Data Governance in Snowflake

Snowflake provides industry-leading features that ensure the highest levels of governance for your account and users, as well as all the data you store and access in Snowflake.

Column-level Security

Allows the application of a masking policy to a column within a table or view.

Row-level Security

Allows the application of a row access policy to a table or view to determine which rows are visible in the query result.

Object Tagging

Allows the tracking of sensitive data for compliance, discovery, protection, and resource usage.

Tag-based masking policies

Allows protecting column data by assigning a masking policy to a tag and then setting the tag on a database object or the Snowflake account.

Data Classification

Allows categorizing potentially personal and/or sensitive data to support compliance and privacy regulations.

Access History

Allows the auditing of the user access history through the Account Usage ACCESS_HISTORY View.

Object Dependencies

Allows the auditing of how one object references another object by its metadata (e.g. creating a view depends on a table name and column names) through the Account Usage OBJECT_DEPENDENCIES view.

Data Governance area in Snowsight

Allows using the Monitoring » Governance area to monitor and report on the usage of policies and tags with tables, views, and columns using two different interfaces: Dashboard and Tagged Objects. For details, see: