DagsterData your team trusts. AI that runs on it.
vs
H2O.aiThe Trusted Sovereign AI Platform
Comparison · MLOps Platforms · weekly run Nov 2
Dagster vs H2O.ai
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
H2O.ai is the stronger AI pick in MLOps Platforms: it has a visibility score of 2.2 versus 0.7 for Dagster.
Choose Dagster if…
- AI answers describe it more positively (50% vs 29% positive)
- named as a practical orchestration choice
Choose H2O.ai if…
- You want the brand AI engines rank higher (2.2 vs 0.7)
- You need FedRAMP High coverage
- You prefer a larger, established vendor (201–500 employees)
- Explainable, open-source-driven predictive and agentic tooling
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Dagster | H2O.ai |
|---|---|---|
| Visibility score | 0.7% | 2.2% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #40 | #27 |
| Share of voice | 0.3% | 1% |
| Mentions this run | 2 | 7 |
| Positive in AI answers | 50% | 29% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Dagster 0pp · H2O.ai 0pp over 0 weekly runs.
Engine by engine
H2O.ai leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
DagsterH2O.ai
Head to head in AI answers
0 engine answers name both brands
0Dagster ranked higher
0H2O.ai ranked higher
Features, pricing & fit
| Dimension | Dagster | H2O.ai |
|---|---|---|
| Pricing model | Usage-based | — |
| Entry price | $10 / mo | — |
| Free plan | No · 30-day trial | — |
| Deployment | Serverless or hybrid deployment; under hybrid, compute runs in the customer's own infrastructure while Dagster manages the control plane. | On-premises, fully air-gapped, private cloud, or public cloud |
| Compliance | SOC 2 Type II, HIPAA | SOC 2 Type II, HIPAA, FedRAMP High |
| Support | Dagster community, Support Center and Ask AI, Billing support, Dedicated Slack or Microsoft Teams channel (Pro plan) | Forward Deployed Engineers embedded on-site |
| Founded | 2018 | 2012 |
| Headquarters | San Francisco, CA, United States | Mountain View, California, United States |
| Employees | 51–200 | 201–500 |
| Funding | Series B · $49M raised | Series E · $250M raised |
| Best for | Data teams running dbt, Snowflake and Python data pipelines who want lineage and health visibility across their stack. | 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
H2O.ai
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Dagster
- named as a practical orchestration choice
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, “Dagster vs H2O.ai”, https://slateindex.ai/compare/dagster-vs-h2o-ai, data of Nov 2, 2026. Licence: CC BY 4.0.