Configuring Databricks Accounts

Configuring Databricks Accounts

This page is no longer maintained (Nov 12, 2025). For the most current information, go to https://docs.snaplogic.com/snaps/snaps-data/sp-databricks/sp-databricks-account-config.html.

Overview

You must create Databricks accounts to connect to Databricks Snaps in your Pipelines with the source or target CDWs (databases)This account enables you to write-and-transform data in the target databases hosted in the cloud locations listed in the following table. The JDBC URL you configure for your target database indicates the respective cloud location where the database is hosted. You can configure your Databricks accounts in SnapLogic using either the Designer or the Manager.

Target Database

Supported Cloud Location

Cloud Location in JDBC URL

Target Database

Supported Cloud Location

Cloud Location in JDBC URL

Databricks Lakehouse Platform (DLP)

AWS

jdbc:spark://<your_instance_code>.cloud.databricks.com or jdbc:databricks://<your_instance_code>.cloud.databricks.com

Microsoft Azure

jdbc:spark://<your_instance_code>.azuredatabricks.net or jdbc:databricks://<your_instance_code>.azuredatabricks.net

Limitations

  • With the basic authentication type for Databricks Lakehouse Platform (DLP) reaching its end of life on July 10, 2024, SnapLogic Databricks pipelines designed to use this authentication type to connect to DLP instances would cease to succeed. We recommend that you reconfigure the corresponding Snap accounts to use the Personal access tokens (PAT) authentication type.

Supported JDBC JAR Version

You can configure your Databricks Account to automatically use the bundled JDBC JAR file - databricks-jdbc-2.6.40.jar for connecting to your target DLP instance and performing the load and transform operations. 

We recommend that you use the default JAR file version (databricks-jdbc-2.6.40) in your pipelines. However, you may choose to use a custom JAR file version.We recommend that you let the Snaps use the listed JAR file versions. However, you may choose a different JAR file version.

Snap-Account Compatibility

Snaps in the Databricks Snap Pack work with the different accounts and protocols in the following table:

Snap Pack History


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