dbqctl
dbqctl is the open-source engine behind DataBridge's data quality monitoring - a command-line tool that runs profiling and validation checks directly against your databases. It's deliberately lightweight: install the binary, point it at a database, write checks in YAML and run them. Great for local development, CI/CD pipelines, or evaluating the engine before adopting a full data-quality workflow.
Community & Support
Need help or want to contribute?
Integrations
DataBridge data quality works alongside the tools already in your data stack.
Check Types Reference
Complete documentation of all available data quality check types in DataBridge.
DataBridge Cloud
DataBridge Cloud is the managed version of the data quality monitoring platform. It provides a visual UI for profiling datasets, defining quality checks, scheduling automated validation runs and alerting on failures.
Core Concepts
Understanding these foundational concepts will help you effectively use DataBridge data quality monitoring.
Data Quality Overview
What is DataBridge Data Quality?
Quick Start
The DataBridge Dashboard handles profiling and validation tasks through a managed Agent - no CLI installation needed. See DataBridge Cloud to connect a data destination and run your first profile.
User Guide & CLI Reference
Profiling and validation tasks are now managed through the DataBridge Dashboard and Agent. The CLI commands documented here (dbqctl) reflect the legacy local workflow.