Databricks Snap Pack

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Overview

Databricks is a data analytics platform optimized for the Microsoft Azure cloud services platform. It can also be run on Amazon AWS cloud and Google Cloud Platform. Databricks offers three environments for developing data-intensive applications: Databricks SQL, Databricks Data Science & Engineering, and Databricks Machine Learning. Learn more: Databricks Documentation.

This Snap Pack focuses on the Databricks Data Science & Engineering environment which is also referred to as Databricks Lakehouse Platform (DLP) or Databricks. The Databricks Snap Pack contains the following Snaps:

Prerequisites

Create and configure an application corresponding to your Databricks instance in the AWS, Azure Portal, or Google Cloud Platform before using these Snaps. All the Snaps' accounts require information pertaining to this application for authentication purposes.

Supported Versions

This Snap Pack is tested against JDBC JAR version: databricks-jdbc-2.6.25-1.jar.

Using Alternate JDBC JAR File Versions

We recommend that you let the Snaps use this JAR file version. However, you may choose to use a different JAR file version.

Snap Pack History