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databricks Platform · Updated Aug 13, 2026

Gmail connector in Lakeflow Connect (Beta)

You can now ingest data from a Gmail mailbox into Databricks using the managed Gmail connector in Lakeflow Connect.

What it does

You can now ingest data from a Gmail mailbox into Databricks using the managed Gmail connector in Lakeflow Connect. The connector ingests messages, labels, drafts, filters, and profile data using a Google service account, and syncs the messages and message labels tables incrementally through the Gmail History API. This feature is in Beta.

Why it matters

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

Architecture
Databricks Platform → Platform
In short

You can now ingest data from a Gmail mailbox into Databricks using the managed Gmail connector in Lakeflow Connect. The connector ingests messages, labels, drafts, filters, and profile data using a Google service account, and syncs the messages and message…

Read the full documentation ↗
Key takeaway
You can now ingest data from a Gmail mailbox into Databricks using the managed Gmail connector in Lakeflow Connect.
2026-08-13-gmail-connector-in-lakeflow-connect-beta Generated by the Databricks Updates Agent · browse all updates