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Use the CData ODBC Driver to connect to Databricks data in DBeaver.
NOTE: The Legacy ODBC driver was removed in DBeaver Community Edition 23.1. As an alternative, you can use a CData JDBC Driver (learn how here: How to Connect DBeaver to Databricks via JDBC). If you need to use ODBC Drivers, refer to the DBeaver Documentation.
The CData ODBC Driver for Databricks enables access to live data from Databricks under the ODBC standard, allowing you work with Databricks data in a wide variety of BI, reporting, and ETL tools and directly, using familiar SQL queries. This article shows how to manage Databricks data with visual tools in DBeaver like the query browser.
The CData ODBC drivers offer unmatched performance for interacting with live Databricks data in DBeaver due to optimized data processing built into the driver. When you issue complex SQL queries from DBeaver to Databricks, the driver pushes supported SQL operations, like filters and aggregations, directly to Databricks and utilizes the embedded SQL engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can manage and analyze Databricks data.
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
Connect to Databricks
If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can configure the DSN using the Microsoft ODBC Data Source Administrator. This is also the last step of the driver installation. See the "Getting Started" chapter in the Help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.
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).
Finally, set the "Map To WVarchar connection property to False in the DSN Configuration window for the driver. This configuration will allow string types to be mapped to SQL_VARCHAR and prevent SQL_WVARCHAR types from being displayed as NULL.

Connecting to the Databricks ODBC Data Source in DBeaver
- Open the DBeaver application and in the Database menu, select the New Database Connection option.
- In the 'Connect to a database' window, select ODBC and click Next.
- In the Database/Schema field, enter the DSN name (CData Databricks Source by default). It will be automatically added to the JDBC URL as well.
- Click the Test Connection button. You should receive a 'Connected' message after DBeaver has detected the DSN, along with details about the driver if the connection is successful.
Query Databricks Data
You can now query information from the tables exposed by the data source connection. You can expand the database structure in order to view all the tables. You can retrieve the table's data by right-clicking on a table name and selecting View data. The data will then be available in the Data tab.

Free Trial & More Information
At this point, you have connected to live Databricks data from DBeaver. For more information, visit the CData ODBC Driver page. Download a free, 30-day trial and start working live Databricks data DBeaver today.