Natural Language BI
Users ask business questions in plain language and agents translate them to BigQuery SQL.
Integrate Google BigQuery for large-scale data analytics, querying, and pipeline orchestration.
Connect BigQuery events to AI agent workflows with pre-built triggers and actions.
Fires when data is inserted or modified in a BigQuery table.
Triggers when a scheduled query finishes.
Fires when a BigQuery job encounters an error.
Triggers when a new dataset is created.
Fires when a table export job completes.
Executes a SQL query on BigQuery and returns results.
Streams rows into a BigQuery table.
Creates a new table with a specified schema.
Exports table data to Google Cloud Storage.
Sets up a recurring query in BigQuery.
Users ask business questions in plain language and agents translate them to BigQuery SQL.
Agents run continuous queries to detect data anomalies and alert stakeholders.
Generate and distribute recurring business reports from BigQuery data.
The integration uses Google Cloud service accounts with IAM roles for fine-grained access control.
Yes. Access is controlled through BigQuery IAM permissions at the dataset and table level.
Yes. The connector tracks bytes scanned and estimated costs per query for budget management.
Create AI agents that connect to BigQuery with natural language — no code required.
Learn moreBuild multi-step workflows that automate actions across BigQuery and other systems.
Learn moreEnforce permissions, audit trails, and compliance on every agent action in BigQuery.
Learn moreSchedule a personalized demo to see how assistents’s AI agents integrate with BigQuery for your organization.