Connectors

Databases & Data Warehouses

Google BigQuery

Cloud data warehouse: run SQL queries, load data, and manage datasets
Google BigQuery documentationAPI checked August 16, 2026
Signs in with
Connection details
Runs on
Cloud or On-Prem Worker
Operations
4
Ready-made triggers
0

Connect Google BigQuery

  1. In Neblex open Connect › Connections and click New Connection.
  2. Search for Google BigQuery and give the connection a clear name.
  3. Fill in the fields. Secret values are encrypted and never shown again.
  4. Click Test, then Create Connection.
If the system is only reachable inside your network, choose an On-Prem Worker under Test from and run the flow on that Worker. See On-Prem Workers.
FieldWhat to enter
Service account key (JSON)RequiredSecretPaste the full GCP service-account key JSON (project_id, client_email, private_key).

Use it in a flow

  1. Open a flow, open the node library and search for Google BigQuery.
  2. Drag it onto the canvas and choose an Operation and your connection.
  3. Map the operation's fields from earlier steps, or click Map with Matt.
  4. Use Test this step to see what it returns, then save.

To start a flow from Google BigQuery without a ready-made trigger: a Poll for changes trigger can check one of its list operations on a schedule and pass on only what is new; if Google BigQuery can send webhooks, a Webhook trigger receives them at its own URL.

Operations

4 operations in 3 groups. Each one is a step you can add to a flow.

Connection1
Test BigQuerypingRun a minimal GoogleSQL query through jobs.query.
Metadata2
Get server timeserverTimeReturn BigQuery's current timestamp.
List datasetslistDatasetsList datasets visible to the service account in the query project.
Query1
Execute GoogleSQLqueryExecute arbitrary GoogleSQL with native @name parameters bound from each input record.