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
   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

SkyHawk’s integration with CloudQuery has not only streamlined our data collection processes but also empowered our team to concentrate on delivering high-value security solutions, driving overall business success.

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Reshef Sharvit

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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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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