Unified data and AI control plane for observability, quality, governance, and discovery across the entire data stack, built on a shared context engine.
Elementary Data provides an open-source data observability and governance platform built around a shared context engine that unifies metadata, lineage, logs, validations, and health signals across ingestion, transformation, semantic layers, BI, and AI workflows. Features include ML-based anomaly detection for freshness and volume, column-level lineage, data quality tests for engineers and business users, incident grouping with context-aware alerts, an AI-assisted discovery interface for conversational asset queries, and an MCP Server for integration with AI tools. The Elementary dbt package integrates seamlessly with data warehouses. Elementary is a product of Elementary.
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