Version 26.6.0

Date: 6th June 2026

• ServiceNow Data Catalog Integration: ADOC now supports integration with ServiceNow's Data Catalog, enabling Data Quality scores, quality badges, and check-run details to be pushed into ServiceNow using OAuth2 authentication. Scores synchronize each time a policy executes on a mapped asset. For more information, see ServiceNow.
• Iceberg REST Catalog — Secret Manager Support: The Iceberg REST Catalog data source now supports Secret Manager integration, allowing Password and Token credentials to be securely retrieved from a secret manager instead of being entered manually during data source configuration. For more information, see Iceberg.
• Data Products Enhancements: ADOC now introduces Documentation, Reviews, and Audit Log support for Data Products. Data Product Owners can author markdown documentation directly from the product detail page, consumers can submit star ratings and written reviews with the aggregate rating reflected in the Marketplace, and all Data Product activity is now captured in the centralized Audit Logs under Operations > Audit Logs. For more information, see Data Products.
• Data Plane Maintenance Mode Enhancements: Maintenance Mode for Data Plane V3 now extends pause enforcement to cover additional execution types, including auto-profiling and delayed reconciliation jobs, and correctly handles policies that are created or re-enabled while a Data Plane is paused. REST APIs for pause, resume, and status polling are now available, and the Data Plane list response now includes isPaused, pausedAt, and pausedBy fields to support programmatic pause state monitoring. For more information, see Data Plane Management.
• Selective Crawling Enhancement: ADOC now supports regex-based include and exclude metadata filters during data source crawling for Oracle, Databricks, MS SQL, Redshift, Snowflake, Trino, and SAP HANA. Filters operate on fully qualified asset names in the format DATABASE.SCHEMA.TABLE_NAME, with exclude filters applied first and include filters applied to the remaining assets. For more information, see Crawl Data Sources.
• Bulk Monitoring Policy Enhancements: ADOC now supports per-pipeline threshold configuration and scheduled summary notifications in Bulk Monitoring Policies. You can define distinct conditions and severity levels for individual pipelines within a policy, and choose between instant alerts, a scheduled summary, or both. For more information, see Bulk Monitoring Policy.
• Relative Threshold Policy Enhancements: Relative threshold policies for Row Checks, Metric Checks, and SQL Metric Checks now support configurable comparison operators (>, >=, <, <=, =, !=) and absolute row-count thresholds in addition to existing percentage-based thresholds. Policies can now validate directional expectations — such as requiring a row count to increase by at least one row or a minimum percentage — rather than being limited to tolerance-boundary checks. Existing relative threshold configurations are unaffected and require no migration.
• Policy Deletion Enhancements: ADOC now supports policy deletion for all policy types, including Schema Drift, Data Freshness, Data Drift, and Profile Anomaly, extending deletion support that was previously limited to Data Quality and Reconciliation policies. The Manage Policies page also introduces bulk deletion, allowing multiple policies to be selected and deleted in a single operation with a confirmation step. For more information, see Manage Policies.
• Policy Schedule Management API: A new dedicated API (PUT /catalog-server/api/rules/:ruleId/schedule) is now available to enable or disable policy schedules without submitting a full policy payload. The request accepts scheduled, cronExpression, and timeZone fields only, and each successful update increments the policy version. This API is supported for Data Quality, Reconciliation, Data Freshness, and Auto Anomaly policies. Calling this API for Data Drift, Schema Drift, or Profile Anomaly policies returns 501 Not Implemented. For more information, see Policy Schedule Management.
• Pipeline Details UX Revamp: The Pipeline Details page has been redesigned with a top-level tab structure — Pipeline, Monitors, Automation, and Settings — replacing the previous fragmented navigation. Side drawers have been replaced with contextual right-side panels, and the Event Timeline, Event Details view, and Alerts panel have been updated with richer execution metadata. For more information, see Pipeline Run Details.
• Data Reliability Support for Excel Files in S3: Monitoring and validation capabilities now extend to Microsoft Excel (.xls and .xlsx) files stored in S3 buckets. Each worksheet is treated as an independent asset with sheet-level policy application, expanding Data Reliability coverage to spreadsheet-based datasets used in business reporting and operational workflows.
• Enhanced Policy Notifications: Policy notifications for Data Quality, Schema Drift, and Data Freshness policies now include rule-level details such as rule type, target column, thresholds, scores, and pass/fail counts. A new re-notification mode, On Rule Status Change, sends notifications only when new failures occur or severity escalates, preventing repeated alerts for unchanged failures.
• Policies and Jobs UI Enhancements: The Policies and Jobs pages now include additional metadata columns — Created By, Last Updated By, Executed By, and Incremental Strategy — along with enhanced date range filters to support historical execution analysis and ownership traceability.

