CloudQuery Reviews

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.

CloudQuery has positively impacted my organization by enhancing cloud infrastructure usage across departments, allowing my IT teams to guide various departments—human resources, security, sales and marketing, finance, procurement—on how to better use my cloud infrastructure investments for growth. This guidance improves their understanding of data usage and management, leading to enhanced planning and forecasting. When performing forecasts and analysis, real-time visualization reports are crucial. With centralized visibility, my IT teams provide me with accurate insights into my cloud infrastructure management, enabling me to make informed plans backed by proper data management. Additionally, it helps streamline my services, ensuring customers are easily onboarded and well attended to, whether in-person or remotely, by leveraging data management and cloud infrastructure management.

I have seen substantial impacts, particularly regarding time saved and cost savings. For example, I have reduced the implementation speed of some processes by even a third, which significantly lowers overhead expenses and contributes to profitability.

CloudQuery offers a number of features, and one of its best features is the centralized visibility it provides. This is the biggest advantage it brings by availing infrastructure information from various cloud services and providers I use into a central view. Instead of having a fragmented view where each cloud provider is viewed separately, I now have a common view, allowing my IT teams to work efficiently with centralized visibility, reducing the time spent on separate checks and enabling faster resource management. Additionally, it simplifies the process of analyzing infrastructure data, as a fragmented approach can take time and become confusing, possibly concealing vulnerability or security concerns. With the centralized view that CloudQuery offers, technical and security teams can utilize the SQL-based approach, combining information from each source and analyzing the data easily. Furthermore, it helps close compliance and security gaps; with that view, I can generate reports highlighting vulnerabilities, leading me to plan better and eliminate any exposures, thus ensuring effective execution of my work.

The feature that has had the most significant impact on my team is the centralized visibility, as it enables swift management of cloud infrastructure. When management of cloud infrastructure is centralized and simplified, my teams are able to approach tasks efficiently, informing me of lapses in service delivery or if we are mismanaging my cloud infrastructure. This allows me to rectify issues quickly, ensuring I stay on top of database management and other data usages. My teams interact with these features daily as they access information stored in databases, create data, and relay information from their activities. They receive updates easily and are guided by my IT teams on the correct usage and management of cloud infrastructure.

Another feature worth mentioning is the ability to support proactive monitoring. The platform aids my teams in identifying and routing potential problems before they hinder my workflow. This proactive monitoring is advantageous for planning and enhancing my customer services.

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.

I have been using CloudQuery for the last four years.

CloudQuery is stable and provides consistent services with no downtime, allowing my organization to receive services effectively.

CloudQuery is stable; it is a platform that maintains reliable services.

The scalability plan for CloudQuery is well executed; as we continue to grow and require additional packages, the vendor supports me well, and the scalability process is straightforward with minimal hindrances.

The scalability of CloudQuery is excellent; as we grow, I can add more versions easily, supported by a vendor that is very responsive to my needs.

Customer support is attentive and willing to listen to clients, providing accurate information upon queries and guiding users in a clear and understandable manner. Customer support is perfect and responsive.

I would rate customer support an eight out of ten.

I did not use a different solution before CloudQuery; it is my first solution in data management.

I have seen a return on my investment with CloudQuery by saving money through centralized views that allow my teams to work swiftly on one platform. This enables me to manage cloud infrastructure efficiently, avoiding multiple investments in different data management and cloud infrastructure monitoring systems. Consequently, I save time and money while needing fewer employees, as one team can manage everything using CloudQuery rather than having separate teams for different platforms.

My experience with pricing, setup costs, and licensing was not frustrating; I executed everything smoothly by following the vendor's outlined steps, resulting in a rewarding experience.

Before choosing CloudQuery, I did not evaluate any other options.

My recommendation to others reading reviews on PeerSpot is that if they seek to leverage cloud infrastructure management and monitoring with ease, CloudQuery is the right choice. It simplifies processes for IT teams, ensuring proper visibility and management of vulnerabilities or exposure, allowing for timely insights and efficient workflow and portfolio management. I rate CloudQuery a nine out of ten.

