> ## 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. > DBeaver is a multi-platform database tool. # Connect DBeaver to ClickHouse export const PartnerBadge = () => { return

Partner Integration

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; }; DBeaver is available in multiple offerings. In this guide [DBeaver Community](https://dbeaver.io/) is used. See the various offerings and capabilities [here](https://dbeaver.com/edition/). DBeaver connects to ClickHouse using JDBC. Please use DBeaver version 23.1.0 or above for improved support of `Nullable` columns in ClickHouse.

1. Gather your ClickHouse details

DBeaver uses JDBC over HTTP(S) to connect to ClickHouse; you need: * endpoint * port number * username * password

2. Download DBeaver

DBeaver is available at [https://dbeaver.io/download/](https://dbeaver.io/download/)

3. Add a database

* Either use the **Database > New Database Connection** menu or the **New Database Connection** icon in the **Database Navigator** to bring up the **Connect to a database** dialog: Add a new database

* Select **Analytical** and then **ClickHouse**: * Build the JDBC URL. On the **Main** tab set the Host, Port, Username, Password, and Database: Set the hostname, port, user, password, and database name

Set the hostname, port, user, password, and database name

* By default the **SSL > Use SSL** property will be unset, if you're connecting to ClickHouse Cloud or a server that requires SSL on the HTTP port, then set **SSL > Use SSL** on: Enable SSL if required

* Test the connection:

If DBeaver detects that you don't have the ClickHouse driver installed it will offer to download them for you: Download the ClickHouse driver

* After downloading the driver **Test** the connection again: Test the connection

4. Query ClickHouse

Open a query editor and run a query. * Right click on your connection and choose **SQL Editor > Open SQL Script** to open a query editor: Open the SQL editor

* An example query against `system.query_log`: A sample query

Next steps

See the [DBeaver wiki](https://github.com/dbeaver/dbeaver/wiki) to learn about the capabilities of DBeaver, and the [ClickHouse documentation](/) to learn about the capabilities of ClickHouse.