Databricks Lakeflow Connect Adds Managed Gmail Data Ingestion
Databricks Lakeflow Connect now offers a managed Gmail connector, enabling users to ingest various data types from Gmail mailboxes directly into Databricks. This new capability supports messages, labels, drafts, filters, and profile data, utilizing a Google service account for authentication. The connector facilitates incremental syncing of messages and message_labels tables via the Gmail History API, and is currently available in Beta.
Features (1) ›
- Ingest Gmail Data with Lakeflow Connect
A new managed Gmail connector in Lakeflow Connect allows for the ingestion of messages, labels, drafts, filters, and profile data from a Gmail mailbox into Databricks. It uses a Google service account for authentication and incrementally syncs message and message_label tables via the Gmail History API.
https://docs.databricks.com/aws/en/release-notes/product/2026/august#gmail-connector-in-lakeflow-connect-beta
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