Collibra DQ User Guide

Connectivity to Databricks

We've moved! To improve customer experience, the Collibra Data Quality User Guide has moved to the Collibra Documentation Center as part of the Collibra Data Quality 2022.11 release. To ensure a seamless transition, will remain accessible, but the DQ User Guide is now maintained exclusively in the Documentation Center.

There are three ways to utilize Databricks infrastructure with Collibra Data Quality.

  • JDBC (Supported)
  • Notebook/SDK (Supported)
  • Spark Submit (Not Supported)

JDBC (Supported)

Certification, support and optional packaging is available from 2022.05






user: token password: <your-user-generated-token>


Notebook (Supported)

Databricks no longer supports Run time 6.5 and 10.3. Therefore, CDQ Profile 2.45 is not runnable on Databricks.
The following table shows the latest supported versions of CDQ Profiles and their matching Databricks Run times. (last updated: September 2022)

Spark Submit (Not Supported)

  • Spark Master URL
  • Databricks Jobs API
While these are not officially supported, there is reference architecture and implementation pattern how to do a Databricks Job submission.