> ## Documentation Index
> Fetch the complete documentation index at: https://private-7c7dfe99-fix-nav-issues.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 = () => {
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            Community Maintained
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export const Image = ({img, alt, size}) => {
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<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/)

<h2 id="1-gather-your-connection-details">
  1. Gather your connection details
</h2>

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**:

<Image img="https://mintcdn.com/private-7c7dfe99-fix-nav-issues/1oh4rjwfuHRS2yL2/images/_snippets/cloud-connect-button.png?fit=max&auto=format&n=1oh4rjwfuHRS2yL2&q=85&s=81c1524ac8ac2dac27e1558f13fcfd29" size="md" alt="ClickHouse Cloud service connect button" border width="998" height="932" data-path="images/_snippets/cloud-connect-button.png" />

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

<Image img="https://mintcdn.com/private-7c7dfe99-fix-nav-issues/1oh4rjwfuHRS2yL2/images/_snippets/connection-details-https.png?fit=max&auto=format&n=1oh4rjwfuHRS2yL2&q=85&s=335e19954512afe36d735a736cd32be7" size="md" alt="ClickHouse Cloud HTTPS connection details" border width="1320" height="1184" data-path="images/_snippets/connection-details-https.png" />

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

<h2 id="2-built-in-jdbc-driver-management">
  2. Built-in JDBC driver management
</h2>

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-fix-nav-issues/OHCdlXRrniGWimcZ/images/integrations/sql-clients/dbvisualizer-driver-manager.png?fit=max&auto=format&n=OHCdlXRrniGWimcZ&q=85&s=5c840e81051354fcd3e5edbbb1d53007" 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.png" />

<h2 id="3-connect-to-clickhouse">
  3. Connect to ClickHouse
</h2>

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.

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

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