Metaplane

Metaplane is a data observability platform designed to help data teams detect, diagnose, and resolve data quality issues before they affect downstream business operations. The platform provides end-to-end visibility into the health of data pipelines, from ingestion to business intelligence (BI) tools, enabling organizations to maintain trust in their data assets. At its core, Metaplane continuously monitors data for silent quality problems—such as missing values, schema changes, freshness delays, volume anomalies, and distribution shifts—that often go unnoticed until they cause reporting inaccuracies or broken dashboards. Users can set up monitors without writing any code by selecting tables, columns, or custom dimensions through an intuitive interface. The platform supports multi-dimensional monitoring, allowing teams to track data quality across different slices (e.g., by region, product category, or date) simultaneously. This granularity helps isolate issues quickly, such as identifying that a specific source system is introducing null values only for a particular customer segment. Metaplane’s column-level lineage feature maps data flow end-to-end: it tracks how fields transform as they move from source databases (e.g., PostgreSQL, Snowflake) through ETL/ELT processes and into BI tools like Looker, Tableau, or Metabase. When a quality incident occurs, the lineage graph shows exactly which upstream tables and downstream reports are affected, reducing troubleshooting time from hours to minutes. The platform also integrates with data CI/CD workflows, automatically running quality checks when new code or schema changes are deployed, so issues are caught in pre-production environments. Automated alerts are configurable by severity, stakeholder, and communication channel (