Elementary Data is an observability & reliability platform purpose-built for dbt. It monitors data quality, visualizes lineage and keeps your pipelines trustworthy.
Observability, automated quality checks, column-level lineage, centralized dbt tests, governance workflows and an AI assistant (Ella) that recommends and triages tests for you.
Choose open-source self-hosting via a dbt package or the managed Elementary Cloud service—both install in minutes.
Out-of-the-box connectors for Snowflake, BigQuery, Redshift, dbt Cloud/Core, Airflow, Dagster, Slack, Jira and major BI platforms.
Elementary is code-first: you add a YAML block to your dbt repo. Basic dbt and SQL knowledge is enough to get full value.
The service reads only metadata and query logs—never your raw data—so security boundaries stay intact.
Any team running dbt in production that wants faster incident response, higher data trust and lighter governance overhead.
Ella suggests tests, ranks failures by impact, auto-tags PII, answers lineage questions and even drafts Slack alerts for you.
Databricks AI is an enterprise-grade, unified data and AI platform built on a lakehouse architecture. It brings data management, analytics and AI development into one workflow—letting teams move from raw data to production-ready intelligent apps faster, with consistent governance across any cloud.
Metaplane is Datadog's end-to-end data observability platform designed for modern data teams to monitor data quality and pipeline performance in real time, quickly detect and resolve data issues, and build trust in data.
