Data & Analytics
Connect Google BigQuery to Sortment
Connect Google BigQuery to Sortment so its AI agents can read events and metrics to build audiences, spot opportunities and measure lift.
- Actions
- 63
- Triggers
- —
- Authentication
- OAuth2, Google Service Account
- Category
- Data & Analytics
What Sortment's agents can do in Google BigQuery
63 actions. The ones lifecycle programs use most are shown first.
- Create Capacity Commitment
- Create BigQuery Connection
- Create Analytics Hub Data Exchange
- Create Analytics Hub Listing
- Create BigQuery Dataset
- Create Analytics Hub Listing
- Create BigQuery Data Policy (v2beta1)
- Create Analytics Hub Query Template
- Create BigQuery Reservation
- Create BigQuery Reservation Assignment
- Create BigQuery Routine
- Create BigQuery Table
- Search All BigQuery Reservation Assignments
- Update BigQuery Connection
- Update BigQuery Dataset
- Update BigQuery Routine
- Update BigQuery Table
- Get BigQuery Service Account
- List Analytics Hub Listings
- List BigQuery Connections
- List BigQuery Capacity Commitments
- List Data Exchange Listings
- List BigQuery Datasets
- List BigQuery Jobs
- List BigQuery Data Transfer Locations
- List Connections in Location
- List BigQuery Location Data Policies
- List BigQuery Models
- List Organization Data Exchanges
- List BigQuery Projects
- List Analytics Hub Query Templates
- List BigQuery Reservation Assignments
- List BigQuery Reservation Groups
- List BigQuery Reservations
- List BigQuery Routines
- List BigQuery Row Access Policies
Show all 63 actionsShow fewer actions
- List BigQuery Table Data
- List BigQuery Tables
- Get BigQuery ML Model
- Get BigQuery Connection IAM Policy
- Get BigQuery Dataset Metadata
- Get BigQuery Job
- Get BigQuery Query Results
- Get BigQuery Routine
- Get BigQuery Routine IAM Policy
- Get BigQuery Table IAM Policy
- Get BigQuery Table Schema
- Query
- Set BigQuery Routine IAM Policy
- Insert Data into BigQuery Table
- Insert BigQuery Job
- Insert BigQuery Job with Upload
- Patch BigQuery Dataset
- Patch BigQuery ML Model
- Patch BigQuery Table
- Test BigQuery Routine IAM Permissions
- Undelete BigQuery Dataset
- Cancel BigQuery Job
- Delete BigQuery Dataset
- Delete BigQuery Job Metadata
- Delete BigQuery ML Model
- Delete BigQuery Routine
- Delete BigQuery Table
How it works
- 1
Connect
Connect it in Settings › Connectors. Most tools take one click to authorise.
- 2
Put agents to work
Strategy, Content and Analyst AI can read from it and act in it as part of your lifecycle programs.
- 3
Approve and measure
You review every change before it goes live, and Sortment measures the lift.
See Sortment work with Google BigQuery.
Book a 30-minute call. We'll walk you through Sortment with your goals, your data and your stack in mind.
No migration · Works alongside your existing stack