H2O.aiThe Trusted Sovereign AI Platform
vs
LookerAgentic business intelligence and embedded analytics on Google Cloud
Comparison · AI Agents · weekly run Nov 3
H2O.ai vs Looker
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Looker is the stronger AI pick in AI Agents: it has a visibility score of 10.4 versus 0.4 for H2O.ai.
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
Choose Looker if…
- You want the brand AI engines rank higher (10.4 vs 0.4)
- AI answers describe it more positively (30% vs 29% positive)
- You need SOC 2 or ISO 27001 or FedRAMP coverage
- Governed semantic layer and metric consistency
AI visibility side by side
Latest weekly run · Nov 3
| Metric | H2O.ai | Looker |
|---|---|---|
| Visibility score | 0.4% | 10.4% |
| Change vs last week | New | New |
| Rank in AI Agents | #70 | #13 |
| Share of voice | 0.2% | 2.5% |
| Mentions this run | 1 | 17 |
| Positive in AI answers | 29% | 30% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
H2O.ai 0pp · Looker 0pp over 0 weekly runs.
Engine by engine
Looker leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
H2O.aiLooker
Head to head in AI answers
0 engine answers name both brands
0H2O.ai ranked higher
0Looker ranked higher
Features, pricing & fit
| Dimension | H2O.ai | Looker |
|---|---|---|
| Deployment | On-premises, fully air-gapped, private cloud, or public cloud | Google Cloud |
| Compliance | SOC 2 Type II, HIPAA, FedRAMP High | SOC 2, ISO 27001, FedRAMP, HIPAA |
| Support | Forward Deployed Engineers embedded on-site | — |
| Founded | 2012 | — |
| Headquarters | Mountain View, California, United States | — |
| Employees | 201–500 | — |
| Funding | Series E · $250M raised | Series E · $280M raised |
| Best for | Regulated enterprises and public-sector agencies that need predictive, generative and agentic AI on their own infrastructure, including air-gapped deployments. | — |
Pros and cons
Themes from the AI answers that mention each brand
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
Looker
- Governed semantic layer and metric consistency
- Strong integration with Google Cloud, BigQuery and Workspace
- Developer-centric data modeling via LookML
- Around 4.5 out of 5 stars on Gartner Peer Insights
- Quote-only enterprise pricing starting above $60,000 a year
- Poor fit for NoSQL-heavy data stacks or standalone embedded needs
- Less suited to teams using macOS without virtual machines
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “H2O.ai vs Looker”, https://slateindex.ai/compare/h2o-ai-vs-looker, data of Nov 3, 2026. Licence: CC BY 4.0.