Capability
Dataset Performance Analysis
10 artifacts provide this capability.
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via “model execution performance tracking and sla monitoring”
Open-source dbt-native data observability and anomaly detection.
Unique: Collects model execution metrics natively from dbt run_results.json and stores in Elementary's metadata schema, enabling SQL-based performance queries without external APM tools. Compares against historical baselines using statistical methods (z-score, moving average).
vs others: Simpler than external APM tools (DataDog, New Relic) and more dbt-specific than generic performance monitoring. Enables performance SLAs to fail dbt runs, unlike dashboards that only visualize metrics.