Dbt Data Reliability
This dbt package captures metadata, artifacts, and test results so you can detect anomalies, monitor data quality, and build metadata tables. It powers Elementary OSS and feeds the wider context layer used by Elementary Cloud’s full Data & AI Control Plane.
Install / Use
npx skills add elementary-data/dbt-data-reliabilityInstalls into whichever agent you are using.
README
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
<kbd align="center"> <a href="https://storage.googleapis.com/elementary_static/elementary_demo.html"><img align="center" style="max-width:300px;" src="https://raw.githubusercontent.com/elementary-data/elementary/master/static/report_ui.gif"> </a> </kbd>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
- Slack community — questions, team and AI support, and conversation
- GitHub Issues — bug reports and feature requests
- elementary-data.com — product, use cases, and more
Contributions are always welcome. See the contributions guide to get started. 🧡
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