The AI-powered data notebook โ SQL, Python, and no-code in one canvas.
Hex is the AI data notebook that lets SQL people, Python people, and business analysts all work in the same canvas. Write a SQL query, pipe the result into a Python cell, build a chart, share the dashboard โ all without leaving the page. The 2025-2026 addition: Magic AI that writes queries from natural language, debugs your Python, builds entire apps from a prompt, and explains results to non-technical stakeholders.
Who it's for: Data scientists, analytics engineers, data analysts, product analysts, and anyone who lives in a mix of SQL, Python, and BI tools.
Mix cells freely. Write SQL, reference the dataframe in Python, build a chart with no-code. Variables flow between cells like a real notebook, but it deploys as an app.
Type 'show me weekly active users by cohort' and it writes the SQL, runs it, builds a chart, and explains the result. It's like having a senior analyst on call.
Turn a notebook into a shareable, parameterized data app with one click. Stakeholders get a clean UI; you keep the code. Better than Tableau, easier than Streamlit.
Native connectors to Snowflake, BigQuery, Databricks, Redshift, Postgres, MySQL, MongoDB, dbt, and 50+ more. Schedule, cache, and parameterize with version control.
Hex is the best new data tool in years. If you're a data scientist or analyst tired of stitching together Jupyter + Mode + Tableau + Looker, this is the platform to bet on in 2026. The Magic AI isn't a gimmick โ it actually saves hours per week. Expensive, but the productivity gain pays for itself.