Connectors

Connect Snowflake or BigQuery so Sundial can discover your warehouse data and use it for modelling and analysis.

Supported warehouse connectors

Connector	Data scope	Authentication
Snowflake	Databases and schemas	RSA key pair
Google BigQuery	Projects and datasets	Service account key or workload identity

Sundial reads directly from your warehouse, so your source data stays in your environment. Grant each connector access only to the data Sundial should use.

Other connector types

The Connectors & MCP page also includes dbt connectors for transformation metadata and Astro for orchestration metadata. To connect Slack, Notion, Linear, or GitHub as context sources, see Context connectors.

Add a warehouse connector

1. Open Connectors

Open Context Engine → Connectors & MCP. The Data Connectors section lists the workspace's existing connections and their sync status.

Click Add Connector. If the button is not available, ask a workspace admin to add the connection.

2. Choose the warehouse

Select Snowflake or BigQuery, then enter a connection name and the credentials described in the connector guide.

Click Test & Continue. Sundial verifies the connection before asking what to sync.

3. Choose the data scope

Select the warehouse objects Sundial should discover:

Snowflake: databases, then schemas.
BigQuery: projects, then datasets.

Only grant the connection access to data that members of the workspace are allowed to use. Workspace admins can further narrow access for user groups; see User groups and data access.

4. Review and sync

Review the connection and selected scope, then start the initial sync. Sundial reads the warehouse metadata and makes the selected tables available to the Context Engine.

Open Context Engine → Syncs to monitor runs or change the connector's sync schedule.