Integrate with Databricks Data in SnapLogic



Use CData Connect Cloud to connect to and integrate with live Databricks data in SnapLogic.

SnapLogic's iPaaS platform helps organizations automate application, data and cloud integrations. When paired with CData Connect Cloud, SnapLogic gets access to live Databricks data. This article demonstrates how to connect to Databricks using Connect Cloud and integrate with Databricks data in SnapLogic.

CData Connect Cloud provides a pure SQL Server interface for Databricks, allowing you to query data from Databricks without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc.) directly to Databricks, leveraging server-side processing to return the requested Databricks data quickly.

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


Configure Databricks Connectivity for SnapLogic

Connectivity to Databricks from SnapLogic is made possible through CData Connect Cloud. To work with Databricks data from SnapLogic, we start by creating and configuring a Databricks connection.

  1. Log into Connect Cloud, click Connections and click Add Connection
  2. Select "Databricks" from the Add Connection panel
  3. Enter the necessary authentication properties to connect to Databricks.

    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).
  4. Click Create & Test
  5. Navigate to the Permissions tab in the Add Databricks Connection page and update the User-based permissions.

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

  1. Click on your username at the top right of the Connect Cloud app and click User Profile.
  2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
  3. Give your PAT a name and click Create.
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

Connect to Databricks from SnapLogic using Connect Cloud

To establish a connection from SnapLogic to CData Connect Cloud, you will need to download the JDBC Driver.

  1. Open the Client Tools page of CData Connect Cloud.
  2. In the Dev Tools section, click JDBC.
  3. Download and run the setup file.
  4. When the installation is complete, locate the JDBC Connect JAR file in the JDBC driver's installation directory, for example, C:\Program Files\CData\JDBC Driver for CData Connect\lib.
  5. Copy the JDBC Connect JAR file (cdata.jdbc.connect.jar).

After copying the JDBC CData Connect JAR file, you will need to paste it into the SnapLogic installation location and configure the connection to Connect Cloud.

  1. Log into SnapLogic.
  2. Click the Managers tab.
  3. Select a folder from the Project Spaces to add the JDBC JAR file to.
  4. Click the Files tab.
  5. Click the button in the top right to upload the CData Connect Cloud JDBC JAR file. It appears as a file once uploaded.
  6. Click the Designer tab.
  7. Click JDBC to expand the options for "snaps."
  8. Click and drag a Generic JDBC - Select "snap" onto the designer.
  9. Click Add Account > Continue.
  10. Enter the JDBC connection properties.
    • JDBC driver: add the CData Connect Cloud JAR file
    • JDBC driver Class: enter cdata.jdbc.connect.ConnectDriver
    • JDBC Url: enter a JDBC connection string for the JDBC driver. For example: jdbc:connect:AuthScheme=Basic;User={username};Password={PAT};
    • Username: enter your CData Connect Cloud username. This is displayed in the top-right corner of the CData Connect Cloud interface. For example, [email protected].
    • Password: enter the PAT you generated on the Settings page.
  11. Click Validate. If the connection succeeds, the "snap" is ready to use.
  12. Click Apply.

You can now create reports with the connected data.

Get CData Connect Cloud

To get live data access to 100+ SaaS, Big Data, and NoSQL sources directly from SnapLogic, try CData Connect Cloud today!

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