BigQuery is where many teams keep event data, marketing spend and product usage. Chamfer lets the people who act on that data do it in an app instead of a saved query. Describe the tool and the Bench builds it against your datasets: a churn-risk list for customer success, a spend tracker for marketing, a gauge log for a quality team.

Before each query runs, Chamfer checks its estimated scan size against the limit you set for that app. Partition filters are added where your tables support them, and results can be cached for minutes or hours. Scheduled Jobs can read BigQuery overnight and write a summary to Stockroom, Chamfer’s managed Postgres, so daytime screens stay fast. Access runs through a service account you control, and every query appears in the Logbook with its scan size and the person who ran it.