Metaplane

Metaplane monitors data quality and observability for data teams, with alerting and investigation tools now part of Datadog.

metaplane.dev
Metaplane homepage screenshot

About Metaplane

Metaplane, now part of Datadog, is a data observability platform that monitors data quality from sources to BI tools. It helps data teams detect data incidents, understand what changed, and investigate fixes.

It provides monitors that can be configured without writing code, dimension-level checks within a table, column-level lineage, usage insights, pull-request regression and impact tests for dbt workflows, and targeted alert notifications. The site states access is read-only metadata and that it does not store data or access PII.

Key features

  • Configure data quality monitors without writing code
  • Check data quality by dimensions within a table
  • Column-level lineage from sources to BI tools
  • Usage insights by user, location, and frequency
  • Pull-request tests supporting dbt, GitHub, and GitLab
  • dbt alert routing to Slack or MS Teams
Best for: Data teams that need to monitor warehouse quality, track lineage, and review dbt changes before merging.
Good for
  • Monitor configuration without writing code
  • Lineage described as available without manual setup
  • States read-only metadata access without storing data or accessing PII

Metaplane at a glance

Type
Online tool
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Not stated
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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Metaplane FAQ

Which dbt and version-control tools does Data CI/CD support?
dbt Core and Cloud workflows, with GitHub and GitLab.
What data does Metaplane access?
It states read-only access to metadata only, without storing data or accessing PII.
How does monitoring handle changing data patterns?
It states machine learning accounts for seasonality and trends.
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