · Databricks Mosaic 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 |
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| Cons |
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| 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 → |
Databricks Mosaic AI is a cloud-based platform for developing, deploying, monitoring, and governing machine-learning and generative-AI applications. It is designed for organizations and technical teams building production AI systems across… Read the review → |
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
Databricks Mosaic AI — where it wins
- Centralizes model registry, governance, and versioned data in Unity Catalog
- Combines MLflow tracking, serving, inference, orchestration, and monitoring
- Supports batch and real-time inference through scalable REST API endpoints
Where it doesn't
- Usage-based costs vary by cloud provider, region, and selected services
- The broad platform scope may exceed a registry-only requirement
- Committed contract discounts and benefits may vary by usage agreement
- Cloudera AI Registry9.2/10 · Pricing on request
A focused model registry for teams operating machine learning workflows in Cloudera AI.
Visit ClouderaFull verdict → - Databricks Mosaic AI8.3/10 · 14-day trial
A broad Databricks-native registry for teams running production AI systems.
Visit DatabricksFull verdict →
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All model registry software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Nov 2026
Last updated · How we research and update