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Domino Data LabThe enterprise AI platform to build, scale, and govern AI-powered applications
vs
H2O.aiThe Trusted Sovereign AI Platform
Comparison · MLOps Platforms · weekly run Nov 2

Domino Data Lab vs H2O.ai

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Domino Data Lab is the stronger AI pick in MLOps Platforms: it has a visibility score of 5.6 versus 2.2 for H2O.ai, and ranks ahead in 100% of the answers that name both.

Choose Domino Data Lab if…

  • You want the brand AI engines rank higher (5.6 vs 2.2)
  • AI answers describe it more positively (35% vs 29% positive)
  • You need a self-hosted or on-premises option
  • You need ISO 27001 or ISO 9001 or SOC 2 or GDPR coverage

Choose H2O.ai if…

  • You need SOC 2 Type II or FedRAMP High coverage
  • Explainable, open-source-driven predictive and agentic tooling
  • Go-to platform for automated machine learning (AutoML)
  • Robust enterprise modeling and rapid deployment

AI visibility side by side

Latest weekly run · Nov 2

Metric Domino Data Lab H2O.ai
Visibility score5.6%2.2%
Change vs last weekNewNew
Rank in MLOps Platforms#15#27
Share of voice2.5%1%
Mentions this run177
Positive in AI answers35%29%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 2Domino Data Lab 6%

Domino Data Lab 0pp · H2O.ai 0pp over 0 weekly runs.

Engine by engine

Domino Data Lab leads on 3 of 3 engines

ChatGPT
7.8%
2.8%
AI Mode
4.3%
1.9%
Perplexity
4.8%
1.9%
Domino Data LabH2O.ai

Head to head in AI answers

7 engine answers name both brands

7Domino Data Lab ranked higher
0H2O.ai ranked higher

Features, pricing & fit

DimensionDomino Data LabH2O.ai
Pricing modelFlat tiers—
Entry priceContact sales—
Free planNo—
DeploymentSingle-tenant managed SaaS (Domino Cloud), or self-managed in the customer's VPC or on-premises, with hybrid and multicloud operation via Domino Nexus. Runs on Kubernetes.On-premises, fully air-gapped, private cloud, or public cloud
ComplianceISO 27001, ISO 9001, SOC 2, HIPAA, GDPRSOC 2 Type II, HIPAA, FedRAMP High
SupportPremium support with 2 business day response for non-urgent issues and 2 hour response for urgent issues, Enterprise support with 1 business day response for non-urgent issues and 1 hour response for urgent issues, Designated customer success manager on Enterprise plans, Security team available 24/7 for enterprise customersForward Deployed Engineers embedded on-site
Founded20132012
HeadquartersSan Francisco, CAMountain View, California, United States
Employees201–500201–500
FundingStrategic equity investment from UBS · $228M raisedSeries E · $250M raised
Best forLarge enterprises in regulated industries such as life sciences, financial services and the public sector, especially code-first data science teams.Regulated enterprises and public-sector agencies that need predictive, generative and agentic AI on their own infrastructure, including air-gapped deployments.

Plans side by side

Domino Data Lab

Domino CloudCustomsubscription
PremiumCustomsubscription
EnterpriseCustomsubscription
Domino Data Lab pricing

H2O.ai

Pricing not available.

Pros and cons

Themes from the AI answers that mention each brand

Domino Data Lab

  • Reproducible development environments
  • Centralized governance and lifecycle policy enforcement
  • Suited to collaborative, governed enterprise data science at scale
  • Analyst recognition, such as a Gartner Visionary placement

    H2O.ai

    • Explainable, open-source-driven predictive and agentic tooling
    • Go-to platform for automated machine learning (AutoML)
    • Robust enterprise modeling and rapid deployment
    • Listed among enterprise end-to-end MLOps platforms

      Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

      Cite as: SlateIndex, “Domino Data Lab vs H2O.ai”, https://slateindex.ai/compare/domino-data-lab-vs-h2o-ai, data of Nov 2, 2026. Licence: CC BY 4.0.