Dev-First
AI-Powered
Data Observability
Elementary is built for and trusted by
1000+ analytics and data teams.
What is Elementary?
Detect anomalies in your dbt models with tests for freshness, volume, and your customizable data metrics.
ML-powered monitors automatically detect data quality issues. Out-of-the-box for volume and freshness, and opt-in for data quality metrics.
Validate data and track the results of dbt tests, dbt packages tests (dbt-utils, dbt-expectations, elementary) and custom SQL tests.
Validate there are no breaking changes in tables schema, JSON schema, and downstream exposures such as dashboards.
Configure Elementary in code, or via the UI for non-technical users or for adding tests in bulk. The platform opens PRs to your repo, saving hours of tedious YAML edits.
See the full picture of your test coverage across assets and dimensions. Easily identify gaps and prioritize coverage for critical assets.
Analyzes your data asset, metadata, lineage, and existing test suite to suggest high-impact tests that match your team’s style and priorities.
Send alerts for data quality issues and understand their impact.
Column-level lineage from source to BI. Enables granular root cause and impact analysis.
Distribute highly configurable alerts to different channels and integrations. Automatically tag owners, and enable setting status and assignees at the alert level.
Manage all open quality incidents in a single interface, with a clear view of status and assignees.
Automates root cause analysis, clarifies the impact, and suggests actionable fixes.
Allow business users to monitor and maintain their data
Up to date dashboard with current status and trends of data issues. Share the dashboard with others, enable them to slice results and stay informed.
Curate a collaborative, AI-enriched catalog with smart metadata editing, critical asset tagging, and analyst-first discovery tools.
See the Data Health scores of all your datasets by domain and share with stakeholders.
Allow business users to configure tests in the UI, without needing to write YAML or SQL.
Helps data analysts, business users, and AI tools find the right data on their own so engineers don’t have to be the bottleneck.
Visualize and edit your assets' tags, owners and subscribers, as they are in your code
Easily mark your company's crucial assets as critical, and give higher priority in monitoring and alerting to any issue that might impact them.
Edit your assets' tags, owners and subscibers in a bulk to ensure structure and the right work distribution
Manage your metadata efficiently, directly from the Elementary Catalog
Let the AI agent generate high-quality asset descriptions that align with your existing documentation and company policies.
Let the AI agent keep your catalog complete and compliant by filling metadata gaps, enforcing policies, and flagging sensitive data issues.
Connect Elementary to every part of your data stack—from your warehouse to BI, incident management and messaging tools.
Check out the integrations
Whether you need a lightweight start or an enterprise-ready platform, Elementary has a solution for you.
Learn from the Elementary team and thousands of users from our community how to set up effective, scalable data observability.
Join the Elementary Community for AI and team support, explore best practices, and stay up to date on OSS and Cloud. Connect with other data professionals and help shape what’s next.
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