> ## Documentation Index
> Fetch the complete documentation index at: https://private-7c7dfe99-detect-table-modification.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

> DbVisualizer is a database tool with extended support for ClickHouse.

# Connecting DbVisualizer to ClickHouse

export const CommunityMaintainedBadge = () => {
  return <div className="CommunityMaintainedBadge">
            <div className="CommunityMaintainedIcon">
            <svg xmlns="http://www.w3.org/2000/svg" width="20" height="20" fill="currentColor" viewBox="0 0 256 256">
                <path d="M244.8,150.4a8,8,0,0,1-11.2-1.6A51.6,51.6,0,0,0,192,128a8,8,0,0,1-7.37-4.89,8,8,0,0,1,0-6.22A8,8,0,0,1,192,112a24,24,0,1,0-23.24-30,8,8,0,1,1-15.5-4A40,40,0,1,1,219,117.51a67.94,67.94,0,0,1,27.43,21.68A8,8,0,0,1,244.8,150.4ZM190.92,212a8,8,0,1,1-13.84,8,57,57,0,0,0-98.16,0,8,8,0,1,1-13.84-8,72.06,72.06,0,0,1,33.74-29.92,48,48,0,1,1,58.36,0A72.06,72.06,0,0,1,190.92,212ZM128,176a32,32,0,1,0-32-32A32,32,0,0,0,128,176ZM72,120a8,8,0,0,0-8-8A24,24,0,1,1,87.24,82a8,8,0,1,0,15.5-4A40,40,0,1,0,37,117.51,67.94,67.94,0,0,0,9.6,139.19a8,8,0,1,0,12.8,9.61A51.6,51.6,0,0,1,64,128,8,8,0,0,0,72,120Z"></path>
            </svg>
        </div>
            Community Maintained
        </div>;
};

export const Image = ({img, alt, size = "lg"}) => {
  const normalizedSize = ["sm", "md", "lg"].includes(size) ? size : "lg";
  return <div className={`ch-image-${normalizedSize}`}>
      <Frame>
        <img src={img} alt={alt} />
      </Frame>
    </div>;
};

<h2 id="start-or-download-dbvisualizer">
  Start or download DbVisualizer
</h2>

DbVisualizer is available at [https://www.dbvis.com/download/](https://www.dbvis.com/download/)

<Steps>
  <Step title="Gather your connection details" id="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**:

    <div className="ch-image-md">
      <Frame>
        <img src="https://mintcdn.com/private-7c7dfe99-detect-table-modification/0yJtAU6cqYAQlCWC/images/_snippets/cloud-connect-button.webp?fit=max&auto=format&n=0yJtAU6cqYAQlCWC&q=85&s=2d1e2340e1ddccf3199ca1e41eeba836" alt="ClickHouse Cloud service connect button" width="998" height="932" data-path="images/_snippets/cloud-connect-button.webp" />
      </Frame>
    </div>

    Choose **HTTPS**. Connection details are displayed in an example `curl` command.

    <div className="ch-image-md">
      <Frame>
        <img src="https://mintcdn.com/private-7c7dfe99-detect-table-modification/0yJtAU6cqYAQlCWC/images/_snippets/connection-details-https.webp?fit=max&auto=format&n=0yJtAU6cqYAQlCWC&q=85&s=2ea2af378046d5ec87ea8e78de573bc1" alt="ClickHouse Cloud HTTPS connection details" width="1320" height="1184" data-path="images/_snippets/connection-details-https.webp" />
      </Frame>
    </div>

    If you're using self-managed ClickHouse, the connection details are set by your ClickHouse administrator.
  </Step>

  <Step title="Built-in JDBC driver management" id="2-built-in-jdbc-driver-management">
    DbVisualizer has the most up-to-date JDBC drivers for ClickHouse included. It has full JDBC driver management built right in that points to the latest releases as well as historical versions for the drivers.

    <Image img="https://mintcdn.com/private-7c7dfe99-detect-table-modification/sWsbrb2bBAr-0f9w/images/integrations/sql-clients/dbvisualizer-driver-manager.webp?fit=max&auto=format&n=sWsbrb2bBAr-0f9w&q=85&s=e08d060f6068cc1e8261305608460220" size="lg" border alt="DbVisualizer driver manager interface showing ClickHouse JDBC driver configuration" width="1001" height="600" data-path="images/integrations/sql-clients/dbvisualizer-driver-manager.webp" />
  </Step>

  <Step title="Connect to ClickHouse" id="3-connect-to-clickhouse">
    To connect a database with DbVisualizer, you must first create and setup a Database Connection.

    1. Create a new connection from **Database->Create Database Connection** and select a driver for your database from the popup menu.

    2. An **Object View** tab for the new connection is opened.

    3. Enter a name for the connection in the **Name** field, and optionally enter a description of the connection in the **Notes** field.

    4. Leave the **Database Type** as **Auto Detect**.

    5. If the selected driver in **Driver Type** is marked with a green check mark then it is ready to use. If it isn't marked with a green check mark, you may have to configure the driver in the **Driver Manager**.

    6. Enter information about the database server in the remaining fields.

    7. Verify that a network connection can be established to the specified address and port by clicking the **Ping Server** button.

    8. If the result from Ping Server shows that the server can be reached, click **Connect** to connect to the database server.

    <Tip>
      See [Fixing Connection Issues](https://www.dbvis.com/docs/ug/troubleshooting/fixing-connection-issues/) for some tips if you have problems connecting to the database.
    </Tip>
  </Step>
</Steps>

<h2 id="learn-more">
  Learn more
</h2>

Find more information about DbVisualizer visit the [DbVisualizer documentation](https://www.dbvis.com/docs/ug/).