Elementary Data

Elementary is an open-source data observability platform built specifically for modern data teams using dbt. Some key features and benefits include:

• dbt-native integration: Elementary integrates seamlessly with dbt, allowing teams to manage data quality and observability directly in their dbt projects. All configurations can be managed as code in dbt.

• Automated monitoring: Elementary automatically monitors data freshness, volume, schema changes, and can detect anomalies in data. It leverages existing dbt tests and allows adding custom anomaly detection tests.

• Data lineage: Provides column-level lineage from data warehouse to BI dashboards, making it easy to understand data flows and impact of issues.

• Actionable alerts: Sends detailed alerts with queries, sample data, and relevant metadata to help quickly diagnose and resolve problems.

• Security-focused design: Elementary Cloud does not require access to raw data, only reading metadata from a dedicated schema.

• Quick setup: Can be deployed in minutes without complex configurations.

• Open source: Core functionality is open source and backed by an active community.

• : Works with major data warehouses, orchestration tools, BI platforms, and collaboration tools.