Connect to Azure Data Lake Storage Data in Aqua Data Studio

Ready to get started?

Download for a free trial:

Download Now

Learn more:

Azure Data Lake Storage JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Azure Data Lake Storage.



Access Azure Data Lake Storage data from tools in Aqua Data Studio such as the Visual Query Builder and the Table Data Editor.

The CData JDBC Driver for Azure Data Lake Storage integrates Azure Data Lake Storage data with wizards and analytics in IDEs like Aqua Data Studio. This article shows how to connect to Azure Data Lake Storage data through the connection manager and execute queries.

Create a JDBC Data Source

You can use the connection manager to define connection properties and save them in a new JDBC data source. The Azure Data Lake Storage data source can then be accessed from Aqua Data Studio tools.

  1. In Aqua Data Studio, select Register Server from the Servers menu.
  2. In the Register Server form, select the 'Generic - JDBC' connection.
  3. Enter the following JDBC connection properties:
    • Name: Enter a name for the data source; for example, Azure Data Lake Storage.
    • Driver Location: Click the Browse button and select the cdata.jdbc.adls.jar file, located in the lib subfolder of the installation directory.
    • Driver: Enter the Driver's class name, cdata.jdbc.adls.ADLSDriver.
    • URL: Enter the JDBC URL, which starts with jdbc:adls: and is followed by a semicolon-separated list of connection properties.

      Authenticating to a Gen 1 DataLakeStore Account

      Gen 1 uses OAuth 2.0 in Azure AD for authentication.

      For this, an Active Directory web application is required. You can create one as follows:

      1. Sign in to your Azure Account through the .
      2. Select "Azure Active Directory".
      3. Select "App registrations".
      4. Select "New application registration".
      5. Provide a name and URL for the application. Select Web app for the type of application you want to create.
      6. Select "Required permissions" and change the required permissions for this app. At a minimum, "Azure Data Lake" and "Windows Azure Service Management API" are required.
      7. Select "Key" and generate a new key. Add a description, a duration, and take note of the generated key. You won't be able to see it again.

      To authenticate against a Gen 1 DataLakeStore account, the following properties are required:

      • Schema: Set this to ADLSGen1.
      • Account: Set this to the name of the account.
      • OAuthClientId: Set this to the application Id of the app you created.
      • OAuthClientSecret: Set this to the key generated for the app you created.
      • TenantId: Set this to the tenant Id. See the property for more information on how to acquire this.
      • Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.

      Authenticating to a Gen 2 DataLakeStore Account

      To authenticate against a Gen 2 DataLakeStore account, the following properties are required:

      • Schema: Set this to ADLSGen2.
      • Account: Set this to the name of the account.
      • FileSystem: Set this to the file system which will be used for this account.
      • AccessKey: Set this to the access key which will be used to authenticate the calls to the API. See the property for more information on how to acquire this.
      • Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.

      Built-in Connection String Designer

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

      java -jar cdata.jdbc.adls.jar

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

      A typical JDBC URL is below:

      jdbc:adls:Schema=ADLSGen2;Account=myAccount;FileSystem=myFileSystem;AccessKey=myAccessKey;InitiateOAuth=GETANDREFRESH

Query Azure Data Lake Storage Data

You can now query the tables exposed.