Project Icon

elementary

基于dbt的数据可观测性工具 提供实时洞察和问题检测

Elementary是一个基于dbt的数据可观测性工具,专注于数据和分析工程领域。该工具能快速部署,实现数据问题的即时检测和警报。它提供开源版和托管版两种选择,具备异常检测、自动监控和数据谱系等核心功能,有助于全面管理数据质量和理解数据问题的根源。

Logo

dbt-native data observability for analytics & data engineers

License Downloads

⭐️ Star the repo

Demo » | Docs » | Slack »

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. Elementary has two offerings: an open-source package and managed platform.


Open-source Package vs. Cloud Platform

Elementary Cloud Platform

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.

Get started with Elementary Cloud

Open-source Package

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.

Get started with the Open-source Package

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.

Support

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

Elementary contributors: ✨

<img src="https://avatars.githubusercontent.com/u/11339132?v=4"

项目侧边栏1项目侧边栏2
推荐项目
Project Cover

豆包MarsCode

豆包 MarsCode 是一款革命性的编程助手,通过AI技术提供代码补全、单测生成、代码解释和智能问答等功能,支持100+编程语言,与主流编辑器无缝集成,显著提升开发效率和代码质量。

Project Cover

AI写歌

Suno AI是一个革命性的AI音乐创作平台,能在短短30秒内帮助用户创作出一首完整的歌曲。无论是寻找创作灵感还是需要快速制作音乐,Suno AI都是音乐爱好者和专业人士的理想选择。

Project Cover

有言AI

有言平台提供一站式AIGC视频创作解决方案,通过智能技术简化视频制作流程。无论是企业宣传还是个人分享,有言都能帮助用户快速、轻松地制作出专业级别的视频内容。

Project Cover

Kimi

Kimi AI助手提供多语言对话支持,能够阅读和理解用户上传的文件内容,解析网页信息,并结合搜索结果为用户提供详尽的答案。无论是日常咨询还是专业问题,Kimi都能以友好、专业的方式提供帮助。

Project Cover

阿里绘蛙

绘蛙是阿里巴巴集团推出的革命性AI电商营销平台。利用尖端人工智能技术,为商家提供一键生成商品图和营销文案的服务,显著提升内容创作效率和营销效果。适用于淘宝、天猫等电商平台,让商品第一时间被种草。

Project Cover

吐司

探索Tensor.Art平台的独特AI模型,免费访问各种图像生成与AI训练工具,从Stable Diffusion等基础模型开始,轻松实现创新图像生成。体验前沿的AI技术,推动个人和企业的创新发展。

Project Cover

SubCat字幕猫

SubCat字幕猫APP是一款创新的视频播放器,它将改变您观看视频的方式!SubCat结合了先进的人工智能技术,为您提供即时视频字幕翻译,无论是本地视频还是网络流媒体,让您轻松享受各种语言的内容。

Project Cover

美间AI

美间AI创意设计平台,利用前沿AI技术,为设计师和营销人员提供一站式设计解决方案。从智能海报到3D效果图,再到文案生成,美间让创意设计更简单、更高效。

Project Cover

AIWritePaper论文写作

AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。

投诉举报邮箱: service@vectorlightyear.com
@2024 懂AI·鲁ICP备2024100362号-6·鲁公网安备37021002001498号