Relium

Reverse ETL Software

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Relium is a data quality and integrity monitoring platform designed to evaluate and verify SQL and dbt changes prior to deployment, ensuring the accuracy and reliability of data pipelines in production environments. It detects potential risks such as broken joins, null handling issues, or lineage disruptions by analyzing code modifications, tracing downstream impacts, and providing clear risk narratives, alerts, or actionable recommendations; its primary users are data engineering, analytics, and data science teams managing complex transformation workflows. Main features include automated pull request reviews, upstream and downstream impact analysis, real-time alerts via Slack or other channels, and detailed root cause analysis reports to prevent faulty data from reaching dashboards or business metrics, effectively solving problems related to production data failures, modeling errors, and delayed incident detection.

Relium can be found in Reverse ETL Software categories.

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Drequ Verified profile Promoted → Masthead → Knowledge Relay → Reportql → Reltio →

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Relium Main Features

• Team Alerts
  It sends alerts to the team, like Slack messages, to warn about risks.
• Impact Tracing
  Relium traces what parts of the data will be affected by the change.
• Risk Detection
  It finds potential problems in SQL changes that could harm data quality or dashboards.
• Risk Narrative
  Relium gives a clear explanation of the risk and what might go wrong.
• Lineage and RCA
  It shows the lineage of data and performs root cause analysis to understand issues.
• Production Gate
  Relium helps stop bad data from going into production by catching issues early.
• Suggested Fixes
  It suggests simple actions to fix or reduce the risk in the SQL change.
• Support for Teams
  It is made for teams running production dbt pipelines to keep their data reliable.
• Review of Data Changes
  Relium reviews SQL and dbt pull requests before they go into production to catch risks early.
• Business Impact Analysis
  Relium assesses how risky changes could impact key business metrics.

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