> ## Documentation Index > Fetch the complete documentation index at: https://private-7c7dfe99-mintlify-86180b7b.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. > Looker is an enterprise platform for BI, data applications, and embedded analytics that helps you explore and share insights in real time. # Looker export const PartnerBadge = () => { return
Partner Integration
; }; export const Image = ({img, alt, size}) => { return {alt} ; }; Looker can connect to ClickHouse Cloud or on-premise deployment via the official ClickHouse data source.

1. Gather your connection details

To connect to ClickHouse with HTTP(S) you need this information: | Parameter(s) | Description | | ------------------------- | -------------------------------------------------------------------------------------------------------------- | | `HOST` and `PORT` | Typically, the port is 8443 when using TLS or 8123 when not using TLS. | | `DATABASE NAME` | Out of the box, there is a database named `default`, use the name of the database that you want to connect to. | | `USERNAME` and `PASSWORD` | Out of the box, the username is `default`. Use the username appropriate for your use case. | The details for your ClickHouse Cloud service are available in the ClickHouse Cloud console. Select a service and click **Connect**: ClickHouse Cloud service connect button Choose **HTTPS**. Connection details are displayed in an example `curl` command. ClickHouse Cloud HTTPS connection details If you're using self-managed ClickHouse, the connection details are set by your ClickHouse administrator.

2. Create a ClickHouse data source

Navigate to Admin -> Database -> Connections and click the "Add Connection" button in the top right corner. Adding a new connection in Looker's database management interface
Choose a name for your data source, and select `ClickHouse` from the dialect drop-down. Enter your credentials in the form. Specifying your ClickHouse credentials in Looker connection form
If you're using ClickHouse Cloud or your deployment requires SSL, make sure you have SSL turned on in the additional settings. Enabling SSL for ClickHouse connection in Looker settings
Test your connection first, and, once it is done, connect to your new ClickHouse data source. Testing and connecting to the ClickHouse data source
Now you should be able to attach ClickHouse Datasource to your Looker project.

3. Known limitations

1. The following data types are handled as strings by default: * Array - serialization doesn't work as expected due to the JDBC driver limitations * Decimal\* - can be changed to number in the model * LowCardinality(...) - can be changed to a proper type in the model * Enum8, Enum16 * UUID * Tuple * Map * JSON * Nested * FixedString * Geo types * MultiPolygon * Polygon * Point * Ring 2. [Symmetric aggregate feature](https://cloud.google.com/looker/docs/reference/param-explore-symmetric-aggregates) isn't supported 3. [Full outer join](https://cloud.google.com/looker/docs/reference/param-explore-join-type#full_outer) isn't yet implemented in the driver