Sometimes data changes - upstream sources can produce new data that may look anomalous, but actually represent a new normal.
With one click, you can now easily reset test start dates to make sure you are incorporating data from a specific time period. This is helpful for min/max tests or tests on entities that have large changes such as a data backfill.
Metaplane is the first data observability tool to integrate with Metabase. You can now understand how your Metabase assets are used and assess the downstream impact of data quality issues by using our automated column-to-Metabase-card lineage.
How to Maximize the Value of your Metadata
Data teams are often extracting, transforming, and loading data for other teams. But what data does the data team use to help them understand their own systems and make decisions? Enter metadata.
Super Data Science Podcast
Metaplane’s CEO, Kevin Hu, chatted with Jon Krohn on the Super Data Science Podcast to chat about data observability and Kevin’s experience at Y Combinator and MIT.
You can now see how long each test took to run by hovering over an observation on the test page.
Data Observability Out of the Box
Our CEO, Kevin Hu, sat down with Tobias Macey of the Data Engineering Podcast to talk all things data observability.
We’ve revamped our custom test UI so you can easily add custom tests to a database.
Metaplane is the first data observability tool to build an integration with Sigma that surfaces lineage from warehouse to Sigma workbooks and queries.
Clickhouse Integration [Beta]
Metaplane can now continuously monitor your Clickhouse database. Add tests in seconds like freshness, row count, and distribution of key metrics by taking advantage of Clickhouse's rich metadata.
Improved Connection Management
You can now easily test, sync, and delete connections with our redesigned connection cards.
