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Visualizing Data in ClickHouse


Now that your data is in ClickHouse, it’s time to analyze it, which often involves building visualizations using a BI tool. Many of the popular BI and visualization tools connect to ClickHouse. Some connect to ClickHouse out-of-the-box, while others require a connector to be installed. We have docs for some of the tools, including:

ClickHouse Cloud compatibility with data visualization tools

Tool Supported via Tested Documented Comment
Apache Superset ClickHouse official connector ✅ ✅
Astrato Native connector ✅ ✅ Works natively using pushdown SQL (direct query only).
AWS QuickSight MySQL interface ✅ ✅ Works with some limitations, see the documentation for more details
Chartbrew ClickHouse official connector ✅ ✅
Databrain Native connector ✅ ✅
Deepnote Native connector ✅ ✅
Dot Native connector ✅ ✅
Explo Native connector ✅ ✅
Fabi.ai Native connector ✅ ✅
Grafana ClickHouse official connector ✅ ✅
Hashboard Native connector ✅ ✅
Holistics Native connector ✅ ✅
Lightdash Native connector ✅ ✅
Looker Native connector ✅ ✅ Works with some limitations, see the documentation for more details
Looker MySQL interface 🚧 ❌
Luzmo ClickHouse official connector ✅ ✅
Looker Studio MySQL interface ✅ ✅
Metabase ClickHouse official connector ✅ ✅
Mitzu Native connector ✅ ✅
Omni Native connector ✅ ✅
Power BI Desktop ClickHouse official connector ✅ ✅ Via ODBC, supports direct query mode
Power BI service ClickHouse official connector ✅ ✅ A Microsoft Data Gateway setup is required
Querio Native connector ✅ ✅
Rill Native connector ✅ ✅
Rocket BI Native connector ✅ ❌
Tableau Desktop ClickHouse official connector ✅ ✅
Tableau Online MySQL interface ✅ ✅ Works with some limitations, see the documentation for more details
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