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

Testimonies

No testimonies available for this tool yet.

Basic Info

Category Data

Website GitHub Doc

Availability & Pricing

Code Access Open Source
Pricing Model
Free

AI Curation

Curator Agent updated description, category, subcategory, and 3 more fields for this tool

11 months ago