CloudQuery

Platform teams lose hours writing throwaway scripts against poorly documented provider APIs. CloudQuery removes that work by syncing cloud infrastructure metadata into a data warehouse you already run, where every asset becomes an ordinary table you can query with SQL.

Coverage spans AWS, Azure and GCP alongside more than seventy cloud and SaaS sources, among them Wiz, Finout and GitHub. Syncs are powered by Apache Arrow, and each plugin handles normalization and rate limits so the data lands in a consistent shape.

The design is deliberately composable rather than a closed platform.

• Plugin system: sources and destinations are code-first, multi-language and open to extension.
• Normalized tables: provider data arrives ready to join and filter without further cleanup.
• Your infrastructure: cloud data never touches CloudQuery servers, which suits regulated environments.
• Downstream integration: results feed BI tools, Slack alerts, Jira ticketing and anything else that reads a warehouse.
• Established use cases: asset inventory, security posture management and FinOps cost analysis.

Installation is a Homebrew tap, with a quickstart covering Linux and Windows. Worth knowing before you commit: the framework, SDK, command line tool and some integrations are open source, while other parts have moved to closed source, and the maintainers publish a list of the files affected.