What's New > October 2026 > New features and enhancements
  

New features and enhancements

The October 2026 release of Metadata Command Center includes the following new features and enhancements.

Feature highlights

Click the following tiles to read about the highlights of this release:
New catalog sources Extract metadata with 11 new catalog sources.
Semantic layer support Extract semantic layer metadata from Salesforce D360, Databricks, and Snowflake.
Workflow enhancements Route workflows dynamically. Approve lifecycle changes and periodic reviews.
Document sensitivity rules Define rules that assign sensitivity levels to Document assets.
Sensitivity-based access Grant or restrict access to assets based on their sensitivity.

New catalog sources

This release includes the following new catalog sources:
For more information about catalog sources, see the corresponding catalog source help.

Enhanced catalog sources

This release includes the following enhancements to catalog sources:
Amazon S3
You can use the IAM Roles Anywhere authentication type to connect to Amazon S3 source systems.
For more information, see Amazon S3.
Databricks
This release includes the following enhancements:
For more information, see Databricks.
dbt
This release includes the following enhancements:
For more information, see dbt.
Denodo
After you run a catalog source job, you can view lineage for views that use full outer joins.
For more information, see Denodo.
Google Gemini Enterprise Agent Platform
This release includes the following enhancements:
For more information, see Google Gemini Enterprise Agent Platform.
Informatica Intelligent Cloud Services
This release includes the following enhancements:
For more information, see Informatica Intelligent Cloud Services.
JDBC
This release includes the following enhancements:
For more information, see JDBC.
Kafka
You can now extract metadata from JSON Schema and Protocol Buffers messages when Schema Registry is enabled.
For more information, see Kafka.
Microsoft Fabric Data Lakehouse
You can generate accurate reference assets from Microsoft Fabric Data Lakehouse source systems to files in Microsoft Fabric OneLake source systems.
For more information, see Microsoft Fabric Data Lakehouse.
Microsoft Power BI
Metadata extraction jobs now extract descriptions of data set tables as technical descriptions in Data Governance and Catalog.
For more information, see Microsoft PowerBI.
Qlik Sense Cloud
You can now extract metadata from Variable and Variables object types.
For more information, see Qlik Sense Cloud.
Salesforce
This release includes the following enhancements:
For more information, see Salesforce.
Salesforce Marketing Cloud
This release includes the following enhancements:
For information, see Salesforce Marketing Cloud.
SAP Business Warehouse (BW)
This release includes the following enhancements:
For information, see SAP BW.
SAP Datasphere
This release includes the following enhancements:
For information, see SAP Datasphere.
SAP BW/4HANA
You can run data profiling and data quality jobs on the following objects extracted from the SAP BW/4HANA source system:
For information, see SAP BW/4HANA.
SAP HANA Database
This release includes the following enhancements:
For more information, see SAP HANA Database.
SAP S/4HANA Cloud
You can now extract metadata from an SAP S/4HANA Cloud source system that uses a proxy server-based connection.
For more information, see SAP S/4HANA Cloud.
SAP Sales & Service Cloud
You can now extract metadata from an SAP Sales & Service Cloud source system that uses a proxy server-based connection.
For more information, see SAP Sales & Service Cloud.
Snowflake
This release includes the following enhancements:
For more information, see Snowflake.
Tableau
This release includes the following enhancements:
For more information, see Tableau.

Configure additional data capabilities

You can configure Data observability on the IBM DB2 LUW catalog sources.
For more information about catalog sources, see the corresponding catalog source help.

Profiling enhancements

This release includes the following profiling enhancements:
Amazon Redshift
You can enter a custom SQL query to select sample rows to run data profiling and data quality jobs using the Custom Query sampling type.
For more information, see Amazon Redshift.
SAP HANA Database
You can run data profiling and data quality jobs on SQL Script calculation views.
For more information, see SAP HANA Database.

