Embrasure is a data observability platform that automates data quality management and incident response. It monitors production tables, traces failures through column-level lineage, identifies root causes, maps downstream impacts, and prepares evidence-backed remediation plans.
The platform integrates with data warehouses like Snowflake, BigQuery, Redshift, Spark, Databricks, PostgreSQL, and Trino, as well as orchestration systems like Airflow and Kafka, and BI tools like Looker for comprehensive lineage mapping.
Embrasure validates code changes by analyzing lineage, testing with production-shaped data, and flagging breaking changes on pull requests to prevent downstream issues.
For incidents, it diagnoses stale tables, failed pipelines, and anomalies, routing issues to owners with decision-ready briefs. By consolidating metadata, configurations, logs, and dependencies, it provides unified context for investigating data lineage and resolving issues.
