Note
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Important
This feature is in Beta. Workspace admins can control access to this feature from the Previews page by opting into the Notion connector preview. See Manage Azure Databricks previews.
The managed Notion connector in Lakeflow Connect ingests pages, data sources, databases, blocks, comments, and users from Notion into Azure Databricks.
Feature availability
| Feature | Availability |
|---|---|
| UI-based pipeline authoring |  Supported |
| API-based pipeline authoring | Supported |
| Declarative Automation Bundles | Supported |
| Incremental ingestion | Supported |
| Unity Catalog governance | Supported |
| Orchestration using Databricks Workflows | Supported |
| API-based column selection and deselection | Supported |
| API-based row filtering |  Not supported |
| SCD Type 2 | Supported |
| Automated schema evolution: New and deleted columns | Supported |
| Automated schema evolution: Data type changes | Not supported |
| Automated schema evolution: Column renames | Not supported Requires a full refresh. |
Authentication methods
| Authentication method | Availability |
|---|---|
| OAuth U2M | Supported |
| OAuth M2M | Not supported |
| Basic authentication (username/password) | Not supported |
Ingest from Notion in 3 steps
Before starting, review the Azure Databricks user persona, supported interfaces, ingestion frequency, and common patterns.
- Configure Notion for ingestion (Administrators) — Register a Notion public integration so Azure Databricks can authenticate.
- Create a Unity Catalog connection (Administrators) — Create a connection in Catalog Explorer to store credentials for Azure Databricks to authenticate with Notion, and select the pages and data sources to share.
- Create an ingestion pipeline (Administrators or non-administrators) — Select any supported interface and create a pipeline from an existing connection.