Data quality monitoring for Redshift

Automated data quality thresholding and alerting to improve data accuracy and drive your business forward.

How it works

Metaplane uses your provisioned IAM permissions to securely access your Redshift instance. Our machine-learning based approach then infers and updates data quality metric thresholds for visibility into every data.


Complete key object coverage

Data quality monitors for every table, setup in clicks, with no maintenance needed
Support for custom SQL monitors for unique business logic
Understand object usage to improve data hygiene

Lineage beyond your warehouse

Track how schema changes perpetuale through your system
Upstream visibility into transactional databases and ELT tools
Downstream visibility to understand impact on Business intelligence dashboards

Alerting where and when you want it

Route alerting by schema changes or data quality metrics
Get alerts for your most critical databases, schemas, or tables
Configure alerts for your unique business groups

Monitor types

Row counts

Alerts on-changes to expected volume


Alerts no longer than expected update times


Alerts on new or removed unique values

Nullness / Uniqueness

Alerts on changes to percentage nullness or uniqueness


Alerts on changes to statistical properties like mean, min, max, standard deviation

Custom SQL

Alerts on anomalies for arbitrary SQL queries that return a number

Other features of the Metaplane platform

Monitoring & anomaly detection

Be the first to know when something breaks

Schema Change alerts

Increase awareness for the entire data team

Usage Analytics

Explore how your data is being used

Lineage and impact analysis

Understand the flow of data from source to usage

Data CI/CD

Prevent data equality issues in PRs

Job Monitoring

Catch stuck or long-running jobs as they happen

Start monitoring your data in minutes

Connect your warehouse and start generating a baseline in less than 10 minutes. Start for free, no credit-card required.