Hex

The collaborative notebook where data teams ship answers.

About Hex

Hex unifies SQL, Python, and AI in one collaborative workspace for data teams. Analysts build notebook analyses with the Hex agent’s help, then publish them as polished interactive data apps for stakeholders. Semantic context keeps AI answers consistent with agreed business definitions, and everything integrates with Snowflake, BigQuery, dbt, and the modern data stack.

Key features

Collaborative SQL/Python notebooks
Hex AI agent for code and analysis
Interactive data apps from notebooks
Semantic layer for governed AI answers
Deep warehouse and dbt integrations

Hex screenshots

Hex: pros & cons

Pros

Collaborative SQL/Python notebooks built for data teams
Hex AI agent assists with code and analysis
Turn notebooks into interactive data apps for stakeholders
Deep warehouse and dbt integrations

Cons

Overkill for simple spreadsheet-level analysis
Pricing scales with team size
Requires SQL or Python knowledge for full value

Hex FAQs

Is Hex free?

Yes, there is a free tier; team and enterprise features are paid.

What is Hex best for?

Collaborative data analysis and sharing insights as interactive apps.

Does Hex replace BI tools?

It complements them — great for analysis workflows, with app-sharing for stakeholders.

Who should use Hex?

Data analysts, data scientists, and analytics engineers.