CloudQuery
Plugin-based ingestion of infrastructure and SaaS data
CloudQuery is profiled here as a Data Ingestion tool for engineering teams. Read about features, pricing, and how it compares to related options in the tools directory.
Description
CloudQuery is a data ingestion framework that pulls data from cloud providers, SaaS tools, and APIs into a database or warehouse for analysis. Built around a plugin model, it pairs source plugins that read from services like AWS, GitHub, and Stripe with destination plugins that write to Postgres, BigQuery, and others, all driven by configuration. Teams use it to build a queryable inventory of cloud infrastructure for security and FinOps, and CloudQuery offers a free tier alongside its managed platform.
Key Capabilities:
Source plugins that read from cloud providers, SaaS tools, and APIs
Destination plugins that load into Postgres, BigQuery, and warehouses
Configuration-driven syncs that run on a schedule or in CI
A high-performance engine for extracting and loading at scale
An SDK for building custom source and destination plugins
Cloud asset inventory for security, compliance, and cost analysis
Alternative tools
- RudderStack
Warehouse-native customer data pipeline and Segment alternative
- Estuary Flow
Real-time data integration with change data capture
- dlt
Open-source Python library for building data pipelines
- Fivetran
Fully managed, automated data movement at scale
- Airbyte
Open-source data integration with hundreds of connectors