Combined Data Management release notes for upgrades from Vancouver to Yokohama

Consolidated page of all release notes for Data Management from Vancouver to Yokohama.

How to use this page

To help you prepare for your upgrade, we have combined the cross-family Data Management release notes onto one page. Read this summary of the new features, changes, and updated information for your product from Vancouver to Yokohama.

Tip:

If there were no updates for a release notes section in a certain family release, we included a short note for your reference. For example, if a product did not have any updates in Tokyo, the row says "No updates for this release."

Important information for upgrading Data Management to Yokohama

Before you upgrade to Yokohama, review these pre- and post-upgrade tasks and complete the tasks as needed.

Release	Release notes
Vancouver	No updates for this release.
Washington DC	No updates for this release.
Xanadu	A data management policy record is automatically created for each table that is configured with an archive rule or a table cleaner rule prior to the upgrade.
Yokohama	After upgrading a self-hosted instance to Yokohama, the sys_physical_table_stats table doesn't display the latest data for table size, with the sample_period_start column showing dates prior to the upgrade. To see the correct table size, you can set the com.glide.stats.storage_disk_usage.information_schema system property to true, which allows the statsGatherer job to use the information schema to generate the required database statistics. A data management policy record is automatically created for each table that is configured with an archive rule or a table cleaner rule prior to the upgrade.

New features

Between your current release family and Yokohama, new features were introduced for Data Management.

Release	Release notes
Vancouver	No updates for this release.
Washington DC	No updates for this release.
Xanadu	Data Management policies Access a holistic view of the data management rules that you configured for a table. Support for multiple archive rules on one table Create multiple archive rules for a single table using a data management policy. Table cleaner performance improvements Automatically delete older records more efficiently using the table cleaner. Data Management usage dashboard View a summary of storage consumption on your instance and monitor the top 10 tables consuming the most data on your instance.
Yokohama	Data Management Console View a summary of storage consumption on your instance and manage the growth of data directly from the Data Management Console. Table cleaner scalability improvements Automatically delete older or unwanted records at scale.

Changes

Between your current release family and Yokohama, some changes were made to existing Data Management features.

Release	Release notes
Vancouver	No updates for this release.
Washington DC	No updates for this release.
Xanadu	No updates for this release.
Yokohama	Data Management Console You can now access data usage on your instance by navigating to All > System Data Management > Data Management Console.

Removed

Between your current release family and Yokohama, some Data Management features or functionality were removed.

Release	Release notes
Vancouver	No updates for this release.
Washington DC	No updates for this release.
Xanadu	No updates for this release.
Yokohama	No updates for this release.

Deprecations

Between your current release family and Yokohama, some Data Management features or functionality were deprecated.

Release	Release notes
Vancouver	No updates for this release.
Washington DC	No updates for this release.
Xanadu	No updates for this release.
Yokohama	No updates for this release.

Activation information

Review information on how to activate Data Management.

Release	Release notes
Vancouver	No updates for this release.
Washington DC	No updates for this release.
Xanadu	Data Management is a ServiceNow AI Platform feature that is active by default.
Yokohama	Data Management is a ServiceNow AI Platform feature that is active by default.

Additional requirements

If any additional requirements were introduced or changed for Data Management we have noted them here.

Release	Release notes
Vancouver	No updates for this release.
Washington DC	No updates for this release.
Xanadu	No updates for this release.
Yokohama	No updates for this release.

Browser requirements

If any specific browser requirements were introduced or changed for Data Management we have noted them here.

Release	Release notes
Vancouver	No updates for this release.
Washington DC	No updates for this release.
Xanadu	No updates for this release.
Yokohama	No updates for this release.

Accessibility information

Review details on accessibility information for Data Management, such as specific requirements or compliance levels.

Release	Release notes
Vancouver	No updates for this release.
Washington DC	No updates for this release.
Xanadu	No updates for this release.
Yokohama	No updates for this release.

Localization information

If there are specific localization considerations for Data Management we have noted them here.

Release	Release notes
Vancouver	No updates for this release.
Washington DC	No updates for this release.
Xanadu	No updates for this release.
Yokohama	No updates for this release.

Highlight information

If there are specific highlight considerations for Data Management we have noted them here.

Release	Release notes
Vancouver	No updates for this release.
Washington DC	No updates for this release.
Xanadu	Define and access all the data management rules for a table from the data management policy page. Create multiple archive rules for a table. Access and configure the destroy rules for deleting archived records from the data management policy page. Delete older records at scale with improved performance using the table cleaner. View a summary of storage consumption on your instance. See Data Management for more information.
Yokohama	View insights into storage consumption on your instance and implement data management policies directly from the Data Management Console. Automatically delete older or unwanted records with improved table cleaner scalability. See Data Management for more information.