Based on metadata
Learn more about metadata-based dataset monitors.
These monitors are derived directly from the data platform’s system metadata, without scanning row-level values. They surface structural signals, such as:
Last modification time: when the dataset was last updated
Schema changes: any alterations to the schema
Total row count: the overall number of records in the dataset
Total row count change: the delta in row count compared to the previous observation
Because they read only metadata, these monitors are extremely lightweight to compute and ideal for continuous, real-time dashboarding of dataset activity.
Metric Monitoring on table views
Depending on your data source(s), metadata-based Metric Monitors may only be supported on Tables, and not on other data objects e.g. Views.
Alternatives could be to setup these metadata-based Metric Monitors on the source Tables of your non-Table data objects, and/or store these data objects as Tables instead.
Metric Monitoring on table views is currently available on:
BigQuery
Databricks
Postgres
Redshift
Snowflake
Metric Monitors on table views do not use metadata; metadata is not provided for views.
All monitors are supported except Last modification time.
Last modification time must be turned off manually; Soda will attempt to enable it automatically as there is no structural difference between tables and table views.
You are not logged in to Soda and are viewing the default public documentation. Learn more about Documentation access & licensing.
Last updated
Was this helpful?