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URL: https://www.cdata.com/kb/tech/snowflake-jdbc-dbartisan.rst

⇱ Manage Snowflake Data in DBArtisan as a JDBC Source

Manage Snowflake Data in DBArtisan as a JDBC Source

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use wizards in DBArtisan to create a JDBC data source for Snowflake.

The CData JDBC Driver for Snowflake seamlessly integrates Snowflake data into database management tools like DBArtisan by enabling you to access Snowflake data as a database. This article shows how to create a JDBC source for Snowflake in DBArtisan. You can then edit data visually and execute standard SQL.

About Snowflake Data Integration

CData simplifies access and integration of live Snowflake data. Our customers leverage CData connectivity to:

  • Reads and write Snowflake data quickly and efficiently.
  • Dynamically obtain metadata for the specified Warehouse, Database, and Schema.
  • Authenticate in a variety of ways, including OAuth, OKTA, Azure AD, Azure Managed Service Identity, PingFederate, private key, and more.

Many CData users use CData solutions to access Snowflake from their preferred tools and applications, and replicate data from their disparate systems into Snowflake for comprehensive warehousing and analytics.

For more information on integrating Snowflake with CData solutions, refer to our blog: https://www.cdata.com/blog/snowflake-integrations.


Getting Started


Integrate Snowflake Data into DBArtisan Projects

Follow the steps below to register Snowflake data as a database instance in your project:

  1. In DBArtisan, click Data Source -> Register Datasource.
  2. Select Generic JDBC.
  3. Click Manage.
  4. In the resulting dialog, click New. Enter a name for the driver and click Add. In the resulting dialog, navigate to the driver JAR. The driver JAR is located in the lib subfolder of the installation directory. 👁 The JDBC driver definition in the Register Datasource wizard. (Salesforce is shown.)
  5. In the Connection URL box, enter credentials and other required connection properties in the JDBC URL.

    To connect to Snowflake:

    1. Set User and Password to your Snowflake credentials and set the AuthScheme property to PASSWORD or OKTA.
    2. Set URL to the URL of the Snowflake instance (i.e.: https://myaccount.snowflakecomputing.com).
    3. Set Warehouse to the Snowflake warehouse.
    4. (Optional) Set Account to your Snowflake account if your URL does not conform to the format above.
    5. (Optional) Set Database and Schema to restrict the tables and views exposed.
    6. (Optional) If MFA is enabled on your Snowflake account (via Duo Security), set MFACode to the passcode generated by your Duo authenticator app.

    See the Getting Started guide in the CData driver documentation for more information.

    Built-in Connection String Designer

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

    java -jar cdata.jdbc.snowflake.jar

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

    👁 Required JDBC connection properties in the Register Datasource wizard. (Salesforce is shown.)

    Below is a typical connection string:

    jdbc:snowflake:Authscheme=Password;URL=https://myaccount.snowflakecomputing.com;User=Admin;Password=test123;Server=localhost;Database=Northwind;Warehouse=TestWarehouse;Account=Tester1;MFACode=YourMFACode
  6. Finish the wizard to connect to Snowflake data. Snowflake entities are displayed in the Datasource Explorer.

You can now work with Snowflake data as you work with any other database. See the driver help documentation for more information on the queries supported by the Snowflake API.

👁 The results of a query. (Salesforce is shown.)