Ready to get started?

Download a free trial of the Google BigQuery Driver to get started:

 Download Now

Learn more:

Google BigQuery Icon Google BigQuery JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Google BigQuery data including Tables and Datasets.

How to Connect DBeaver to BigQuery via a JDBC Driver



Manage BigQuery data with visual tools in DBeaver like the query browser.

The CData JDBC Driver for Google BigQuery implements JDBC standards that enable third-party tools to interoperate, from wizards in IDEs to business intelligence tools. This article shows how to connect to BigQuery data with wizards in DBeaver and browse data in the DBeaver GUI.

Create a JDBC Data Source for BigQuery Data

Follow the steps below to load the driver JAR in DBeaver.

  1. Open the DBeaver application and, in the "Database" menu, select the "Driver Manager" option. Click "New" to open the "Create new driver" form.
  2. In the Settings tab:
    • Set Driver Name to a user-friendly name for the driver (e.g. CData JDBC Driver for Google BigQuery).
    • Set Class Name to the class name for the JDBC driver: cdata.jdbc.googlebigquery.GoogleBigQueryDriver.
    • Set URL Template to jdbc:googlebigquery:.
  3. In the Libraries tab, click "Add File," navigate to the "lib" folder in the installation directory (C:\Program Files\CData[product_name] XXXX\) and select the JAR file (cdata.jdbc.GoogleBigQuery.jar).

Create a Connection to BigQuery Data

Follow the steps below to add credentials and other required connection properties.

  1. In the "Database" menu, click "New Database Connection."
  2. In the "Connect to a database" wizard that results, select the driver you just created (e.g. CData JDBC Driver for Google BigQuery) and click "Next >."
  3. On the Main tab of the configuration wizard, set the JDBC URL, using the required connection properties:

    Google uses the OAuth authentication standard. To access Google APIs on behalf of individual users, you can use the embedded credentials or you can register your own OAuth app.

    OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, you will need to register an application to obtain the OAuth JWT values.

    In addition to the OAuth values, you will need to specify the DatasetId and ProjectId. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

    Built-in Connection String Designer

    For assistance in constructing the JDBC URL, use the connection string designer built into the BigQuery JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

    java -jar cdata.jdbc.googlebigquery.jar

    Fill in the connection properties and copy the connection string to the clipboard.

    Below is a typical connection string:

    jdbc:googlebigquery:DataSetId=MyDataSetId;ProjectId=MyProjectId;InitiateOAuth=GETANDREFRESH
  4. Click "Test Connection ..." to ensure you have configured the connection properly.
  5. Click "Finish."

Query BigQuery Data

You can now query information from the tables exposed by the connection: Right-click a Table and then click View Table. The data is available on the Data tab.

More Information & Free Trial

Download a free, 30-day trial of the CData JDBC Driver for Google BigQuery and start working with your live BigQuery data in DBeaver. Join the CData Community or reach out to our Support Team if you have any questions.