Platform Capabilities

One platform that automates data quality, validation, transformation, and pipeline management — so your team ships reliable data products faster.

Automated Data Cleaning

Detect and fix missing values, duplicates, outliers, and formatting inconsistencies across millions of rows — automatically, with configurable rules.

  • Schema-aware type detection and inference
  • Custom cleaning rules engine with conditional logic
  • Anomaly flagging and real-time alerts
  • Batch and streaming cleaning pipelines

Pipeline Orchestration

Design, schedule, and monitor data pipelines visually. Connect any source to any destination with built-in transformation steps and error handling.

  • Drag-and-drop pipeline builder with visual DAG editor
  • 200+ pre-built connectors for databases, APIs, files
  • Automatic retry logic and dead-letter queue management
  • Git-integrated version control for pipeline definitions

Data Validation & Monitoring

Define validation rules once and enforce them everywhere. Monitor data quality metrics over time and get alerted the moment something drifts.

  • Great Expectations integration for open-standard validation
  • Drift detection dashboards with trend visualization
  • Slack, email and PagerDuty alerting integrations
  • Custom data quality scorecards and reporting

Ready to clean up your data pipeline?

Join 600+ data teams that use Clean Bad Data to automate data quality and pipeline orchestration.

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