Anaplan connector

Important

This feature is in Beta. Workspace admins can control access to this feature from the Previews page by opting into the Anaplan connector preview. See Manage Azure Databricks previews.

The managed Anaplan connector in Lakeflow Connect ingests audit trail events and user account records from Anaplan into Azure Databricks.

Feature availability

Feature	Availability
UI-based pipeline authoring	Supported
API-based pipeline authoring	Supported
Declarative Automation Bundles	Supported
Incremental ingestion	Supported Supported for the audit_events table. The connector refreshes the users table with a full snapshot on each pipeline update.
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	Not 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	Not supported
OAuth M2M	Not supported
Basic authentication (username/password)	Not supported
Certificate authentication (CA certificate)	Supported Anaplan CA certificate (PEM) and paired private key.

Ingest from Anaplan in three steps

Note

Before starting, review the Azure Databricks user persona, supported interfaces, ingestion frequency, and common patterns.

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