Bigeye

Bigeye is a data monitoring company founded in 2019 by LinkedIn and Lyft alumni, raising $45M to build enterprise-grade data quality monitoring for the modern data stack. The platform automatically monitors data freshness, volume, and distribution in warehouses including Snowflake, BigQuery, and Databricks using a combination of configurable threshold rules and machine learning-based anomaly detection. Bigeye's approach allows data teams to set up comprehensive monitoring across hundreds of tables without manually writing data quality checks, reducing the engineering effort required to maintain trustworthy data. The platform includes a data catalog layer that tracks lineage across transformations, enabling engineers to trace quality issues back to root causes through the pipeline. Bigeye raised significant funding and serves data teams at technology companies and enterprises that operate large-scale data warehouses where manual monitoring of every table is not feasible. The company differentiates through its depth of metric types beyond basic row count checks, including statistical metrics for detecting distribution shifts that indicate data quality degradation before they become visible to business users.