BQMetrics
Drag and Drop for BigQuery - No SQL needed
BQMetrics β Visual data transformation for BigQuery without SQL
Summary: BQMetrics enables teams to convert complex BigQuery data into clean, analysis-ready tables using a drag-and-drop interface without writing SQL. It automates data transformations within the user's BigQuery project, supporting flattened GA4 and ecommerce data for seamless integration with BI tools like Looker Studio.
What it does
BQMetrics lets users visually define grouping, summing, and data transformations on BigQuery datasets, automating scheduled updates without requiring SQL knowledge. All processing occurs inside the userβs own BigQuery environment, ensuring transparency and control.
Who it's for
It is designed for marketers, analysts, and teams who work with GA4 and ecommerce data in BigQuery but lack SQL expertise.
Why it matters
BQMetrics removes reliance on engineers and complex SQL, making BigQuery data accessible and usable for non-technical users while maintaining pipeline reliability.