ClearML vs Hopsworks AI Lakehouse

ClearML8.8Visit Hopsworks AI Lakehouse8.2Visit

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

vs

Hopsworks AI Lakehouse #7 in ML Experiment Tracking Software 8.2/10 Free plan Free plan✓ 5 of 5 features Visit Hopsworks

• ClearML fits best

  Teams wanting broad, affordable experiment management

• Hopsworks AI Lakehouse fits best

  Teams needing tracking plus feature governance

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Side by side

Feature	ClearML 8.8/10 Visit ↗	Hopsworks AI Lakehouse 8.2/10 Visit ↗
At a glance
Editor score	8.8	8.2
Ranking	#2 in ML Experiment Tracking Software	#7 in ML Experiment Tracking Software
Best for	Teams wanting broad, affordable experiment management	Teams needing tracking plus feature governance
Pricing model	Free plan + paid	Free plan + paid
Starting price	$15/user/mo	—
Free plan	✓	✓
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud, Self-hosted
Platforms	Web	Web
Support	Email, Community, Docs	Community, Docs
Compliance	GDPR, SSO/SAML	SOC 2, ISO 27001, GDPR, 2FA
Integrations	12 integrations	32+ integrations
Built for	Solo, Small business, Mid-market, Enterprise	Mid-market, Enterprise
Features ClearML 1/5 · Hopsworks AI Lakehouse 5/5
Run comparison	Not checked yet	✓ (best)
Artifact tracking	Not checked yet	✓ (best)
Dataset versioning	Not checked yet	✓ (best)
Model registry	✓	✓
API and SDK access	Not checked yet	✓ (best)
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	Free plan includes experiment tracking, comparisons, artifacts, and one project Covers datasets, features, models, serving, lineage, and monitoring Supports web, API, self-hosted, cloud, on-premise, and air-gapped deployments
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	The Free plan is limited to 1 project SaaS costs vary with usage, complicating fixed-budget planning Broader than a focused experiment-tracking product
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 →	Hopsworks AI Lakehouse brings experiment tracking into a wider platform for building and operating machine-learning and AI systems. It is suited to teams that need to record training runs, metrics, logs, hyperparameters, outputs, and… 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

• Hopsworks AI Lakehouse — where it wins

  • Free plan includes experiment tracking, comparisons, artifacts, and one project
  • Covers datasets, features, models, serving, lineage, and monitoring
  • Supports web, API, self-hosted, cloud, on-premise, and air-gapped deployments

  Where it doesn't

  • The Free plan is limited to 1 project
  • SaaS costs vary with usage, complicating fixed-budget planning
  • Broader than a focused experiment-tracking product

• ClearML8.8/10 · Free plan

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

  Visit ClearMLFull verdict →
• Hopsworks AI Lakehouse8.2/10 · Free plan

  A broad AI lakehouse for teams that need tracking alongside feature and model governance.

  Visit HopsworksFull verdict →