Monte Carlo

Data observability platform for detecting and preventing data quality issues

About Monte Carlo

Monte Carlo is a data observability platform that monitors data pipelines, warehouses, and analytics environments using ML-based anomaly detection to surface data quality incidents. It tracks lineage across warehouse connections including Snowflake, Databricks, and BigQuery, and provides automated root-cause analysis when issues arise. Pricing is custom and consumption-based, typically ranging from $25K to $50K per year for mid-sized deployments.