The best features that CloudQuery offers and helped me significantly include SQL-based querying because it uses standard SQL instead of requiring the learning of proprietary query languages. It helps me integrate with existing reporting and analytics tools and build custom dashboards easily. Another key feature is security and compliance monitoring, which continually detects misconfigurations, creates custom compliance checks, and monitors security baselines. Additionally, FinOps and cost optimization is another key feature as it correlates resource configuration with cost data, identifies unused resources, and improves tagging and cost allocation. Furthermore, it includes a history change tracking feature that allows me to track infrastructure changes over time, identify configuration drift, and simplify root cause analysis. CloudQuery has an additional feature that is Policy-as-Code, which defines governance policy using SQL, automates compliance checks, and enforces organizational standards. Another feature is multi-cloud asset inventory, which provides a unified view across AWS, Azure, GCP, and Kubernetes. It also allows visibility into resources across multiple accounts and regions and has centralized infrastructure inventory. Regarding CloudQuery's AI capabilities, I think its governance and security are very strong and secure.
