> For the complete documentation index, see [llms.txt](https://docs.e6data.com/query-engine/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.e6data.com/query-engine/developers/bi-tool-recipes.md).

# BI tool recipes

- [Tableau](https://docs.e6data.com/query-engine/developers/bi-tool-recipes/tableau.md): Connect Tableau Desktop and Tableau Cloud to an e6data cluster over JDBC.
- [Power BI](https://docs.e6data.com/query-engine/developers/bi-tool-recipes/power-bi.md): Connect Power BI to an e6data cluster using the Starburst ODBC driver, with optional on-premises data gateway setup.
- [DBeaver](https://docs.e6data.com/query-engine/developers/bi-tool-recipes/dbeaver.md): Connect the DBeaver SQL client to an e6data cluster using the e6data JDBC driver.
- [DbVisualizer](https://docs.e6data.com/query-engine/developers/bi-tool-recipes/dbvisualizer.md): Connect the DbVisualizer SQL client to an e6data cluster using the e6data JDBC driver.
- [Superset](https://docs.e6data.com/query-engine/developers/bi-tool-recipes/superset.md): Connect Apache Superset to an e6data cluster using the e6data Python package and a SQLAlchemy URI.
- [Metabase](https://docs.e6data.com/query-engine/developers/bi-tool-recipes/metabase.md): Connect Metabase to the e6data query engine using the e6data driver.
- [Notebooks](https://docs.e6data.com/query-engine/developers/bi-tool-recipes/notebooks.md): Connect Jupyter Notebook (via the Python connector) and Apache Zeppelin (via JDBC) to an e6data cluster.


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