Connect to Databricks Data in RazorSQL



Connect to Databricks from wizards and query Databricks data from the GUI in the RazorSQL database management tool.

The CData JDBC Driver for Databricks enables standards-based access from third-party tools, from wizards in IDEs to data management and analysis tools. This article shows how to connect to Databricks using wizards in RazorSQL.

About Databricks Data Integration

Accessing and integrating live data from Databricks has never been easier with CData. Customers rely on CData connectivity to:

  • Access all versions of Databricks from Runtime Versions 9.1 - 13.X to both the Pro and Classic Databricks SQL versions.
  • Leave Databricks in their preferred environment thanks to compatibility with any hosting solution.
  • Secure authenticate in a variety of ways, including personal access token, Azure Service Principal, and Azure AD.
  • Upload data to Databricks using Databricks File System, Azure Blog Storage, and AWS S3 Storage.

While many customers are using CData's solutions to migrate data from different systems into their Databricks data lakehouse, several customers use our live connectivity solutions to federate connectivity between their databases and Databricks. These customers are using SQL Server Linked Servers or Polybase to get live access to Databricks from within their existing RDBMs.

Read more about common Databricks use-cases and how CData's solutions help solve data problems in our blog: What is Databricks Used For? 6 Use Cases.


Getting Started


Create a JDBC Data Source for Databricks Data

  1. Open the RazorSQL application and, in the Connections menu, select Add Connection Profile -> Other -> JDBC.
  2. In the Connection Wizard that appears, set the following properties:
    • Driver Location: Set this property to the path to the lib subfolder in the installation directory.
    • Driver Class: Set the driver class to cdata.jdbc.databricks.DatabricksDriver.
    • Username: Enter the username. (This property can also be set in the JDBC URL.)
    • Password: Enter the password. (This property can also be set in the JDBC URL.)
    • JDBC URL: Enter connection parameters. The JDBC URL begins with jdbc:databricks: and is followed by a semicolon-separated list of connection properties.

      To connect to a Databricks cluster, set the properties as described below.

      Note: The needed values can be found in your Databricks instance by navigating to Clusters, and selecting the desired cluster, and selecting the JDBC/ODBC tab under Advanced Options.

      • Server: Set to the Server Hostname of your Databricks cluster.
      • HTTPPath: Set to the HTTP Path of your Databricks cluster.
      • Token: Set to your personal access token (this value can be obtained by navigating to the User Settings page of your Databricks instance and selecting the Access Tokens tab).

      Built-in Connection String Designer

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

      java -jar cdata.jdbc.databricks.jar

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

      A typical JDBC URL is the following:

      jdbc:databricks:Server=127.0.0.1;Port=443;TransportMode=HTTP;HTTPPath=MyHTTPPath;UseSSL=True;User=MyUser;Password=MyPassword;

Query Databricks Data and Select Tables

After establishing a connection, the wizard will close and the connection will be available in the connections panel. You can then query the tables.

Ready to get started?

Download a free trial of the Databricks Driver to get started:

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Learn more:

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