ClearML vs Databricks Mosaic AI

ClearML8.8Visit Databricks Mosaic AI8.5Visit

Higher score ClearML #2 in ML Experiment Tracking Software 8.8/10 Free plan Free plan✓ 1 of 5 features Visit ClearML

vs

Databricks Mosaic AI #5 in ML Experiment Tracking Software 8.5/10 14-day trial Free trial✓ 1 of 5 features Visit Databricks

• ClearML fits best

  Teams wanting broad, affordable experiment management

• Databricks Mosaic AI fits best

  Databricks lakehouse teams

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Side by side

Feature	ClearML 8.8/10 Visit ↗	Databricks Mosaic AI 8.5/10 Visit ↗
At a glance
Editor score	8.8	8.5
Ranking	#2 in ML Experiment Tracking Software	#5 in ML Experiment Tracking Software
Best for	Teams wanting broad, affordable experiment management	Databricks lakehouse teams
Pricing model	Free plan + paid	Paid
Starting price	$15/user/mo	—
Free plan	✓ (best)	Not checked yet
Free trial	—	14 days
Deployment	Cloud, Self-hosted	Cloud
Platforms	Web	Web
Support	Email, Community, Docs	Docs
Built for	Solo, Small business, Mid-market, Enterprise	Mid-market, Enterprise
Features ClearML 1/5 · Databricks Mosaic AI 1/5
Run comparison	Not checked yet	Not checked yet
Artifact tracking	Not checked yet	Not checked yet
Dataset versioning	Not checked yet	Not checked yet
Model registry	✓	✓
API and SDK access	Not checked yet	Not checked yet
Specs
Deployment options	Not checked yet	Not checked yet
Our review
Pros	Community includes tracking, datasets, models, pipelines, and orchestration Supports web, API, self-hosted, VPC, on-premises, air-gapped, and hybrid deployments Integrates with PyTorch, TensorFlow, scikit-learn, Hugging Face, Optuna, and Hydra	MLflow tracking covers parameters, metrics, artifacts, runs, and code versions Combines registry, serving, workflows, compute, data history, and monitoring Unity Catalog integration supports centralized model governance
Cons	Scale and Enterprise use quote-based pricing Pro adds usage-based storage and activity costs Its broad MLOps scope may exceed the needs of tracking-only teams	Paid usage-based billing can make costs vary by provider, region, and services Committed Use Contracts require committed usage to access available discounts Its broad scope may exceed the needs of teams seeking experiment tracking alone
Our verdict	ClearML is an open-source AI infrastructure and MLOps platform for data scientists, ML engineers, DevOps teams, and enterprises. Its scope extends from experiment tracking to dataset versioning, model management, pipeline orchestration,… 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 aimed at organizations and technical teams building production AI systems across… Read the review →

Strengths and trade-offs

• ClearML — where it wins

  • Community includes tracking, datasets, models, pipelines, and orchestration
  • Supports web, API, self-hosted, VPC, on-premises, air-gapped, and hybrid deployments
  • Integrates with PyTorch, TensorFlow, scikit-learn, Hugging Face, Optuna, and Hydra

  Where it doesn't

  • Scale and Enterprise use quote-based pricing
  • Pro adds usage-based storage and activity costs
  • Its broad MLOps scope may exceed the needs of tracking-only teams

• Databricks Mosaic AI — where it wins

  • MLflow tracking covers parameters, metrics, artifacts, runs, and code versions
  • Combines registry, serving, workflows, compute, data history, and monitoring
  • Unity Catalog integration supports centralized model governance

  Where it doesn't

  • Paid usage-based billing can make costs vary by provider, region, and services
  • Committed Use Contracts require committed usage to access available discounts
  • Its broad scope may exceed the needs of teams seeking experiment tracking alone

• ClearML8.8/10 · Free plan

  A broad MLOps platform with experiment tracking, data versioning, orchestration, and serving.

  Visit ClearMLFull verdict →
• Databricks Mosaic AI8.5/10 · 14-day trial

  A broad ML platform for Databricks teams that need tracking through production operations.

  Visit DatabricksFull verdict →