Case Study: Metabase visualizes cloud asset inventory data with CloudQuery

Metabase connects CloudQuery to PostgreSQL in 4 steps for cloud inventory reporting

Metabase, an open-source data visualization and exploration platform, faced the challenge of yet-another-dashboard fatigue while needing to build and monitor a multi-cloud asset inventory. They turned to CloudQuery to act as an ETL (Extract-Transform-Load) data ingestion layer to centralize this cloud configuration data.

CloudQuery provided the solution by syncing data from all of Metabase's clouds into a single PostgreSQL database with a unified structure. This allowed Metabase users to leverage their existing platform to ask questions, build visualizations, and create dashboards directly from the raw cloud asset data. The results included gaining raw SQL access to their entire inventory and the ability to set up periodic reports, such as sending a daily cloud asset summary directly to Slack.

Metabase