Valohai vs Domino Data Lab

Valohai6.9Visit Domino Data Lab6.9Visit

Valohai #6 in Experiment Tracking 6.9/10 Pricing on request · 14-day trial ✓ 0 of 3 features Visit Valohai

vs

Domino Data Lab #7 in Experiment Tracking 6.9/10 Pricing on request ✓ 3 of 3 features Try Domino Data Lab

• Valohai fits best

  Mid-market and enterprise teams across cloud environments

• Domino Data Lab fits best

  Enterprise teams prioritizing reproducibility and governance

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Side by side

Feature	Valohai 6.9/10 Visit ↗	Domino Data Lab 6.9/10 Visit ↗
At a glance
Editor score	6.9	6.9
Ranking	#6 in Experiment Tracking	#7 in Experiment Tracking
Best for	Mid-market and enterprise teams across cloud environments	Enterprise teams prioritizing reproducibility and governance
Pricing model	Paid	Paid
Starting price	Not published	Not published
Free plan	—	—
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud, Self-hosted
Platforms	Web	Web
Support	Email, Docs	Docs, Tickets · 24/7
Compliance	SOC 2, GDPR, SSO/SAML, 2FA	SOC 2, ISO 27001, GDPR, HIPAA
Integrations	20 integrations	7 integrations
Built for	Mid-market, Enterprise	Enterprise
Features Valohai 0/3 · Domino Data Lab 3/3
Self-hosted option	Not published	✓ (best)
Artifact storage	Not published	✓ (best)
Run comparison	Not published	✓ (best)
Specs
Free plan seats	Not published	Not published
Version control	Not published	Multiple
Deployment options	Not published	Both
Our review
Pros	Tracks metrics, logs, parameters, and reproducibility information Links versioned models and data assets through lineage Runs workloads across clouds, Kubernetes, Slurm, and on-premises	Automatically records code, packages, data, and project lineage Compares runs and lets teams search and inspect experiments Offers managed cloud and self-managed VPC or on-premises plans
Cons	No free plan; the trial lasts 14 days Paid pricing is quote-based rather than published Broad MLOps scope may exceed teams seeking tracking alone	Quote-based pricing makes plan costs harder to compare No free plan is offered Its scope extends well beyond experiment tracking into model operations
Our verdict	Valohai brings experiment tracking into a broader MLOps workflow for data scientists, ML engineers, and enterprise ML teams. It records metrics, logs, parameters, and reproducibility information, while connecting experiments to versioned… Read the review →	Domino Data Lab brings experiment tracking into an enterprise AI platform for teams developing and operating machine-learning and AI applications. It is suited to organizations that need reproducible work and governance alongside… Read the review →

Strengths and trade-offs

• Valohai — where it wins

  • Tracks metrics, logs, parameters, and reproducibility information
  • Links versioned models and data assets through lineage
  • Runs workloads across clouds, Kubernetes, Slurm, and on-premises

  Where it doesn't

  • No free plan; the trial lasts 14 days
  • Paid pricing is quote-based rather than published
  • Broad MLOps scope may exceed teams seeking tracking alone

• Domino Data Lab — where it wins

  • Automatically records code, packages, data, and project lineage
  • Compares runs and lets teams search and inspect experiments
  • Offers managed cloud and self-managed VPC or on-premises plans

  Where it doesn't

  • Quote-based pricing makes plan costs harder to compare
  • No free plan is offered
  • Its scope extends well beyond experiment tracking into model operations

• Valohai6.9/10 · Pricing on request · 14-day trial

  A governed MLOps workspace spanning experiment tracking, pipelines, model management, and serving.

  Visit ValohaiFull verdict →
• Domino Data Lab6.9/10 · Pricing on request

  A governance-focused experiment platform with managed cloud and self-managed deployment options.

  Try Domino Data LabFull verdict →