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databricks Platform · Updated Jul 10, 2026

Google Drive Connector in Lakeflow Connect

Ingest files from Google Drive for enhanced data processing.

What it does

The Google Drive connector in Lakeflow Connect enables users to ingest files from Google Drive into Databricks, supporting various formats such as CSV, JSON, XML, and Excel. It allows for the ingestion of unstructured files as binary data, parsing structured formats into Delta tables, and capturing file metadata without loading the file contents. This feature is managed and can be controlled by workspace admins through the Previews page.

Why it matters

This update enhances data ingestion capabilities, allowing organizations to streamline their data workflows by easily integrating Google Drive files into Databricks for analysis and transformation. It benefits data teams by reducing the time and complexity involved in data preparation, ultimately leading to improved productivity and faster insights.

Key capabilities
Managed Ingestion
Ingest files from Google Drive with a managed connector for easier data handling.
Support for Multiple Formats
Parse various structured formats like CSV and JSON into Delta tables.
File Metadata Capture
Capture file metadata without loading the actual file contents.
User Role Flexibility
Administrators can set up connections for non-admin users to create ingestion pipelines.
Prerequisites
Workspace admins must enable the feature from the Previews page.
OAuth 2.0 must be configured for authentication.
Recommended use cases
Ingesting marketing data stored in Google Drive for analysis.Transforming CSV files from Google Drive into Delta tables for reporting.Automating data pipelines that require regular updates from Google Drive.
Limitations · remember
!SCD type 2 is not supported.
!API-based column selection and deselection is not supported.
!API-based row filtering is not supported.
Architecture
Lakeflow Connect → Google Drive Connector → Delta Tables → Databricks Workflows
Get started
1
Configure OAuth 2.0
Set up OAuth 2.0 for authentication to Google Drive.
2
Create Unity Catalog Connection
Establish a Unity Catalog connection for managed ingestion.
3
Use Catalog Explorer
Create a connection to Google Drive for non-administrators.
4
Create Ingestion Pipeline
Non-administrators can use the interface to create a pipeline from the connection.
Key takeaway
The Google Drive connector in Lakeflow Connect is now generally available, simplifying data ingestion from Google Drive into Databricks.
2026-07-10-google-drive-connector-in-lakeflow-connect-will-soon-be-generally-available Generated by the Databricks Updates Agent · browse all updates