diff --git a/README.md b/README.md index 63d44ac6d..34cae4941 100644 --- a/README.md +++ b/README.md @@ -1,38 +1,31 @@

-Logo +Logo

- -# [dbt-native data observability](https://www.elementary-data.com/) -

- + License Downloads

-## What is Elementary? - -This dbt-native package powers **Elementary**, helping data and analytics engineers **detect data anomalies** and build **rich metadata tables** from their dbt runs and tests. Gain immediate visibility into data quality trend and uncover potential issues, all within dbt. - -Choose the observability tool that fits your needs: - -✅ [**Elementary Open Source**](https://docs.elementary-data.com/oss/oss-introduction) – A powerful, self-hosted tool for teams that want full control. +# [dbt-native data observability](https://www.elementary-data.com/) -✅ [**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. +From the [Elementary](https://www.elementary-data.com/) 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. ### Table of Contents -- [What's Inside the Elementary dbt Package?](#whats-inside-the-elementary-dbt-package) -- [Get more out of Elementary dbt package](#get-more-out-of-elementary-dbt-package) -- [Data Anomaly Detection & Schema changes as dbt Tests](#data-anomaly-detection--schema-changes-as-dbt-tests) -- [Elementary Tables - Run Results and dbt Artifacts](#elementary-tables---run-results-and-dbt-artifacts) -- [AI-powered data validation and unstructured data tests](#ai-powered-data-validation-and-unstructured-data-tests) -- [Quickstart - dbt Package](#quickstart---dbt-package) -- [Community & Support](#community--support) -- [Contributions](#contributions) +- [**What's Inside the Elementary dbt Package?**](#whats-inside-the-elementary-dbt-package) +- [**Get more out of Elementary dbt package**](#get-more-out-of-elementary-dbt-package) +- [**Anomaly Detection Tests**](#anomaly-detection-tests) +- [**Schema Tests**](#schema-tests) +- [**Elementary Tables - Run Results and dbt Artifacts**](#elementary-tables---run-results-and-dbt-artifacts) +- [**AI-powered data validation and unstructured data tests**](#ai-powered-data-validation-and-unstructured-data-tests) +- [**Quickstart - dbt Package**](#quickstart---dbt-package) +- [**Community & Support**](#community--support) +- [**Contributions**](#contributions) -### **What's Inside the Elementary dbt Package?** +## **What's Inside the Elementary dbt Package?** The **Elementary dbt package** is designed to enhance data observability within your dbt workflows. It includes two core components: @@ -45,10 +38,10 @@ The **Elementary dbt package** helps you find anomalies in your data and build m To generate observability reports, send alerts, and govern your data quality effectively, connect your dbt package to one of the following options: -- **Elementary OSS** -- **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. -- **Elementary Cloud** - - 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). +- **Elementary OSS** + **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. +- **Elementary Cloud** + 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).