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Elementary

Elementary is an open-source data observability framework that continuously monitors your data and alerts you to anomalies, such as delayed table updates or unexpected null values. It integrates natively with dbt and supports Snowflake and BigQuery, providing data lineage visualization and impact analysis to help data teams detect issues early, understand root causes, and improve data reliability. Designed for easy self-hosting and customization, it stores all metadata and metrics in your data warehouse, ensuring data ownership and compliance.

platform:web platform:cloud pricing:free pricing:open-source form:open-source form:framework integration:dbt integration:snowflake integration:bigquery feature:data-quality-monitoring feature:anomaly-detection feature:data-lineage feature:alerting feature:customizable feature:self-hosted target:data-engineers target:analytics-engineers target:data-analysts use-case:data-reliability use-case:data-monitoring use-case:data-quality

Features

Data Quality Monitoring
Anomaly Detection
Data Lineage
Alerting
Customizable
Self Hosted

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Basic Info
  • Category Data
Website GitHub Doc
Availability & Pricing
  • Code Access Open Source
  • Pricing Model
    Free
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