
Elementary Data is a dbt-native data observability solution designed for data and analytics engineers. It empowers teams to monitor, test, and manage data pipelines quickly while integrating seamlessly with existing dbt workflows. Available as both a self-hosted solution and a cloud service, it offers premium features that scale with your needs.

About Elementary Data
Elementary Data provides a comprehensive platform to monitor critical data assets and pipelines with real-time dashboards, automated anomaly detection, and incident management. Its code-first approach leverages your existing dbt tests to ensure transparency and data reliability. The tool is built to enable both technical and non-technical users to collaborate effectively and make confident data-driven decisions.
Key Features
- dbt-native, code-first integration that leverages existing tests and configurations
- Automated anomaly detection and real-time data health scoring
- End-to-end column-level data lineage for impact analysis
- Streamlined incident management with advanced alerting
- Easy collaboration for both technical and non-technical users
- Predictable, scalable pricing without limits on monitored tables
Pricing
Ideal for teams laying the foundations of data observability.
- ✓2 Seats, 1 Environment (+$ additional)
- ✓Unlimited monitored tables
- ✓End-to-end column-level lineage
Designed for mission-critical data pipelines with enhanced monitoring and proactive incident management.
- ✓8 Seats, 2 Envs (+$ additional)
- ✓Advanced alerts
- ✓Triggered syncs for real-time monitoring
For large organizations scaling data observability with robust security and custom support.
- ✓20+ Seats, 4+ Envs
- ✓Custom contracts and SLA
- ✓Advanced security integrations (OKTA, SAML)
Summary
Elementary Data delivers a robust, integrated solution for monitoring and maintaining high-quality data pipelines. Its seamless alignment with dbt workflows, combined with clear dashboards and scalable pricing plans, makes it a powerful tool for driving data reliability and collaborative decision-making.
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