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https://github.com/elementary-data/elementary

The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.
https://github.com/elementary-data/elementary

analytics-engineer bigquery data-analysis data-governance data-lineage data-observability data-pipeline data-pipelines data-reliability data-warehouse dataops dbt dbt-artifacts dbt-packages lineage redshift snowflake

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The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.

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 dbt native data observability for analytics & data engineers










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[Demo »](https://bit.ly/3IAp9wf) | [Docs »](https://docs.elementary-data.com/) | [Slack »](https://www.elementary-data.com/community)






## What is Elementary?



Elementary is a dbt-native data observability solution for data and analytics engineers.

Set up in minutes, gain immediate visibility, detect data issues, send actionable alerts, and understand impact and root cause.

Available as self-hosted or Cloud service with premium features.



#### Table of Contents



- [Features](#features)

- [Self-hosted vs. Cloud service](#self-hosted-vs-cloud)

- [Get Started](#get-started)

- [Community & Support](#community--support)

- [Contribution](#contributions)





         








## Features



 **Anomaly detection tests** - Collect data quality metrics and detect anomalies, as native dbt tests.



 **Automated monitors** - Out-of-the-box cloud monitors to detect freshness, volume and schema issues.



 **End-to-End Data Lineage** - Enriched with the latest test results, for impact and root cause analysis of data issues. Elementary Cloud offers **Column Level Lineage** and **BI integrations**.



 **Data quality dashboard** - Single interface for all your data monitoring and test results.



 **Models performance** - Monitor models and jobs run results and performance over time.



 **Configuration-as-code** - Elementary configuration is managed in your dbt code.



 **Alerts** - Actionable alerts including custom channels and tagging of owners.



 **Data catalog** - Explore your datasets information - descriptions, columns, datasets health, etc.



 **dbt artifacts uploader** - Save metadata and run results as part of your dbt runs.



##



Our full documentation is [available here](https://docs.elementary-data.com/).



Join [Slack](https://www.elementary-data.com/community) to learn more about Elementary.



## Self-hosted vs. Cloud



### Elementary Cloud



Ideal for teams monitoring mission-critical data pipelines, requiring guaranteed uptime and reliability, short-time-to-value, advanced features, collaboration, and professional support.

The solution is secure by design, and requires no access to your data from cloud.



To learn more, [book a demo](https://cal.com/maayansa/elementary-intro-github) or see our [pricing page](https://www.elementary-data.com/pricing).



### Self-hosted



Elementary Community is an open-source CLI tool you can deploy and orchestrate to send Slack alerts and self-host the Elementary report. It is best for data and analytics engineers that require basic observability capabilities or for evaluating features without vendor approval. Our community can provide great support on [Slack](https://www.elementary-data.com/community) if needed.



## Get Started



### Elementary Cloud



1 - [Create an account](https://elementary-data.frontegg.com/oauth/account/sign-up)



2 - [Install Elementary dbt package](https://docs.elementary-data.com/cloud/onboarding/quickstart-dbt-package)



3 - [Connect Elementary Cloud](https://docs.elementary-data.com/cloud/onboarding/signup)



### Elementary Community



1 - [Install Elementary dbt package](https://docs.elementary-data.com/quickstart)



2 - [Install Elementary CLI](https://docs.elementary-data.com/quickstart-cli)



## Community & Support



For additional information and help, you can use one of these channels:



- [Slack community](https://www.elementary-data.com/community) \(Release announcements, community support, discussions, etc.\)

- [GitHub issues](https://github.com/elementary-data/elementary/issues) \(Bug reports, feature requests)



## **Contributions**



Thank you :orange_heart: Whether it’s a bug fix, new feature, or additional documentation - we greatly appreciate contributions!



Check out the [contributions guide](https://docs.elementary-data.com/general/contributions) and [open issues](https://github.com/elementary-data/elementary/issues).



**Elementary contributors: ✨**



[//]: contributor-faces