> ## Documentation Index
> Fetch the complete documentation index at: https://private-7c7dfe99-mintlify-8a08bda2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.
> Efficiently query very large datasets, analyzing and modeling in the comfort of known notebook environment.
# Connect ClickHouse to Deepnote
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Deepnote is a collaborative data notebook built for teams to discover and share insights. In addition to being Jupyter-compatible, it works in the cloud and provides you with one central place to collaborate and work on data science projects efficiently.
This guide assumes you already have a Deepnote account and that you have a running ClickHouse instance.
Interactive example
If you would like to explore an interactive example of querying ClickHouse from Deepnote data notebooks, click the button below to launch a template project connected to the [ClickHouse playground](/get-started/sample-datasets/playground).
[
](https://deepnote.com/launch?template=ClickHouse%20and%20Deepnote)
Connect to ClickHouse
1. Within Deepnote, select the "Integrations" overview and click on the ClickHouse tile.
2. Provide the connection details for your ClickHouse instance:
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**:
Choose **HTTPS**. Connection details are displayed in an example `curl` command.
If you're using self-managed ClickHouse, the connection details are set by your ClickHouse administrator.
***NOTE:*** If your connection to ClickHouse is protected with an IP Access List, you might need to allow Deepnote's IP addresses. Read more about it in [Deepnote's docs](https://docs.deepnote.com/integrations/authorize-connections-from-deepnote-ip-addresses).
3. Congratulations! You have now integrated ClickHouse into Deepnote.
Using ClickHouse integration.
1. Start by connecting to the ClickHouse integration on the right of your notebook.
2. Now create a new ClickHouse query block and query your database. The query results will be saved as a DataFrame and stored in the variable specified in the SQL block.
3. You can also convert any existing [SQL block](https://docs.deepnote.com/features/sql-cells) to a ClickHouse block.