Hex

The collaborative notebook for data apps: SQL, Python and no-code cells that publish as interactive apps, now with an AI that writes the cells with you.

Product preview

Overview

Hex is the notebook that grew up into a product: not a private Jupyter tab, a shared canvas of SQL and Python that publishes as an app a PM can click. The AI writes the next cell; the warehouse stays where it is. Julius is the consumer cousin; Hex is the company one.

It is expensive next to a local notebook. It is cheap next to a custom internal app for every question. If the culture is “put it in a slide,” Hex is how you stop. If the culture is already dbt plus Looker, it is another seat to justify.

Pros / Cons

Pros

Notebook that publishes as an app
AI drafts SQL with warehouse context
Multiplayer, so the analysis is not a file
Lives next to the warehouse, not a CSV export

Cons

Paid, and seats add up for a data team
Another surface if Looker already answers
AI SQL still needs a human to trust the join

Who it's for

Shared SQL/Python analysis that becomes an app

AI-drafted warehouse queries

Replacing slide-export analytics

Multiplayer notebooks for a data team

Bottom line

The data notebook that publishes — buy it to stop exporting analysis into slides.

Key Features

Multiplayer notebooks (SQL + Python)

Publish cells as data apps

AI that drafts queries and charts

Warehouse-native connections

Comments and versioning for analysts

Compare Hex with alternatives

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Frequently asked questions

What is Hex?

Hex is a Productivity tool developed by Hex. The company was founded in 2019 and is headquartered in San Francisco, USA. The collaborative notebook for data apps: SQL, Python and no-code cells that publish as interactive apps, now with an AI that writes the cells with you.