CloudQuery can be improved in several areas, particularly regarding the technical expertise required. It is not a platform suitable for layman staff or those lacking proficiency; it demands knowledge in data integration, cloud infrastructure, and SQL. Organizations without the necessary technical capabilities may struggle to utilize the platform effectively. Moreover, this complexity can increase the IT budget due to subscription costs, hosting, and additional maintenance expenses that can accumulate. Another area requiring improvement is the reliability of output, which currently depends heavily on data quality and access permissions. If the data in my cloud infrastructure lacks quality, the information curated will also be inaccurate, creating gaps and undetected issues. Therefore, the platform's reliability and accuracy hinge on maintaining high-quality data stored in the cloud.
CloudQuery could maybe integrate with some AI agents like ChatGPT or Claude to help us do some things like writing in natural language instead of SQL. Regarding CloudQuery's AI capabilities, I think its governance and security could be improved because it has some features that maybe can be changed, but it is mainly good. Regarding CloudQuery's AI capabilities and its accuracy and reliability of output, it is very good because it transforms all your SQL and gives you some advice about what to do.
Cloud Security Support at a tech vendor with 501-1,000 employees
Real User
Top 5
Jun 16, 2026
One of the improvements that could be made to CloudQuery is the GUI. In the past, I had issues where I couldn't see all the information that would pop up at the bottom. That might be fixed by now, but I was experiencing issues with the GUI itself. CloudQuery's AI capabilities lack governance and security features. While the AI is great for helping me craft SQLs to find assets in the environment, it does not have real security features for blocking or similar tasks. I can set up SQLs for alerting, but I find that a bit limiting. For what it is, CloudQuery is great. The only improvement I could suggest would be to set up more alerting features, but overall it is great for what it is, and I would say it feels a little bit limiting.
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...
CloudQuery can be improved in several areas, particularly regarding the technical expertise required. It is not a platform suitable for layman staff or those lacking proficiency; it demands knowledge in data integration, cloud infrastructure, and SQL. Organizations without the necessary technical capabilities may struggle to utilize the platform effectively. Moreover, this complexity can increase the IT budget due to subscription costs, hosting, and additional maintenance expenses that can accumulate. Another area requiring improvement is the reliability of output, which currently depends heavily on data quality and access permissions. If the data in my cloud infrastructure lacks quality, the information curated will also be inaccurate, creating gaps and undetected issues. Therefore, the platform's reliability and accuracy hinge on maintaining high-quality data stored in the cloud.
CloudQuery could maybe integrate with some AI agents like ChatGPT or Claude to help us do some things like writing in natural language instead of SQL. Regarding CloudQuery's AI capabilities, I think its governance and security could be improved because it has some features that maybe can be changed, but it is mainly good. Regarding CloudQuery's AI capabilities and its accuracy and reliability of output, it is very good because it transforms all your SQL and gives you some advice about what to do.
One of the improvements that could be made to CloudQuery is the GUI. In the past, I had issues where I couldn't see all the information that would pop up at the bottom. That might be fixed by now, but I was experiencing issues with the GUI itself. CloudQuery's AI capabilities lack governance and security features. While the AI is great for helping me craft SQLs to find assets in the environment, it does not have real security features for blocking or similar tasks. I can set up SQLs for alerting, but I find that a bit limiting. For what it is, CloudQuery is great. The only improvement I could suggest would be to set up more alerting features, but overall it is great for what it is, and I would say it feels a little bit limiting.
If we had better support in terms of query with SQL, then that would have been better.