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.
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
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
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.
For additional information and help, you can use one of these channels:
- Slack community (Release announcements, community support, discussions, etc.)
- GitHub issues (Bug reports, feature requests)
- Check out the contributions guide and open issues.
Elementary contributors: ✨
