Integrations · business intelligence

ElectroNeek + Google BigQuery
Query, analyze, and stream data into Google BigQuery — the fully managed, serverless data warehouse Ships with 10 ready actions and 4 event triggers — usable in agent workflows without code.
What agents can do with Google BigQuery
Actions · 10
Run a Query
Execute a SQL query on BigQuery and return the results as flat rows
Create Row
Creates a single new row in a BigQuery table. Column fields are loaded from the table schema.
Create Rows
Creates new rows of data in a BigQuery table (accepts an array of row objects). Rows are available to query within seconds.
Delete Rows
Deletes one or more rows from a BigQuery table using a SQL WHERE condition.
Update Row(s)
Updates one or more existing rows in a BigQuery table using SQL SET and WHERE expressions.
Find One Row
Find a single row by specifying a WHERE clause and an optional ORDER BY. Returns the first matching row, or empty if none found.
Find or Create Record
Searches for a row matching a WHERE clause. If found, returns it. If not found, inserts the provided row data and returns that.
Get Rows for Job Completed
Retrieves the result rows from a completed BigQuery query job by Job ID. Use this after a "Query Job Completed" trigger to fetch the full re
Import Data
Imports a batch of rows into a BigQuery table. Accepts a JSON array or newline-delimited JSON (NDJSON). Large datasets are automatically spl
Custom API Call
Make a custom API call to a specific endpoint
Triggers · 4
New Row
Triggers when a new row is added to a BigQuery table. Polls every 5 minutes by comparing the latest value in a sort column against the previ
Updated Row
Triggers when an existing row is updated in a BigQuery table. Requires an `updated_at` TIMESTAMP column that is set whenever a row changes.
Query Job Completed (With Row Data)
Triggers when a BigQuery query job finishes successfully. Each flow run receives the job metadata and the result rows from that query.
New Job Completed
Triggers when any BigQuery job (query, load, copy, or extract) finishes. Returns the job metadata including status, type, and timing.
How Google BigQuery fits an agent workflow
01
Trigger or read
An agent starts from a Google BigQuery event or reads Google BigQuery data as part of a broader workflow.
02
Decide with AI
The agent classifies, matches, or drafts — with your guardrails and human approvals where it matters.
03
Act across systems
Results post back to Google BigQuery and to the rest of your stack — ERP, spreadsheets, email — in one run.