Elementary

Elementary is a dbt-native data observability platform engineered to provide automated monitoring, anomaly detection, and data lineage directly within existing dbt workflows. Designed specifically for data engineers, the tool integrates seamlessly into the modern data stack to ensure pipeline reliability and data quality. Its primary differentiator is its deep, native integration with dbt, which allows teams to leverage their existing project configurations for observability without needing to manage separate infrastructure, effectively bridging the gap between data transformation and proactive pipeline health management.