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dbt-native data observability

From the Elementary team, helping you deliver trusted data in the AI era. Ranked among the top 5 dbt packages and supported by a growing community of thousands.

Need data reliability at scale? The Elementary dbt package is also the foundation for Elementary Cloud — a full Data & AI Control Plane with automated ML monitoring, column-level lineage from ingestion to BI and AI assets, a built-in catalog, and AI agents that scale reliability workflows for engineers and business users. Book a demo →

What it does

The package has two core components:

1. Elementary Tables Using dbt's on-run-end hook, the package automatically parses your dbt artifacts and run results and loads them as structured tables into your warehouse. This includes:

  • Metadata tables — models, tests, sources, exposures, columns, seeds, snapshots, and more
  • Run results tables — invocations, model run results, test results, source freshness, and job-level outcomes

These tables are the backbone of any observability setup — enabling alerts, reports, and lineage when connected to Elementary OSS or Cloud. → See full table reference

2. Elementary Tests A suite of anomaly detection and data quality tests that run like native dbt tests — no separate tooling. Covers volume, freshness, column distributions, schema changes, and AI-powered validation for structured and unstructured data. → See all tests

Quickstart

→ docs.elementary-data.com/data-tests/dbt/quickstart-package

See it in action

Get the most out of the dbt package

The dbt package works standalone, and integrates with both:

  • Elementary OSS — Self-hosted CLI for alerts and a local observability report.
  • Elementary Cloud — A full Data & AI Control Plane with automated ML monitoring, column-level lineage from ingestion to BI and AI assets, a built-in catalog, and AI agents that scale reliability workflows for engineers and business users. Start a trial → or book a demo →

Community & Support

Contributions are always welcome. See the contributions guide to get started. 🧡