Productboard connector

Beta

This feature is in Beta. To use it, a workspace admin must turn on Lakeflow Connect for Productboard from the Previews page. See Manage Databricks previews.

The managed Productboard connector in Lakeflow Connect ingests product hierarchy, roadmap, objectives, customer feedback notes, and workspace member data from Productboard into 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.

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

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 Databricks user persona, supported interfaces, ingestion frequency, and common patterns.

1. Configure Productboard for ingestion (Admins): Set up Productboard to authenticate with Databricks.
2. Create a Unity Catalog connection (Admins): Create a connection in Catalog Explorer to store credentials for Databricks to authenticate with Productboard.
3. Create an ingestion pipeline (Admins or non-admins): Select any supported interface and create a pipeline from an existing connection.