metaplane

2024 was a year to remember for the Metaplane team. Join us as we look back at some of our favorite and most impactful features we shipped in 2024, and peek at what’s coming next

Metaplane raised $13.8M to scale data trust for businesses. Discover our plans to grow from 100 to 10,000 data-trusting companies.

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

Discover what data observability is and why it’s crucial for ensuring data quality, reliability, and trust across modern analytics systems.

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.

Monitor data segments with WHERE clauses in Metaplane, ideal for adapting to business changes or focusing on specific areas.

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, enabling continuous anomaly detection, query performance monitoring, and BI asset dependency mapping.

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.

A deep dive into the technologies we used to build Metaplane's new column-level lineage map, and the lessons we learned about SQL parsing along the way.

Unlock real-time monitoring for dbt jobs and model-to-model lineage with Metaplane, now available for all dbt Core users.

We built Metaplane for data engineers. Introducing our first public API to enhance your monitoring experience with robust, flexible, and powerful data tools.

ELT tools hold insights for upstream data issues. Metaplane's Fivetran integration offers a comprehensive view of your 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.

Automate monitoring in Metaplane with schema settings. Add row counts and freshness tests for every new table in your critical schema.

We've raised $8.4M in funds to bring data observability to every data team.

Great Expectations is for catching known issues via binary tests on critical tables, while Metaplane identifies unknown issues with scalar criteria.

dbt tests catch known issues with binary criteria, while Metaplane detects unknown issues using scalar criteria across various assets.

Orchard Analytics builds data trust for high-growth firms with Metaplane, elevating their reputation as a trusted analytics partner.

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

Usage hints in Metaplane reveal frequently accessed warehouse areas, providing quick insights into data utilization trends.

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

PagerDuty integration reduces alert fatigue, grouping related monitors for actionable notifications on critical data incidents.

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 integrates with GitHub for dbt impact analysis. See affected models and BI assets, and identify data issues via dbt history.

Learn how Horizon Data moved to proactive data monitoring with Metaplane, transforming data quality for high-growth startups.

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

Metaplane adds precision with timestamp column filters, enabling rolling time window tests to monitor only the most recent and relevant data.

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

The new Metaplane homepage makes navigation easy with a central search bar, failing tests overview, and integration status.

Granular alert routing in Metaplane simplifies monitoring with custom rules for destination alerts and streamlined issue detection.

Metaplane now supports both customer-provided GCP service accounts in addition to Metaplane managed service accounts.

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's Snowflake app offers secure, native data observability with ease-of-adoption, changing how software integrates with data.

Monitor Snowflake table+column usage with Metaplane to prioritize data issues and understand critical assets in your warehouse.

Metaplane's lineage tool maps warehouse-to-BI workflows, preventing BI issues, boosting awareness, and cutting data debt.

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