BigEye

Delayed, missing, duplicated and damaged data can hinder big data initiatives. But detecting problems using manual data engineering approaches is no longer feasible given the increasing volumes of data businesses are generating today.

BigEye is a San Francisco-based startup in the data observability space that develops software tools for measuring, improving and communicating the quality of data used for self-service business analytics, machine learning models and other data-intensive tasks.

BigEye’s data observability platform, including its Autometrics, Autothresholds and Integrations products, monitors the quality of data as it flows between systems, helping data management teams identify and fix data quality problems and maintain data integrity.

The Bigeye system, offered as a fully managed SaaS service as well as for on-premises/private cloud use, instruments data sets and data pipelines, applying metrics to monitor and measure data quality, detects data anomalies, and alerts data managers when issues occur.