data monitoring

Adaptive flatline alerts are designed to strike a delicate balance with anomaly detection, so you get timely warnings for irregular patterns of data ingestion without being overwhelmed by false alarms. Here's the framework for setting them up.

You can now set the time zone at an account level and monitor level.

Learn more about how Metaplane's new dashboard makes it easier than ever to manage data quality from one place.

You can now see all your monitors in Metaplane at a glance, plus take bulk actions on your monitors, including triggering manual runs, resetting the predictions, and updating the run frequency for all or subset of your monitors at once.

Our new monitoring platform is here! You'll find an entirely redesigned monitor page, more predictable alert behavior, and greater visibility into your underlying data to help you achieve your data quality goals.

Learn more about how data quality tests, data monitoring, and data observability differ, while still improving data quality in their own ways.

Data observability is arguably the hottest concept in the data space today, but few have a clear sense of what it means. This blog post offers a definition of data observability, differentiates it from related concepts, and emphasizes why it's important.

Metaplane users can now add tags to their tables in Metaplane, including an integration with dbt tags and incident workflow functionality.

Data engineers use unit testing for data quality today, but quality assurance needs more. In this post, we offer best practices for robust data quality standards.

Metaplane adds WHERE clauses to monitor configurations, enabling targeted data segment monitoring. Useful for adapting to business changes or focusing on specific areas, like pricing updates or new service launches.

You can now manage your Metaplane monitors alongside your other model configuration options in dbt.

We've redesigned incidents from the ground up to help you identify the root cause with confidence and communicate with stakeholders with ease.

Metaplane now provides helpful suggestions to help you ensure that all your most important tables and columns are monitored.

Metaplane has three new out-of-the-box monitor types for numeric columns: SUM, percent negative, and percent zero.

Metaplane has built a new way to manage your monitors, including improved filtering, bulk actions, and increased visibility into the status of your monitors.

Easily monitor specific data segments with Metaplane's new partition monitors to identify root causes of data quality issues in seconds.

Whenever a new table is added to an important schema, Metaplane can automatically add monitoring like row counts and freshness. Simply visit any schema page and enable this by toggling one of the auto-add test settings.

Great Expectations is suited for catching known issues by testing binary criteria on critical tables. Metaplane is suited for catching unknown issues by testing scalar criteria on a wide range of assets.

dbt tests are suited for catching known issues, by testing binary criteria on critical tables. Metaplane is suited for catching unknown issues, by testing scalar criteria on a wide range of assets.

You can now see the number of open incidents on schemas, tables, and columns throughout the web application

Incidents help group together related failing tests so data teams can be the first to know about data quality issues.

Now you can add Metaplane tests right from table and column pages.

Metaplane now supports granular alert routing for custom tests. Simple visit the "Alerts" page, select "Set alerting rule" on your destination, and search and select your custom test.

Slack alerts now have a “Re-run test” button so you can manually check if an alert has resolved or if it’s still an ongoing issue.

You can now reset predictions for all the tests in one part of your warehouse with one click.

You can now apply bulk actions within the context of an entity page such as muting, changing the schedule, or disabling all associated tests.

Snowflake debuted their native application framework at Summit 2022, which is poised to change how software is deployed on top of data. Metaplane has built the first data observability application that can be deployed directly within your Snowflake instance, for enhanced security and ease-of-adoption.

Metaplane now monitors table+column usage analytics for Snowflake: understand how critical data is used, what should be tested, and how to prioritize data quality issues.