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