How Knack Flows Work

Connect Google BigQuery with Knack using Flows to automate data pipelines, manage large-scale datasets, and power analytics-driven applications. This integration allows you to send structured data from Knack into Google BigQuery for warehousing, analysis, and reporting, while also using BigQuery data to inform workflows and dashboards inside Knack. Build ETL-style pipelines, update tables programmatically, and manage analytical datasets without writing complex SQL or custom code. Knack acts as the orchestration and application layer, while BigQuery provides scalable, high-performance analytics.

Step 1: Select a Trigger

A trigger is an event that starts your Flow. In a Google BigQuery and Knack integration, triggers typically originate in Knack, such as when a new record is created, a record is updated, or a form is submitted. These triggers determine when data should be inserted into, patched in, or used to update tables in BigQuery as part of an analytics or warehousing workflow.

Step 2: Set up an Action in Knack

Once a trigger occurs, actions execute the tasks within your Flow. Google BigQuery actions can insert rows, patch existing data, or update tables, while Knack actions can prepare, validate, and transform records before they are sent. Flows can include conditional logic, batching, and multi-step data processing to support analytics-ready datasets.

Step 3: Connect and Automate

When your Flow is ready, you can activate it immediately. Your Knack app and Google BigQuery environment are now connected. Knack data can flow into BigQuery for reporting and analysis, while BigQuery-backed insights can be surfaced through Knack dashboards and portals. This creates a complete analytics pipeline from data capture to decision-making.