Metadata metrics are a kind of autometric that get info from datasource scans instead of querying your data (helping to minimize costs). Metadata metrics can help you determine the health of an asset before deciding what deep metrics to create.

Not all datasources support each metadata metric. Also, in some datasources metadata metrics are approximate or not updated frequently unless there are table-level operations (such as VACUUM).

Metadata metric types

Metadata metric	What it measures	Supported datasources
Column activity	Columns added, altered (data type change), or dropped.	All
Update Delay	Time since the last data write.	BigQuery, Databricks, Incorta, MS-SQL, Redshift, Snowflake
Byte Count	The total number of bytes.	Databricks
Row Count	The total number of rows.	BigQuery, Incorta, MS-SQL, Oracle, Postgres, Redshift, Snowflake

Enable metadata metrics on the Metadata Metrics tab

Select a table in the Explorer tree.
In the main window, on the Metadata Metrics tab select Enable metadata metrics.

Enable metadata metrics when you add a schema

When you add a schema to the Explorer tree, you can use the Manage tables pane to selectively enable metadata metrics inside the schema.

Select the schema in the Explorer tree.
On the Actions menu, select Manage Tables.
In the Manage tables pane, use the checkbox on the left to select the tables you want, then slide the Metadata toggle to the right on any selected table.

Enable all metadata metrics inside a datasource or schema

Select the datasource or schema in the Explorer tree.
In the main window, if any metadata metrics aren't enabled, select Enable all to enable them.

Note that if all metadata metrics are enabled, Enable all becomes Disable all.