Elementary Data
Control plane for data observability, quality, governance, and discovery. Connects engineers and business teams with AI-powered validation and exploration.
Elementary Data is an open-source alternative to:
Elementary Data is the control plane for data and AI reliability, unifying observability, quality, governance, and discovery. It enables teams to deliver trusted data at scale in the AI era.
Key Features
- AI Agents: Automate test creation, incident triage, governance, discovery, and performance optimization
- Detection & Coverage: Comprehensive data tests and ML-powered monitors for better coverage
- Governance: Unified interface for analysts and engineers to explore data and manage metadata
- Triage and Response: Understand, prioritize, and resolve issues faster
- Business User Tools: Enable analysts and business users to explore data, add validations, and monitor health
- Integrations: Works with your existing data stack
- Context Engine: Shared context on every dataset and event across your stack
Tech / Self-Hosting
Elementary offers both a cloud version and an open-source self-hosted option. The open-source version is available on GitHub.