Celigo connector

Important

This feature is in Beta. Workspace admins can control access to this feature from the Previews page. See Manage Azure Databricks previews.

To use the Celigo connector, a workspace admin must enable the Lakeflow Connect - Celigo preview on the Previews page.

The managed Celigo connector in Lakeflow Connect ingests audit log events, such as resource create, update, and delete operations, from Celigo 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 The audit_logs table records immutable events (append-only).
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
Basic authentication (API key)	Supported Celigo integrator.io full-access API token.

Ingest from Celigo in three steps

Note

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

1. Configure Celigo for ingestion (Admins) — Set up Celigo 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 Celigo.
3. Create an ingestion pipeline (Admins or non-admins) — Select any supported interface and create a pipeline from an existing connection.