Bigeye Data Observability Tool

The tool monitors data quality, lineage, and health across pipelines by ingesting metadata and sample data from connected sources. It computes a composite data quality score and provides per-object detail to enable rapid risk assessment. It also captures data lineage to illuminate data movement and schema evolution, improving governance and auditability.
Conceptually, the system combines rule-based quality checks with optional statistical drift detection to identify anomalies, track trends, and support preventive actions. It handles batch and streaming sources, supports multi-cloud warehouses, and exports metrics for downstream systems.
Beneficiaries include data engineers, data stewards, analytics teams, and ML engineers seeking trustworthy data for BI, reporting, and model training. Unique value lies in automated lineage maps, policy-driven alerts, and ready-to-export metrics that integrate with governance and dataops workflows without requiring bespoke customization.