Note
Access to this page requires authorization. You can try signing in or changing directories.
Access to this page requires authorization. You can try changing directories.
Important
This feature is in Beta. To use it, a workspace admin must turn on Lakeflow Connect for Productboard from the Previews page. See Manage Azure Databricks previews.
The managed Productboard connector in Lakeflow Connect ingests product hierarchy, roadmap, objectives, customer feedback notes, and workspace member data from Productboard into Azure Databricks.
Feature availability
| Feature | Availability |
|---|---|
| UI-based pipeline authoring |  Supported |
| API-based pipeline authoring | Supported |
| Declarative Automation Bundles | Supported |
| Incremental ingestion | Supported Only the notes table syncs incrementally. |
| Unity Catalog governance | Supported |
| Orchestration using Databricks Lakeflow Jobs | Supported |
| API-based column selection and deselection | Supported |
| API-based row filtering |  Not supported |
| SCD Type 2 | Supported Tables with VARIANT columns ( features, products, components, notes, companies, users, release_groups, releases, objectives, key_results, initiatives, field_definitions, note_field_definitions) do not support SCD type 2. |
| 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 | Not supported |
| OAuth M2M (Server-to-Server OAuth with a JSON Web Token (JWT)) | Supported |
| Basic authentication (username/password) | Not supported |
| Basic authentication (API key) | Not supported |
Ingest from Productboard in 3 steps
Note
Before starting, review the Azure Databricks user persona, supported interfaces, ingestion frequency, and common patterns.
- Configure Productboard for ingestion (Admins): Set up Productboard to authenticate with Azure Databricks.
- Create a Unity Catalog connection (Admins): Create a connection in Catalog Explorer to store credentials for Azure Databricks to authenticate with Productboard.
- Create an ingestion pipeline (Admins or non-admins): Select any supported interface and create a pipeline from an existing connection.