I choose a nine out of ten for CloudQuery due to its ability to simplify the management of data and cloud infrastructure processes. Finding a platform that effectively handles big data management and offers a swift implementation with significant transformations is challenging. CloudQuery connects well with the role of cloud infrastructure management, providing rapid and impactful changes without delays in execution, ensuring everything related to database and data management functions effectively.

Regarding governance and security, CloudQuery is a capable and stable platform, offering secure services with a dependable centralized view. User permissions and controls are well-implemented, making it a governable and secure choice at every stage of usage.

On its accuracy and reliability of output, CloudQuery consistently delivers reliable service; I have not encountered disputes or any disregard for the services provided. Therefore, it is a reliable platform with acceptable output quality.

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.

I think the best feature CloudQuery offers is the AI aspect that allows you to tell it what you want, and it writes SQL for you. This really cuts down on time and effort.

The AI-generated SQL works well for my team as it gets things right most of the time. When it was first introduced, there were issues where I had to edit it, but after updates, it became very useful to the point where minimal edits were needed. If an edit was necessary, I could follow up with the AI and it would fix any mistakes automatically.

CloudQuery positively impacts my organization by helping us find assets easier. For instance, I was looking for any type of publicly accessible assets within the cloud environment and was having issues with Prisma, so CloudQuery made it easier to find those assets.

It became much easier to find assets with CloudQuery, and I noticed a lot of time saved, especially because of the AI SQL writer that does the work for us. I was spending hours trying to craft an RQL for Prisma, but I could figure out the SQL in CloudQuery in minutes.

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.

I have used CloudQuery for about three to four months.

CloudQuery is very stable, and I have not had any issues.

CloudQuery's scalability seems fine. It has not had any issues when I put my environment on it.

Customer support is great. I have calls with two of the team members at CloudQuery on a semi-regular basis, and they took my feedback and implemented things very quickly. I was very impressed by the support that I received while using it.

I used CloudQuery in conjunction with Prisma Cloud. I did not fully switch; instead, I used it as an additional layer of my security.

I proceeded with a free trial, but I was not involved when it came to the cost, so I am not sure.

I do not have a business relationship with this vendor other than being a customer.

I am unsure about the money saved, but as I mentioned earlier, there was definitely a lot of time saved. I spent a couple of hours trying to craft certain RQLs in Prisma, but I could find the same asset information in CloudQuery in less than an hour, whereas Prisma took hours and hours to get things figured out.

I did not purchase CloudQuery through the AWS marketplace; I just used it for a free trial for a few months.

Before choosing CloudQuery, I did not evaluate other options.

CloudQuery really acts as an asset inventory tool, which is great, but I find that somewhat limiting.

My advice to others looking into using CloudQuery is to know the limitations. CloudQuery is a great product for getting asset inventory of your cloud environment, at least based on my experience from a few months ago, but it is not much more than that, and it excels at what it does. I would rate this review an eight out of ten.

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.

CloudQuery has positively impacted my organization because instead of navigating through multiple cloud consoles, I can run an SQL query and get, for example, all my S3 buckets that are public, private, or that I need to do something with.

Since I started using CloudQuery, we have reduced our auditing and checking data by almost 20 to 30%.

The best features CloudQuery offers include some FinOps tools to help you analyze unused or underutilized resources, and it helps you assure that all your resources are in compliance and governance.

Regarding how those FinOps tools have helped me analyze resources or ensure compliance, what I use helps me to identify what my resources are that are not being used, because when I start a development, I sometimes deploy many things and then forget to turn them off or shut them down.

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.

I have been using CloudQuery for almost three years.

My advice to others looking into using CloudQuery is that if you like SQL, you can use this product as if it was MySQL, SQL Server, or any other relational database. I would rate this product a 10 out of 10.