• Resolved an issue where the Event List in the Pipeline UI had readability issues.
• Resolved an issue where rules metadata was not migrated when using the Export & Import Manager.
• Resolved an issue where BigQuery Data Quality, Reconciliation, and SQL view creation failed when using a centralized service account due to incorrect dataset project resolution.
• Resolved an issue where asset names appeared more than once in the Top Performing Assets by Quality widget.
• Resolved an issue where logging was not functioning as expected for Spark driver and executor pods, and the DEBUG log level was not honored for the analysis standalone service.
• Resolved an issue where the policy executions widget on Dashboards caused performance degradation.
• Resolved an issue where automatic rule name generation produced duplicate or conflicting rule names.
• Resolved an issue where profiling post-processing failed for assets containing ROW or STRUCT datatype columns, resulting in a 500 error in the UI.
• Resolved an issue where the Asset Overview page displayed inconsistent time zones.
• Resolved an issue where pipeline data stopped displaying in the ADOC UI after a specific point in time.
• Resolved an issue where child pipeline links were missing in the SnapLogic Pipeline view.
• Resolved an issue where Reconciliation policies failed to execute from the ADOC UI following a Data Plane upgrade, while execution via SDK succeeded.
• Resolved an issue where additional days could not be added to a monthly policy schedule when the 1st of the month was already selected.
• Resolved an issue where the failed row count and bad records count showed a mismatch in Data Quality rule execution results.
• Resolved an issue where clicking a policy in the Policies tab of Data Reliability Reports redirected to a Page Not Found error.
• Resolved an issue where connections to Iceberg data sources failed on Data Plane V3.
• Resolved an issue that caused UI performance degradation on the Pipelines page in large environments.
• Resolved an issue where Data Freshness policy executions failed with Snowflake key-pair authentication due to key file parsing errors.
• Resolved an issue where filtering policies by Overall Status = Running on the Manage Policies page returned incorrect results.
• Resolved an issue where a NullPointerException occurred in the Kafka visual view during reconciliation.
• Resolved an issue where EKS Pod Identity stopped working for AWS data sources.
• Resolved an issue where incremental profiling on Amazon S3 did not function correctly when using SQS.
• Resolved an issue where Databricks data sources were not visible on the Integrations page when the data plane filter was applied.
• Resolved an issue where the time frame filter option was missing from the Audit Logs page.
• Resolved an issue where incorrect messages were displayed for success and failure criteria when creating a Data Reliability policy in the ADOC UI.
• Resolved an issue where Pipeline Run History stopped loading after approximately 230 entries for pipelines with a large number of runs.
• Resolved an issue where the Not Null percentage exceeded 100% for expanded nested fields in profiling results.
• Resolved an issue where Reconciliation policies using custom SQL with derived columns were incorrectly moved to an Archived state after a data source recrawl.
• Resolved an issue where the Pipeline Status pie chart filter did not apply consistently.
• Resolved an issue where selective migration did not function correctly when multiple policies were selected by name.
• Resolved an issue where Kafka data sources with more than 1,000 topics became unresponsive after the test connection step.
• Resolved an issue where certain users could not view Reconciliation policies under Data Products > Policies.
• Resolved an issue where pipeline run data was not reflected in the ADOC UI.
• Resolved an issue where Reconciliation policies using custom SQL with derived columns were incorrectly moved to an Archived state after a data source recrawl.
• Resolved an issue where Row Count Reconciliation used SELECT * instead of COUNT(*) for Iceberg data sources, producing incorrect results.
• Resolved an issue where Oracle Autonomous Database wallet files were downloaded as zero-byte files in the analysis standalone pod, causing TNS resolution failures.
• Resolved an issue where an unexpected error occurred when filtering Azure Data Factory pipelines in the ADOC UI.