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This section provides guides and references to use the Atlas connector. Configure and schedule Atlas metadata workflow from the Collate UI:

Requirements

Tip: Every table ingested will have a tag name AtlasMetadata.atlas_table. You can find all tags under Governance > Classification.

Create Database and Messaging Services

You need to create at least a Database Service before ingesting the metadata from Atlas. Make sure to note down the name, since Collate uses it to create the Atlas service. For example, to create a Hive Service you can follow these steps: Select Service Add New Service Name Configure Service Connection

Metadata Ingestion

To ingest metadata from Atlas, you need to create a service connection. The service connects Atlas with Collate. Once you create a service, Collate automatically starts ingesting metadata.

Step 1: Add New Service

  1. In the left navigation, click Connections.
  2. On the Connections page, click Add New Service.
Add New Service

Step 2: Select a Service and Connector

From the service type dropdown, select Metadata Services, then click the Atlas connector tile. Select Service

Step 3: Add Service Name and Description

  • Enter a unique, descriptive Service Name. Collate identifies services by their service name. Enter a name that distinguishes this deployment from other Atlas services you are ingesting metadata from.
  • Optional: Enter a Description for the service.
Add New Service Name
Note: The service name cannot be changed after it is set.

Step 4: Configure Connection Options

Specify where ingestion runs, provide your source credentials, and verify the connection.

Select Ingestion Runner

Select an Ingestion Runner: the runner where the ingestion pipeline will execute. Add Name and Select Ingestion Runner

Enter Connection Details

Enter the connection details for Atlas. The right-hand panel in the UI displays inline help for each field. Configure Service Connection
  • Host and Port: Host and port of the Atlas service.
  • Username: Username to connect to Atlas. This user should have privileges to read all the metadata in Atlas.
  • Password: password to connect to Atlas.
  • databaseServiceName: source database of the data source. This is the service we created before: e.g., local_hive.
  • messagingServiceName: messaging service source of the data source.
  • Entity Type: Name of the entity type in Atlas.

Test Connection

Once the credentials have been added, click on Test Connection and Save the changes. Test Connection

Step 5: Configure Ingestion Options

In the What to Ingest step, configure the metadata ingestion pipeline settings, then click Create & Deploy. Collate creates the service connection and automatically triggers the first metadata ingestion run. In AI 2.0, ingestion is managed by the Auto Pilot app — you do not need to schedule a separate pipeline. After deployment, you can monitor the ingestion status by navigating to Connections, selecting your service, and viewing the ingestion pipeline.
Tip: If AutoPilot is enabled, usage tracking, data lineage, and other downstream workflows start automatically after the first metadata ingestion completes.

Configure Metadata Agent and Schedule Ingestion

The Metadata Agent extracts databases, schemas, tables, stored procedures, and other structural metadata from your connected data source and keeps your Collate catalog in sync. It powers discovery, lineage, and governance across your data assets. When you click Create & Deploy, Collate automatically deploys a Metadata Agent for this service and triggers the first ingestion run. View its status and run history from the Agents tab on the service detail page. To configure the additional Metadata Agent and schedule ingestion, follow these steps:
  1. In the left navigation, click Connections and select your service.
  2. Click the Agents tab.
  3. Click Add Agent and select Metadata from the dropdown. Add Metadata Agent For some services, the dropdown is not available and clicking Add Agent takes you directly to the agent configuration page.
  4. On the Configure Ingestion page, do the following and click Next.
    • Name this Ingestion: Enter a unique recognizable name for this ingestion pipeline. Name this Ingestion
    • Agent Setup: Configure the core parameters for this agent. The following fields are available: Agent Setup
    • Filter Patterns: Apply include or exclude rules to scope which databases, schemas, tables, and stored procedures this agent ingests. These follow the same filter options described in Step 5. Filter Patterns
    • Scope & Behaviour: Control what metadata to include and how to handle deletions. Toggle each option on or off based on your needs: Scope & Behaviour
  5. On the Schedule Interval page, set when the agent runs:
    • Schedule: Choose a preset interval (Hourly, Daily, Weekly, Monthly) or enter a custom cron expression.
    • On-Demand: No automatic schedule; trigger the agent manually when needed.
    Schedule Interval
  6. Click Add to deploy the agent.

Troubleshooting

Atlas Troubleshooting

Learn more about how to troubleshoot common Atlas connector issues and resolve configuration or ingestion errors.