CloudQuery for Engineering Teams

Analyze development at scale, remove road blocks and improve engineering and product team velocity.

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# normalize view across all resources
create view stale_issues as (
   select id, open_date, close_date from github_issues
   union
   select id, open as open_date, close as close_date
     from jira_issues
)

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CloudQuery's open-source, high-performance data integration platform proved invaluable in our journey to build a resilient CSPM-stack. With the ability to extract metadata from AWS accounts and other services, it offers a comprehensive solution for data collection and analysis, empowering our security efforts.

Jan Claeyssens

Hexagon's CloudQuery-driven serverless data lake project was a resounding success, demonstrating the versatility of a fully serverless solution. The decision to choose CloudQuery and embrace a serverless approach brought not only confidence but also significant benefits, eliminating time-consuming updates and minimizing maintenance efforts.

Peter Figueiredo

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We took care of everything, so you can do your job easily and efficiently.

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Syncing hundreds of thousands of resources takes just a fraction of time compared to other tools in the market.

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Effortless setup and synchronization with a simple YAML configuration, enabling you to work with APIs using familiar SQL language.

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