Elementary mentioned in Gartner's Market Guide for Data Observability Tools

Detect issues before they reach consumers.

Automated monitors and ML-based anomaly detection allow you to prevent downstream impact.

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Never miss critical data issues

  • Configure your critical assets in the Elementary UI.
  • Identify coverage gaps within critical assets and their upstream dependencies.
  • Filter and see which incidents impact critical assets.

dbt tests as first-class citizens

  • View detailed test execution history and results.
  • Manage configurations directly within the platform.
  • Assign owners, tags and subscribers.
  • Configurations made in the UI are synced back

Out-of-the-box freshness and

volume monitors

  • Based on query history - no impact on data warehouse compute and cost.
  • No manual setup required.
  • Monitors can detect pipeline issues as they run independently from the pipeline.

Accurate ML-powered anomaly
detection

  • Run anomaly detection monitors on various data quality metrics.
  • Fine tune configuration with an easy interface to change settings and sensitivity.
  • Simulate anomaly configuration changes with an interactive interface before applying them in production.
  • Impact results with built-in feedback mechanism.

Faster and scalable test

configuration

  • Configure dbt tests, anomaly detection and custom SQL tests.
  • Create and modify multiple tests at once.
  • Leverage AI-driven test recommendations to optimize test coverage, improve accuracy, and ensure smarter, more efficient testing at scale.

Reduce alert fatigue

Fine-tune alerts with sensitivity controls, false-positive feedback, and outcome simulations.

Scale without the overhead

Leverage automated monitors, bulk test editing, AI recommendations, and a rich test catalog to easily expand coverage.

Catch issues early

Automated pipeline health monitors, ML-powered anomaly detection and data validations give you full coverage.

“If you already invested in dbt and did the hard work of transforming how your organization thinks about data — Elementary is a no-brainer.”
Jing Wang, Data Engineering Manager, Thrive Market

Start detecting issues in minutes.

Easy onboarding, immediate insights.

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