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databricks Platform · Updated Jan 23, 2026

Google Drive connector (Beta)

The standard Google Drive connector in Lakeflow Connect allows you ingest Google Drive files into Databricks.

Beta Open docs ↗release note ↗
What it does

The standard Google Drive connector in Lakeflow Connect allows you ingest Google Drive files into Databricks. You can use read files, spark.read, COPY INTO, and Auto Loader to create Spark DataFrames, materialized views, and streaming tables, enabling you to build custom pipelines for common file ingestion use cases. Beta This feature is in Beta.

Why it matters

Reduces operational overhead and unlocks new capabilities for data teams on Databricks.

Key capabilities
Dedicated Access Mode: MANAGE CONNECTION
Dedicated Access Mode: MANAGE CONNECTION.
Standard Access Mode: USE CONNECTION
Standard Access Mode: USE CONNECTION. Databricks Runtime 17.3 or above. The Excel file format Beta feature enabled, if you want…
https://docs.google.com/spreadsheets/d/12345/edit?randomqueryparamshere
https://docs.google.com/spreadsheets/d/12345/edit?randomqueryparamshere
https://drive.google.com/drive/u/0/folders/12345
https://drive.google.com/drive/u/0/folders/12345
Recommended use cases
You can use read filesspark.readCOPY INTOAuto Loader to create Spark DataFrames
Architecture
Databricks Platform → Platform
In short

The standard Google Drive connector in Lakeflow Connect allows you ingest Google Drive files into Databricks. You can use read files, spark.read, COPY INTO, and Auto Loader to create Spark DataFrames, materialized views, and streaming tables, enabling you to…

Read the full documentation ↗
Key takeaway
The standard Google Drive connector in Lakeflow Connect allows you ingest Google Drive files into Databricks.
2026-01-23-google-drive-connector-beta Generated by the Databricks Updates Agent · browse all updates