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CloudQuery is data integration for cloud config and security data. Unify your multi-cloud asset data to secure, govern, and optimize.
Unleash your cloud config data
Cloud asset inventory
Unify all your cloud infrastructure, powering security and governance workflows.
AI application development
Feed LLMs, AI Agents, RAG pipelines, and vector stores with structured, real-time data.
Data warehouses & lakes
Centralize structured data for analytics & BI without exposing sensitive information.
Database replication
Move data between databases, across any engine, environment, or cloud.
Sync from any source, even the hard ones
CloudQuery connects to the sources that matter: including the ones hosted ELT tools can't handle
- Deep coverage for cloud platforms: AWS, GCP, Azure, Terraform, Kubernetes
- Security and identity: Okta, GitHub, IAM, security groups
- Business and SaaS: Salesforce, HubSpot, Zendesk, Stripe
- Modern AI tooling: LLMs, vector stores, agentic frameworks
Runs on your infrastructure, not ours
Data never leaves your environment. Perfect for secure or regulated use.
AI that speaks cloud
From unattached volumes to compliance gaps, just ask. CloudQuery's AI assistant generates config and SQL tailored to your schema with no manual query-writing needed.
- Generate configuration and set up syncs for any source using natural language
- No SQL knowledge needed: ask questions of your data and get relevant, context-aware responses
- Unlock the power of your cloud data for security, compliance, and cost insights
Built for developers
A code-first workflow that fits where you work
- Develop and test locally, run anywhere you want
- Debug-friendly, with no black boxes
- Git and CI/CD friendly
Flexible, composable ELT framework
Your data, your tools, your way
- Integrate across your entire stack: orchestration to transformation to data store
- Multi-language support for creating your own plugins easily
- Extensible open-source framework
Lightning-fast data movement
Built for modern data demands
- Powered by Apache Arrow for scalability and high performance
- Embed anywhere: run as a CLI, in a container, or embedded in your services
- Move data fast enough to feed LLMs, RAG, and real-time inference