feature announcement

Read more about Metaplane's latest feature that eliminates the training period for your machine learning based monitors.

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

Managing which schema change alerts your team receives is now easier than ever.

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 supports Databricks as our newest data source. Through the integration, you can continuously test your data for anomalies, monitor query performance over time, and generate upstream dependencies of BI assets.

Metaplane's new Daily Update Slack message helps turn down the noise by putting all of our less-timely updates into a single, convenient spot.

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.

Metaplane's new lineage visualization helps you prevent downstream issues, identify root causes, and spread data awareness across your organization.

Today, we’re excited to announce that dbt Core users can now unlock the power of Metaplane. Get real-time monitoring for your dbt jobs and model-to-model lineage.

We built Metaplane for data engineers, and we’re always on the lookout for ways we can help you make your monitoring more robust, more flexible, and more powerful. That’s why we’re thrilled to announce our first public API.

Modern data teams have increasingly complex and powerful solutions for making sure their data is exactly where it needs to be, when it needs to be there, and in the correct format. ELT tools like Fivetran hold a goldmine of useful information, including hints about the potential root causes for data issues that might have started upstream.Metaplane now integrates with Fivetran, giving our joint users a richer view into the makeup and health of their whole data ecosystem.

Today we're announcing that Metaplane now supports Microsoft Teams. You can configure Metaplane to send incident alerts for any database, schema, table, or column as well as schema changes to any Microsoft Teams channel.

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

Metaplane now supports Microsoft Power BI. When you connect Metaplane to Power BI, our platform automatically ingests metadata about workspaces, reports, and dashboards and builds table level lineage.

Data Test Previews gives busy data teams a hand by automatically testing any changes made to their data in a development branch.

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.

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

As you navigate Metaplane, you’ll notice usage hints in most places that we list a schema, table or column name. This can help you understand what parts of the warehouse are most frequently used at a glance.

Metaplane now allows you to create fine-grained schema change alerting rules per Slack channel, per database.

We now support PagerDuty as a destination for data incidents, so that users can be paged once for groups of related alerting monitors, rather than per individual alerting monitor.

It’s easier than ever to add Snowflake databases. Metaplane now auto generates all of the SQL necessary to connect a database, decreasing the set up process down to minutes.

Metaplane now integrates with GitHub for impact analysis on dbt pull requests. Know which models and BI assets are affected by changes, share analysis with stakeholders, and see data incident causes via dbt history.

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.

Our new homepage helps you get right to the data you're looking with a front and center search bar. You'll also see an overview of failing tests in your stack and the status of you integrations.

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.

You can now easily manage your team by inviting teammates or removing teammates from the account page.

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.

Learn about Metaplane's warehouse to BI tool data lineage visualization tool and how you can build data awareness, prevent downstream BI issues, and decrease data debt.