Google Workspace connector

Important

This feature is in Beta. Workspace admins can control access to this feature from the Previews page. See Manage Azure Databricks previews.

The managed Google Workspace connector in Lakeflow Connect ingests Google Workspace activity events from 33 supported applications using the Google Workspace Admin SDK Reports API into Azure Databricks.

Feature availability

Feature	Availability
UI-based pipeline authoring	Supported
API-based pipeline authoring	Supported
Declarative Automation Bundles	Supported
Incremental ingestion	Supported
Unity Catalog governance	Supported
Orchestration using Databricks Workflows	Supported
API-based column selection and deselection	Supported
API-based row filtering	Not supported
SCD Type 2	Not supported Activity records have VARIANT columns and are append-only.
Automated schema evolution: New and deleted columns	Supported
Automated schema evolution: Data type changes	Not supported
Automated schema evolution: Column renames	Not supported Requires a full refresh.

Authentication methods

Authentication method	Availability
OAuth U2M	Supported User authorization with 3-legged OAuth consent. Requires OAuth client credentials and admin approval of the admin.reports.audit.readonly scope.
OAuth M2M	Not supported
Basic authentication (username/password)	Not supported
Google service account (domain-wide delegation)	Not supported

Ingest from Google Workspace in 3 steps

Note

Before starting, review the Azure Databricks user persona, supported interfaces, ingestion frequency, and common patterns.

Start ingesting from Google Workspace

1. Configure Google Workspace for ingestion (Admins). Set up Google Workspace to authenticate with Azure Databricks.
2. Create a Unity Catalog connection (Admins). Create a connection in Catalog Explorer so non-admins can create pipelines.
3. Create an ingestion pipeline (Admins or non-admins). Select any supported interface and create a pipeline from an existing connection.