What's new

Metadata enrichment with ServiceNow Otto

Accelerate catalog curation using AI-powered enrichment. Enrich asset names and descriptions across multiple assets in a single request, review AI-generated recommendations, and publish richer metadata to your catalog with less manual effort.

Lineage search facet and CSV export

A new "Has lineage" search facet shows how much of your catalog has lineage and which assets have a lineage view in Graph Explorer. Download your current lineage view to CSV to analyze and use the data in other tools.

Automatically collect and synchronize metadata from Microsoft Fabric using metadata collectors.

MID Server routing for metadata collectors

Choose whether a connection runs in the ServiceNow hosted cloud infrastructure (the default) or through a MID Server to reach your data sources. When a collector is configured to run on a MID Server, three routing models control how the system assigns a MID Server to the collection job.

Email notifications for collector runs

When a collector run completes or fails, the platform sends an email notification to the collector owner and any subscribers. Notifications use the ServiceNow Notification framework.

Data classification with Vault

Enable a metadata collector to classify harvested columns using ServiceNow Vault. The following metadata collector types support Vault classification:

• Snowflake
• Amazon Redshift
• Databricks
• Oracle
• PostgreSQL
• Teradata
• MySQL
• Microsoft SQL Server
• SAP HANA

What's new

Bulk import and export glossary terms

Quickly manage large volumes of glossary terms by importing and exporting them in bulk through XLSX files. Preview changes before committing, and get detailed feedback on any rows that fail so you can correct and re-upload. Skip manual entry and reduce glossary enrichment time significantly.

Rich text editing and image embedding in data assets

Document your data assets with rich text formatting and embedded images. Edit with bold, italics, lists, and links, then embed images directly into catalog fields and resize them as needed.

Cloud collectors for metadata collection

Collect metadata from your data sources without hosting and maintaining a MID Server.

SAP HANA metadata collector

Automatically collect and synchronize metadata from SAP HANA using metadata collectors.

Salesforce metadata collector

Automatically collect and synchronize metadata from Salesforce using metadata collectors.

What's new

Search and discovery

Find data assets across your organization using keyword search, filters, and faceted browsing in a unified self-service interface. Browse assets by type, domain, tag, or owner, and preview schema and sample data directly from search results to evaluate assets without opening each record.

Asset details and relationships

View comprehensive details for each data asset including schema, field descriptions, ownership, data classifications, and data relationships, including lineage.

Business glossary

Define and manage business terms and associate them with data assets to establish a shared vocabulary across teams. Link glossary terms to catalog assets so that business and technical users understand the meaning and context of data using consistent, organization-approved definitions.

Metadata collectors

Automatically collect and synchronize metadata from external data platforms using metadata collectors. Collectors support 14+ platforms including Snowflake, BigQuery, Databricks, dbt Cloud, Tableau, Power BI, and Fivetran. Schedule collection runs or trigger them on demand to keep catalog content current as source systems evolve.

Tags and domains

Organize and classify data assets using tags and domains to reflect your organization's structure and governance policies. Apply tags to individual assets or in bulk. Group assets into domains to control visibility and delegate stewardship to responsible teams.

Automatically collect and synchronize metadata from Amazon S3 using metadata collectors.

Automatically collect and synchronize metadata from Teradata using metadata collectors.

Data quality for data assets

Review data quality information for table and column assets directly in the Data Catalog. The Overview tab surfaces a quality summary — overall status, rule count, passed rules, and last evaluation time — and the new Quality tab lists each rule with its source, asset type, category, status, and last run time. External data quality tools submit rule results through the Data Quality API.

Classifier field for columns

View column-level classification directly from a data asset's Columns tab. The new Classifier field shows the classification assigned to each column by the ServiceNow collector, or displays null if classification hasn't run on the table. Access to this feature depends on your entitlements.

Email notifications for owner and steward assignments for data assets

When you add or remove an owner or steward on a data asset, the system sends an email notification to that user.

Clone metadata collector connections

Clone an existing metadata collector connection to create data source connection faster. When you clone a connection, the system copies the connection type, collection settings, filters, and advanced parameters to a new connection record with an auto-generated name. Sensitive information is not carried over. Update credentials and any other environment-specific details before activating the new connection.

Data quality for data assets

Review data quality information for table and column assets, including the overall data quality status, the total number of rules, the number of passed rules, and any quality badges awarded to the resource. View each rule with its source, asset type, asset name, category, status, and last run time, and filter or search to locate a specific rule. External data quality tools submit rule results through the Data Quality API.

Azure Data Factory metadata collector

Automatically collect and synchronize metadata from Azure Data Factory using metadata collectors.