Workflow enhancements

This release includes the following workflow enhancements:
Service task to retrieve asset details in a workflow
You can add a service task to route a workflow dynamically, based on asset groups and the custom attribute values of the asset the workflow runs on. You can use these values in expressions that define the gateway conditions.
Using the asset details available in the gateway conditions, you can configure an inclusive gateway that directs the workflow based on the asset metadata. For example, you can route the workflow along a different path for an asset that belongs to a specific asset group.
Inclusive gateway
You can add an inclusive gateway to a workflow to route the flow along one or more outgoing paths based on conditions. The inclusive gateway evaluates the condition on each outgoing path independently, and the workflow follows every path whose condition is true. If no condition is true, the workflow follows a default path. An inclusive gateway activates one or more paths based on conditions.
Periodic review of assets (Preview)
You can set up a periodic review of assets while configuring workflow events in Metadata Command Center to certify business and data access assets on a schedule. Periodic review helps you keep assets accurate, up to date, and audit ready. You can configure a workflow event that reviews the assets that meet a condition, such as glossaries in a specific domain. When the schedule runs, the event automatically creates a review ticket for each qualifying business asset and data access asset.
Data Governance and Catalog creates review tickets automatically for the qualifying assets based on the schedule. The stakeholders defined in the workflow can review the asset, set its lifecycle to complete the review, and close the ticket. Each asset shows the last review date and the next review date. You can also search and browse assets by the last review date and the next review date.
Approval workflows for asset lifecycle changes
You can configure a workflow that runs when the lifecycle of an asset changes. Under the asset management event category, a new event type, Approval Request for Lifecycle Change, triggers a workflow when an asset's lifecycle state changes. The workflow runs when an asset moves from the Published state to the Obsolete state, or from the Obsolete state to the Published state. When you configure a workflow for this event type, you can select only the Obsolete or Published state.
For more information, see Workflows.

Rule-based sensitivity for Document assets

You can now define rules that assign a sensitivity level to Document assets. A Document asset represents an unstructured file, such as a PDF or Microsoft Word document, in the catalog. You can apply sensitivity levels to these assets based on the classification policies that you define.
For more information, see Rule-based sensitivity for document assets.

Access control based on data classification sensitivity

When you create or modify an access policy in Metadata Command Center, you can add a sensitivity level as a predicate to a condition. The new predicate allows you to control access to assets based on the sensitivity level of their data classifications.
For more information, see Metadata access control.

Enrichment propagation based on lineage

You can configure catalog sources to propagate enrichments to related assets based on lineage.
Enable autonomous enrichment to propagate curation values such as classifications, descriptions, business names, and glossary associations across catalog source assets. Enable autonomous enrichment globally, and then configure each catalog source to control how it receives enrichments.
Propagation settings determine which enrichment types propagate, from how many lineage levels they propagate, and whether values are automatically accepted or recommended.
For information about autonomous enrichment, see Autonomous Enrichment and the corresponding catalog source help.

Global settings for generated descriptions

You can now configure global settings that shape the descriptions Data Governance and Catalog generates for your assets. Set the industry and text length that apply to all generated descriptions. You can override these settings in Data Governance and Catalog.
For information about configuring generated descriptions, see Autonomous Enrichment.

Incremental metadata extraction

You can now run incremental metadata extraction jobs on the following catalog sources:
A full metadata extraction extracts all objects from the source to the catalog. An incremental metadata extraction considers only the changed and new objects since the last successful catalog source job run. Incremental metadata extraction doesn’t remove deleted objects from the catalog and doesn’t extract metadata of code-based objects.
For more information about catalog sources, see the corresponding catalog source help.

LIKE operators in data classification rules and lookup tables

When you build data classification rules in Cloud Data Governance and Catalog, you can use the LIKE ALL, LIKE SOME, and LIKE ANY operators to match a value against multiple patterns in a single condition. You can also reference a lookup table column as the pattern source. Use LIKE (lkp.<table>.<column>), LIKE SOME (lkp.<table>.<column>), or LIKE ANY (lkp.<table>.<column>) to match against the values in a lookup column.
For more information, see Data classification and Lookup tables.

Metadata extraction from additional file types

You can now extract metadata from additional file formats across multiple catalog sources.
Newly Supported File Types:
Supported Catalog Sources:
For more information about catalog sources, see the corresponding catalog source help.

Classify Microsoft Word documents

You can now use Document Classification in Metadata Command Center to classify Microsoft Word documents with the DOC and DOCX extensions. You can classify Microsoft Word documents for the following catalog sources:
For more information about catalog sources, see the corresponding catalog source help.

Deleting lookup tables

You can delete a lookup table that is not used in any data classification rule.
For more information, see Lookup tables.

Use REST APIs to manage data classifications

You can use REST APIs to perform the following tasks on data classifications:
For information about the data classification APIs, see the Informatica Developer Portal.

REST API enhancements

You can use REST APIs to perform the following tasks on catalog source jobs:
For information about the job management APIs, see the Informatica Developer Portal.

Monitor Informatica Processing Unit (IPU) usage for catalog source jobs in Administrator

You can now monitor the catalog source job IPU usage in Administrator. IPU consumption details are available under Project CDGC and Folder Scanner.
For more information, see IPU Meters in the Organization Administration guide.

SAP transports

New SAP transports are available for SAP BW and SAP BW/4HANA catalog sources.
For more information about SAP transports, see HOW TO: Import the latest transports for SAP catalog sources in Metadata Command Center.

Use REST APIs to manage metadata access policies

You can use REST APIs to perform the following tasks on metadata access policies: