Deepnote vs H2O.ai
Deepnote
deepnote.com
H2O.ai
h2o.aiSide by side
| Figure | Deepnote | H2O.ai |
|---|---|---|
| Price from | $3,920/mo | — |
| Free plan | Yes | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| iOS | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 0 |
| Spec score · Data Science Platforms | 8.5 (#4) | 7.6 (#13) |
| Spec score · Data Science and Machine Learning Platforms | 8.4 (#5) | 7.5 (#10) |
| Spec score · Data Science Analytics | 8.4 (#7) | 7.6 (#18) |
| Founded | 2019 | 2012 |
| Integrations | The maker lists built-in integrations including PostgreSQL, BigQuery, Amazon S3, MySQL, Snowflake, GitHub, and dbt. | The AI App Store shares identity and storage with other H2O AI Hybrid Cloud components and integrates with H2O MLOps and AI Engines. |
| Product | Deepnote describes itself as an AI workspace for data professionals for data analysis, exploration, and machine learning. | H2O AI Cloud is an end-to-end platform for creating, deploying, monitoring, and sharing AI models and applications. |
| Support | Deepnote provides all customers technical support through Intercom and email on weekdays from 9 am to 5 pm Pacific Time as a minimum. | H2O.ai offers a support portal and says customers can connect with its experts for tailored enterprise support. |
Plans
In their own words
Deepnote
Deepnote is an AI workspace for data professionals working on data analysis, exploration, and machine learning. Its copilot can chat with data, make charts, and write code; notebooks can also become dashboards or interactive apps with live data. Teams can collaborate in notebooks, comment on blocks, and share work by link or email invitation. Notebooks can run on hourly, daily, weekly, or monthly schedules, or be deployed as APIs. Listed integrations include PostgreSQL, BigQuery, Amazon S3, MySQL, Snowflake, GitHub, and dbt. Deepnote supports Python, SQL, R, and Stata, with a hybrid execution model and notebook formats including .deepnote, .ipynb, .qmd, .py, and PDF. The free plan allows up to three editors and five projects, with seven-day revision history. Paid pricing starts at $39/user/mo (annual); a 14-day trial is listed. Deepnote says it has SOC 2 Type II certification, encrypts data at rest and in transit, and does not use customer data to improve AI or ML models.
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.