Requirements
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:


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

Step 2: Select a Service and Connector
From the service type dropdown, select Metadata Services, then click the Atlas connector tile.
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.

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.
Enter Connection Details
Enter the connection details for Atlas. The right-hand panel in the UI displays inline help for each field.
- 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.
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.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:- In the left navigation, click Connections and select your service.
- Click the Agents tab.
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Click Add Agent and select Metadata from the dropdown.
For some services, the dropdown is not available and clicking Add Agent takes you directly to the agent configuration page.
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On the Configure Ingestion page, do the following and click Next.
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Name this Ingestion: Enter a unique recognizable name for this ingestion pipeline.

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Agent Setup: Configure the core parameters for this agent. The following fields are available:

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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.

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Scope & Behaviour: Control what metadata to include and how to handle deletions. Toggle each option on or off based on your needs:

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Name this Ingestion: Enter a unique recognizable name for this ingestion pipeline.
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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.

- 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.