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Elementary

Open-source data observability for dbt

Overview

Elementary is an open-source data observability tool built specifically for dbt. It adds anomaly detection, data quality monitoring, and lineage visualization to your dbt project. Everything runs inside your warehouseβ€”no data leaves your environment.

Key Features

  • βœ“ dbt Native: Installs as dbt package
  • βœ“ Anomaly Detection: ML-based monitoring
  • βœ“ Test Results: Enhanced dbt test reporting
  • βœ“ Lineage: Visualize dbt dependencies
  • βœ“ Alerts: Slack/email notifications
  • βœ“ In-warehouse: All data stays in your warehouse

Pros

  • πŸ‘ Perfect dbt integration
  • πŸ‘ True open-source
  • πŸ‘ No data extraction required
  • πŸ‘ Easy to add to existing projects
  • πŸ‘ Good Slack alerting
  • πŸ‘ Active development

Cons

  • πŸ‘Ž dbt-only (not standalone)
  • πŸ‘Ž Cloud features are newer
  • πŸ‘Ž Limited to dbt ecosystem
  • πŸ‘Ž Anomaly detection needs tuning

Best For

dbt teams wanting observability without adding another vendor. Great first step into data observability.

Founded: 2021 HQ: Tel Aviv, Israel