Domino Data Lab vs H2O.ai
Domino Data Lab
domino.ai
H2O.ai
h2o.aiSide by side
| Figure | Domino Data Lab | H2O.ai |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| iOS | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 0 |
| Spec score · MLOps Platforms | 7.5 (#12) | 7.7 (#8) |
| Spec score · Data Science Platforms | 7.4 (#15) | 7.6 (#13) |
| Company history | Domino says Nick Elprin co-founded the company in 2013 and that it launched its data science platform in 2014. | H2O.ai says it began as a group from the open-source community and has since become a global company. |
| Compliance | Domino states that it is certified to ISO 27001:2022, ISO 9001:2015, SOC 2, GDPR, and HIPAA, and supports additional regulated-industry frameworks. | The H2O AI Cloud page states that H2O.ai achieved SOC 2 Type 2 and HIPAA/HITECH reports with unqualified status. |
| Deployment | Domino supports deployment of apps such as Streamlit, Dash, and Shiny, which can scale with user demand and use discovery and approval workflows. | H2O AI Cloud is available as H2O.ai-managed cloud or as a self-hosted deployment in a private cloud or on-premises. |
| Deployment options | Domino describes managed single-tenant SaaS and self-managed deployments in AWS, Azure, GCP, or on-premises, including air-gapped environments. | H2O AI Cloud is available as H2O.ai managed cloud or self-hosted in a private cloud or on-premises. |
| Founded | 2013 | 2012 |
| Headquarters | San Francisco, California, United States | Mountain View, California, United States |
| Security | The security page describes single-tenant isolation, secure development practices, vulnerability scanning, third-party penetration tests, and SIEM-integrated monitoring. | H2O says it maintains SOC 2 Type II certification and uses encryption at rest and in transit, role-based access controls, monitoring, audits, penetration testing, vulnerability scanning, and code reviews. |
| Support | All plans include premium or enterprise support; the pricing page lists a two-business-day support SLA for Cloud and Premium and a one-business-day SLA for Enterprise. | H2O.ai offers a support portal and says customers can connect with its experts for tailored enterprise support. |
Plans
Domino Data Lab
- Domino CloudPriced on request
- EnterprisePriced on request
- PremiumPriced on request
In their own words
Domino Data Lab
Domino Data Lab has no write-up on Specifiction yet; its figures are above.
H2O.ai
H2O.ai provides software for generative AI, predictive AI, machine learning operations, and AI application development. H2O AI Cloud combines automated machine learning with no-code deep learning in an end-to-end environment for creating, deploying, monitoring, and sharing models and applications. AutoML handles feature engineering, validation, model selection, and tuning, while H2O MLOps validates models and monitors performance. Deployment can use H2O.ai’s managed cloud, a private cloud, or on-premises infrastructure, including Google Cloud Platform, Amazon Web Services, and Microsoft Azure. h2oGPTe supports multimodal, agentic, code-assistant, citation-RAG, guardrail, and model-routing capabilities, with responses grounded in private repositories, knowledge bases, and databases. H2O LLM Studio provides no-code language-model fine-tuning. H2O Wave is an open-source Python framework, and H2O-3 is Apache-licensed for Python and R. The platform supports SQL, natural-language queries, visualizations, team collaboration, and CSV or Parquet exports.