How it works
Three layers.
One platform.
Relium combines metadata inspection, SQL lineage analysis, and risk detection to catch data quality issues before they reach dashboards.
Inspect Metadata
Track schema, row counts, NULL rates, and freshness across all tables and models.
Detect Anomalies
Compare current metrics against learned baselines to spot unexpected changes.
Analyze SQL Risk
Parse SQL to identify join logic, filter placement, and cardinality issues.
Trace Lineage
Map which models depend on affected tables and what downstream impact matters most.
Create RCA Report
Correlate symptoms and generate root cause analysis with evidence and remediation paths.
Core Capabilities
Baseline Learning
Relium learns normal behavior from historical metrics. You set the sensitivity — we do the anomaly detection.
Pattern RecognitionSQL Risk Detection
Parse dbt models and raw SQL to flag risky patterns: implicit JOINs, INNER vs LEFT mismatches, complex subqueries.
Code AnalysisIncident Correlation
When a source table breaks, we automatically find all downstream models affected and group them into one incident report.
Graph LineageAI-Powered Explanations
Optional integration with Groq or OpenAI for natural-language root cause hypotheses and remediation suggestions.
Optional LLM