What is Hex?
Hex combines a SQL/Python notebook environment with the ability to publish a notebook's output as an interactive app or dashboard for non-technical stakeholders, positioning it between a plain notebook (Jupyter) and a traditional drag-and-drop BI tool. It connects to a customer's existing data warehouse rather than storing data itself.
Read the full overview
Sources checked 27 September 2026: official website, documentation, pricing.
Key capabilities
- Notebook cells: Mix SQL and Python/R in one analysis.
- Published apps: Turn a notebook into an interactive, parameterized app for other users.
- Warehouse-native: Connects to and queries your existing data warehouse.
Notebook-based data analysis with a path to sharing interactive apps/dashboards, sitting between raw notebooks and traditional BI. It is not a database itself.
Consider Hex when analysts want notebook-level flexibility (SQL plus Python/R) but also need to hand a polished, interactive result to non-technical stakeholders without rebuilding it in a separate BI tool.
The relevant test is whether a published app actually replaces a one-off dashboard request for your stakeholders, not just whether the notebook experience is pleasant for analysts.
Technical details
- Access
- See vendor
- Source model
- Other license
- Founded
- 2019
- Headquarters
- San Francisco, USA
- Pricing model
- Freemium
- API
- Available
- Website
- hex.tech ↗
Official resources
What to verify for your environment
Start from the users, systems and operating responsibilities the tool needs to support.
- Confirm current features, licensing and support terms with the publisher.
- Validate deployment, data location, access control, backup and recovery requirements.
- Test integrations, export paths and a representative operational workflow before committing.
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