Here is a 200-250 word comparison of the two open-source projects for senior engineers: A comparison of cloudquery/cloudquery and metabase/metabase reveals distinct differences in momentum, community size, and use cases. Cloudquery, with 6,351 stars and a recent 21-star gain over 30 days, indicates a dedicated but relatively smaller community focused on cloud config and security data pipelines. Its use cases are specialized, catering to building cloud asset inventory, CSPM, FinOps, and vulnerability management solutions, with support for over 70 cloud and SaaS sources. In contrast, metabase/metabase boasts a significantly larger community, with 46,751 stars and a substantial 464-star increase over the last 30 days, reflecting high momentum and broad appeal. Its use cases are more generalized, positioned as an easy-to-use Business Intelligence and Embedded Analytics tool for universal data work, as evidenced by its wide adoption suggested by the star metrics. While cloudquery is tailored for cloud security and config data professionals, metabase appears to serve a broader audience across various sectors needing data insights. The community engagement and growth rates suggest metabase has a more extensive and actively growing user base compared to cloudquery's more niche following.