Data observability platform
to prevent, detect, and resolve data quality issues across your entire data stack.
All-in-one platform for data observability
Automated anomaly detection
ML-based, always-on monitoring alerts you to every issue across your data stack
100% visibility into your data pipelines
Find all critical objects, schema changes, and compute-heavy queries
Forecast downstream changes for model updates
See all downstream changes before you commit your next dbt pull request
Column-level lineage for the whole stack
Accelerate your root cause analyses and understand downstream impact
Accurate, relevant, configurable alerts
Adjust alert sensitivity and types sent to your communication tool of choice
30-min setup, no maintenance
Integrate with your modern, future, or historic data stack in a few clicks
How the Metaplane platform Works
How it works
Better data,
for your whole team
Know when things break
Machine learning-based monitoring for all of your data quality metrics
Provide model feedback and customize monitors with SQL
Self-maintaining: Monitors adjust tolerance as your data evolves
Know what went wrong
Column level lineage generated from your metadata
Integrate with all your tools so that you can pick out the needle in the data stack
Incident and monitor audit history shares context to accelerate triage
Know how to prevent it
Forecast downstream changes from model updates with our Github App
Schema change alerts for all tables, even the ones you’re not monitoring
Dependency and usage indicators identify critical tables
Data quality management
Only receive the alerts you want to the channels you want
Group monitors, objects, and incidents into custom dashboards
Customize user access with roles and permissions
Works with your stack
Explore more of the platform
Schema change
Increase awareness for the entire data team
Alerting
Alerts where you work
Lineage
Understand the flow of data from source to usage
Integrations
Find integrated tool issues
Usage analytics
Prevent issues through finding early indicators / brittle points
Data CI/CD
Prevent data quality issues in PRs