Metaplane

Founded by Kevin Hu in 2020

Monitor data quality and catch pipeline issues before they affect downstream analytics dashboards

Pricing model

Free

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Metaplane to track data quality issues across your entire data warehouse and business intelligence stack. It automatically monitors table freshness, volume, and column-level distributions while accounting for seasonal trends. When unexpected schema changes or metric anomalies occur, the system sends context-rich alerts directly to your team channels. You can also trace column-level lineage from source tables to dashboards, run automated CI/CD impact tests on pull requests before merging changes, and identify unused queries to manage data debt effectively.

What Metaplane does

Monitor data warehouses for distribution anomalies and metric driftMap downstream table dependencies using automated column lineageRun impact analysis on proposed database changes in pull requestsConfigure automated alerts for unexpected schema modificationsInspect failing dbt runs and test results in real timeTrack warehouse usage to identify and remove unused queriesEnd-to-end column-level data lineage trackingAutomated anomaly detection accounting for seasonality and trendsData CI/CD tests for pull requests with GitHub and GitLabAutomated schema change tracking across tables and columnsAlert routing directly to Slack and Microsoft TeamsNative Snowflake application running inside your warehouse

Pricing breakdown

Pricing model: Free

PlanList price

FreeFree

Frequently asked

dbt

Microsoft Teams Datadog

Datadog

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