Analyze data with Hex
Collaborative data workspace combining notebooks, SQL, and BI. Mix Python analysis with warehouse queries in reactive notebooks, publish interactive apps, and version control with Git integration.
Jupyter notebooks can't connect to warehouses, traditional BI tools can't do custom Python analysis. Hex bridges the gap with SQL + Python notebooks that run against BigQuery, Snowflake, and Postgres, plus the ability to publish results as interactive apps for stakeholders. We implement Hex for data teams that need exploratory analysis and production apps in one platform.
Ready to implement Hex with expert guidance?
Everything you need
Collaborative Hex deployment
We implement Hex with warehouse connections, Git workflows, and app publishing. Combine SQL and Python analysis in reactive notebooks with version control and stakeholder sharing.
- SQL + Python Notebooks
- Mix SQL queries and Python analysis in reactive notebooks. Cells automatically rerun when dependencies change. Query warehouses and transform with pandas in one flow.
- Data App Publishing
- Turn notebooks into interactive apps for stakeholders. Add parameters, filters, and controls. Publish with one click for non-technical users to explore data.
- Git Integration
- Version control for notebooks with branch/merge workflows. Review changes in pull requests, collaborate with code review, and track notebook history like code.
- Warehouse Connections
- Direct BigQuery, Snowflake, Postgres connections without ETL. Query production data in notebooks with SSO authentication and warehouse-native performance.
- Scheduled Runs
- Automate notebook execution and email results. Schedule reports to run daily, trigger workflows from data events, and send outputs to Slack or email.
- Collaborative Editing
- Real-time multiplayer editing like Google Docs. See teammates' cursors, comment on cells, and collaborate on analysis without merge conflicts.
Ready to unify notebooks and BI?
Let's implement Hex with warehouse connections, Git workflows, and app publishing for collaborative data analysis and stakeholder apps.