One of the biggest challenges in modern data engineering is bridging the gap between business‑user data sources and enterprise‑grade analytics platforms. Google Drive has long been a favourite for teams collaborating on documents, spreadsheets, and ad‑hoc datasets but getting that data into a governed analytics environment has often required workarounds, manual exports, or custom scripts. That changes today!
Databricks has released the Google Drive Connector in Beta, and after testing it end‑to‑end, I’m genuinely impressed by how smooth and intuitive the experience is. This is one of those features that quietly solves a real-world problem for many organisations.
With a few clicks, you can authenticate securely, browse your Drive, and ingest files directly into Databricks using familiar Spark APIs.
After hands‑on testing, a few things stood out:
💹Authentication is clean and secure
The OAuth flow is straightforward, and Databricks handles token management behind the scenes.
💹Native Spark integration
Once connected, reading files feels natural just like working with any other cloud storage source.
💹Supports multiple file types
CSV, Excel, JSON, and more all handled seamlessly.
💹Perfect for ELT pipelines
You can now automate ingestion from Google Drive into Delta Lake, enabling downstream transformations in Unity Catalog or Lakehouse workflows.
💹Ideal for business‑user collaboration
Teams can continue working in Google Drive while data engineers build reliable ingestion pipelines without friction.
If you're excited about this new feature, stay tuned as I release the end-to-end video guiding you through this solution
Databricks has released the Google Drive Connector in Beta, and after testing it end‑to‑end, I’m genuinely impressed by how smooth and intuitive the experience is. This is one of those features that quietly solves a real-world problem for many organisations.
With a few clicks, you can authenticate securely, browse your Drive, and ingest files directly into Databricks using familiar Spark APIs.
After hands‑on testing, a few things stood out:
💹Authentication is clean and secure
The OAuth flow is straightforward, and Databricks handles token management behind the scenes.
💹Native Spark integration
Once connected, reading files feels natural just like working with any other cloud storage source.
💹Supports multiple file types
CSV, Excel, JSON, and more all handled seamlessly.
💹Perfect for ELT pipelines
You can now automate ingestion from Google Drive into Delta Lake, enabling downstream transformations in Unity Catalog or Lakehouse workflows.
💹Ideal for business‑user collaboration
Teams can continue working in Google Drive while data engineers build reliable ingestion pipelines without friction.
If you're excited about this new feature, stay tuned as I release the end-to-end video guiding you through this solution
