Bigeye is a data observability platform that monitors data pipelines, detects data quality and reliability issues, and helps teams investigate and resolve them efficiently.
Bigeye is a data observability platform that helps data and analytics teams continuously monitor the health, quality, and reliability of their data assets. It connects to modern data warehouses and lakes, then automatically profiles tables, columns, and pipelines to establish baselines and detect anomalies. Bigeye offers configurable monitors for freshness, volume, schema changes, null rates, distribution shifts, and custom business rules, enabling teams to identify issues such as late-arriving data, unexpected spikes or drops, and silent data drift before they impact downstream dashboards, models, or applications.
The platform provides a centralized interface for defining SLAs and SLOs on critical datasets, with alerting and incident workflows that integrate into existing tools such as Slack, PagerDuty, and ticketing systems. Root cause analysis features help users quickly trace problems back to specific tables, transformations, or upstream sources. Bigeye also supports data reliability reporting, helping teams quantify and communicate data quality over time.
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