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@@ -17,20 +17,27 @@ This dbt-native package powers **Elementary**, helping data and analytics engin
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Choose the observability tool that fits your needs:
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✅[**Elementary Open Source**](https://docs.elementary-data.com/oss/oss-introduction)– A powerful, self-hosted tool for teams that want full control.
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✅[**Elementary OSS**](https://docs.elementary-data.com/oss/oss-introduction)– A powerful open-source data observability layer for dbt. It runs in your pipeline, captures rich metadata and artifacts, and includes alerting and reporting to help engineers surface issues early.
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✅[**Elementary Cloud Platform**](https://docs.elementary-data.com/cloud/introduction)– A fully managed, enterprise-ready solution with **automated ML-powered anomaly detection, flexible data discovery, integrated incident management, and collaboration tools**—all with minimal setup and infrastructure maintenance.
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✅[**Elementary Cloud**](https://docs.elementary-data.com/cloud/introduction)– A managed, AI-driven control plane for observability, quality, governance, and discovery. It includes automated ML monitoring, column-level lineage from source to BI, a built-in catalog, and AI agents that scale reliability workflows. Cloud supports both engineers and business users, enabling technical depth and simple self-service in one place.
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### Table of Contents
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-[What's Inside the Elementary dbt Package?](#whats-inside-the-elementary-dbt-package)
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-[Get more out of Elementary dbt package](#get-more-out-of-elementary-dbt-package)
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-[Data Anomaly Detection & Schema changes as dbt Tests](#data-anomaly-detection--schema-changes-as-dbt-tests)
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-[Elementary Tables - Run Results and dbt Artifacts](#elementary-tables---run-results-and-dbt-artifacts)
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-[AI-powered data validation and unstructured data tests](#ai-powered-data-validation-and-unstructured-data-tests)
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-**Elementary OSS**
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-**A self-maintained, open-source CLI** that integrates seamlessly with your dbt project and the Elementary dbt package. It **enables alerting and provides the self-hosted Elementary data observability report**, offering a comprehensive view of your dbt runs, all dbt test results, data lineage, and test coverage. Quickstart [here](https://docs.elementary-data.com/oss/quickstart/quickstart-cli), and our team and community can provide great support on [Slack](https://www.elementary-data.com/community) if needed.
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-**Elementary Cloud**
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- A **fully managed, enterprise-ready** solution designed for **scalability and automation**. It offers automated **ML-powered anomaly detection**, flexible **data discovery**, an integrated **incident management system**, and **collaboration features.** Delivering **high value with minimal setup and infrastructure maintenance**, it's ideal for teams looking to enhance data reliability without operational overhead. To learn more, [book a demo](https://cal.com/maayansa/elementary-intro-github-package)or [start a trial](https://www.elementary-data.com/signup).
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- A managed, AI-driven control plane for observability, quality, governance, and discovery. It includes automated ML monitoring, column-level lineage from source to BI, a built-in catalog, and AI agents that scale reliability workflows. Cloud supports both engineers and business users, enabling technical depth and simple self-service in one place. To learn more, [book a demo](https://cal.com/maayansa/elementary-intro-github-package)or [start a trial](https://www.elementary-data.com/signup).
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