My main use case for CloudQuery is helping with cloud infrastructure and managing all my cloud infrastructure, which helps me monitor, have a view, and identify potential strengths and weaknesses, giving a quick overview of cloud infrastructure usage. Mostly, it helps me in absorption of data and protection of my databases, ensuring that all my departments and the whole of my organization use our various data infrastructure systems correctly, allowing me to protect and become compliant as an organization with set standards and data privacy regulations while enhancing my usage and consumption of data significantly across a huge workflow. A quick specific example of how I use CloudQuery day-to-day is in the management of cloud infrastructure, enabling my IT teams to have an inventory of networking resources, virtual machines, databases, and storage. This centralized inventory helps me understand in easier terms my usage of various cloud environments and accounts, thus ensuring they are used safely and correctly. It helps me form a checks and balances system to view cloud infrastructure usage, gauge whether it is safe or vulnerable, and eliminate potential issues. Regarding how I use CloudQuery in my daily work, another aspect I can add is its role in risk management and executing secure cybersecurity strategies. When my security teams have a view, they can identify exposed resources and insecure configurations, as well as areas where access permissions were not granted correctly. This capability allows me to see which storage resources are vulnerable, enabling me to institute corrective measures and ensuring effective risk management while implementing secure cybersecurity strategies for safeguarding my data and organization.
My main use case for CloudQuery is as a tool for inventory platforms that lets me extract, transform, and query infrastructure data using SQL. A quick specific example of how I use CloudQuery in my inventory platforms is that I use it for compliance and governance reporting, and I also use it for security auditing to identify misconfigured or exposed resources. In addition to that, I also use it to connect custom dashboards and analytics with some BI tools.
Cloud Security Support at a tech vendor with 501-1,000 employees
Real User
Top 5
Jun 16, 2026
My main use case for CloudQuery is to help find assets within our cloud environment. A specific example of how I use CloudQuery to find assets is with Prisma Cloud, where we have issues detecting all of the different assets that don't seem to be picked up by Prisma Cloud. I was using CloudQuery in order to write SQLs to find specific types of assets that weren't originally being picked up by Prisma. I use CloudQuery whenever I have issues writing RQLs for Prisma Cloud. The SQLs to find assets are a little bit easier to write, enabling me to handle more complex queries.
Cloud Data Integration enables seamless data flow across platforms, ensuring accurate and timely information exchange. Businesses leverage its capabilities to streamline operations and enhance data-driven decision-making.This solution facilitates the connection, transformation, and automation of data from diverse sources in real time. Organizations use Cloud Data Integration to consolidate data for analytics, maintain consistency across systems, and support complex workflows with minimal...
My main use case for CloudQuery is helping with cloud infrastructure and managing all my cloud infrastructure, which helps me monitor, have a view, and identify potential strengths and weaknesses, giving a quick overview of cloud infrastructure usage. Mostly, it helps me in absorption of data and protection of my databases, ensuring that all my departments and the whole of my organization use our various data infrastructure systems correctly, allowing me to protect and become compliant as an organization with set standards and data privacy regulations while enhancing my usage and consumption of data significantly across a huge workflow. A quick specific example of how I use CloudQuery day-to-day is in the management of cloud infrastructure, enabling my IT teams to have an inventory of networking resources, virtual machines, databases, and storage. This centralized inventory helps me understand in easier terms my usage of various cloud environments and accounts, thus ensuring they are used safely and correctly. It helps me form a checks and balances system to view cloud infrastructure usage, gauge whether it is safe or vulnerable, and eliminate potential issues. Regarding how I use CloudQuery in my daily work, another aspect I can add is its role in risk management and executing secure cybersecurity strategies. When my security teams have a view, they can identify exposed resources and insecure configurations, as well as areas where access permissions were not granted correctly. This capability allows me to see which storage resources are vulnerable, enabling me to institute corrective measures and ensuring effective risk management while implementing secure cybersecurity strategies for safeguarding my data and organization.
My main use case for CloudQuery is as a tool for inventory platforms that lets me extract, transform, and query infrastructure data using SQL. A quick specific example of how I use CloudQuery in my inventory platforms is that I use it for compliance and governance reporting, and I also use it for security auditing to identify misconfigured or exposed resources. In addition to that, I also use it to connect custom dashboards and analytics with some BI tools.
My main use case for CloudQuery is to help find assets within our cloud environment. A specific example of how I use CloudQuery to find assets is with Prisma Cloud, where we have issues detecting all of the different assets that don't seem to be picked up by Prisma Cloud. I was using CloudQuery in order to write SQLs to find specific types of assets that weren't originally being picked up by Prisma. I use CloudQuery whenever I have issues writing RQLs for Prisma Cloud. The SQLs to find assets are a little bit easier to write, enabling me to handle more complex queries.
Our main use case for CloudQuery is understanding the AWS cost optimization part.