BOFU

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.

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

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

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.

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

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

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.

Orchard Analytics is an analytics consultancy that builds data infrastructure for high-growth companies. With Metaplane, Orchard Analytics and their clients are now the first to know about data quality issues. This not only builds trusted data sets for their clients, but also establishes Orchard Analytics as a trusted partner.

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 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.

South African data consultancy Horizon Data's founder shares how Metaplane helped his team move from reactive to proactive data quality monitoring for high-growth startups.

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.

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.

Security has been a priority from Day One, now affirmed with a SOC 2.