CloudQuery
The open source high performance ELT framework powered by Apache Arrow
| Category | Data Security & Encryption |
|---|---|
| Community Stars | 5941 |
| Last Commit | last week |
| Last page update | 19 days ago |
| Pricing Details | Free and open source |
| Target Audience | Data engineers, Cloud architects, DevOps teams. |
CloudQuery addresses the complex challenge of integrating and analyzing data from diverse cloud and security sources by providing a highly performant and extensible data movement framework. At its core, CloudQuery leverages Go's concurrency model and Apache Arrow for efficient data streaming over gRPC, enabling the rapid ingestion and processing of large data volumes without intermediate storage.
The technical architecture of CloudQuery is designed for simplicity and portability. It can be deployed as a single-binary executable, making it versatile for use in various environments, including local machines, CI/CD pipelines, and cloud infrastructures. The framework is stateless, allowing for horizontal scaling on platforms such as VMs, Kubernetes, or batch jobs. This scalability is crucial for handling the vast amounts of data generated by modern cloud infrastructures.
Operationally, CloudQuery supports a wide range of integrations with major cloud providers like AWS, GCP, and Azure, as well as other tools such as GitHub, GitLab, and Kubernetes. It allows users to sync data to various destinations, including databases like PostgreSQL, and supports transformations and visualizations through standard SQL queries. This flexibility is enhanced by an open-source SDK that enables developers to write custom connectors in languages like Go, Python, Java, or JavaScript.
Key operational considerations include the management of connectors and destinations, which can be configured via a cloudquery.yml file. This file defines the sources, destinations, and other parameters necessary for the data sync process. Additionally, CloudQuery's performance is optimized for real-time data streaming, but this may come at the cost of increased resource utilization, particularly in large-scale deployments.
In terms of technical details, CloudQuery's use of gRPC and Apache Arrow ensures low-latency and high-throughput data transfer. The framework also supports advanced use cases such as cloud security posture management (CSPM), cloud asset inventory, and attack surface management, all of which can be managed through SQL-based policy definitions.