Bigeye provides automated data quality monitoring with autogenerated metrics and ML-powered anomaly detection. Pricing includes free Community tier (limited checks) and enterprise pricing for production use. The platform automatically generates relevant metrics for each table without manual configuration—profiling data to create appropriate checks for each column type. Autothreshold feature sets alert boundaries using ML rather than manual specification. Data SLA management enables defining and tracking reliability agreements for data products. Lineage integration shows downstream impact of quality issues. Query-level visibility tracks which data quality issues affect which downstream reports. Supports Snowflake, BigQuery, Redshift, Databricks, and PostgreSQL with read-only access patterns. The pipeline-aware monitoring understands expected data arrival patterns. Page should cover: autogenerated metrics explanation, autothreshold ML methodology, data SLA configuration, comparison with Monte Carlo and Soda, Community vs Enterprise features, and use cases for automated quality monitoring.