Valohai vs Hopsworks AI Lakehouse

Valohai8.3Visit Hopsworks AI Lakehouse8.2Visit

Higher score Valohai #6 in ML Experiment Tracking Software 8.3/10 Pricing on request · 14-day trial Free trial✓ 1 of 5 features Visit Valohai

vs

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

• Valohai fits best

  Governed multi-cloud enterprise ML teams

• Hopsworks AI Lakehouse fits best

  Teams needing tracking plus feature governance

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Side by side

Feature	Valohai 8.3/10 Visit ↗	Hopsworks AI Lakehouse 8.2/10 Visit ↗
At a glance
Editor score	8.3	8.2
Ranking	#6 in ML Experiment Tracking Software	#7 in ML Experiment Tracking Software
Best for	Governed multi-cloud enterprise ML teams	Teams needing tracking plus feature governance
Pricing model	Paid	Free plan + paid
Starting price	Pricing on request · 14-day trial	—
Free plan	—	✓ (best)
Free trial	14 days	—
Deployment	Cloud, Self-hosted	Cloud, Self-hosted
Platforms	Web	Web
Support	Email, Docs	Community, Docs
Compliance	SOC 2, GDPR, SSO/SAML, 2FA	SOC 2, ISO 27001, GDPR, 2FA
Integrations	20 integrations	32+ integrations
Built for	Mid-market, Enterprise	Mid-market, Enterprise
Features Valohai 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	Tracks metrics, logs, parameters, code, data, and reproducibility information Connects registries, pipelines, serving, and data versioning in one platform Supports multi-cloud, Kubernetes, Slurm, on-premises, and distributed training	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	Pricing requires contacting sales There is no free plan Its wider MLOps scope may exceed tracking-only requirements	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	Valohai is an MLOps platform for data scientists, ML engineers, and enterprise ML teams. Its experiment tracking covers metrics, logs, parameters, and reproducibility information, while the wider platform manages code, data, models,… 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

• Valohai — where it wins

  • Tracks metrics, logs, parameters, code, data, and reproducibility information
  • Connects registries, pipelines, serving, and data versioning in one platform
  • Supports multi-cloud, Kubernetes, Slurm, on-premises, and distributed training

  Where it doesn't

  • Pricing requires contacting sales
  • There is no free plan
  • Its wider MLOps scope may exceed tracking-only requirements

• 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

• Valohai8.3/10 · Pricing on request · 14-day trial

  A broad MLOps platform for teams that need tracking plus production governance.

  Visit ValohaiFull 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 →