What’s New in 7.4
Release Overview
Release Date: 31st Aug 2025
Release Type: Major Release (Governance + Integrations + Streaming Support)
Upgrade Notes: ADO integration requires linking scenarios to Test Plans; Kafka setup may need infra validation
Summary
Governance Upgrade: Versioning added for Query Chains to track, compare, and roll back changes.
QA Automation: Enhanced Azure DevOps (ADO) integration with automated updates to Test Plans.
Streaming Data Support: Kafka added as a supported data source for validations and reconciliations.
Richer Notifications: Exception % and Threshold % now included in job completion emails.
Trino JDBC Connector: Provides a way to query Apache Iceberg tables directly from Trino.
Governance & Versioning
Versioning for Query Chains
Query Chains now support full versioning.
Track all changes over time
Compare different versions
Roll back to previous versions if needed
Why it matters: Strengthens governance and makes Query Chain evolution fully auditable.
QA Workflow Automation
Enhanced Azure DevOps (ADO) Integration
Manual updates in ADO Test Plans are now automated:
Test execution outcomes updated in ADO based on DataTrust scenario results.
“Automation Status” field updated automatically when a test case is linked to a DataTrust scenario.
Why it matters: Closes the gap between DataTrust and ADO, ensuring test plans always reflect the latest results.
Streaming Data Support
Kafka as a Source
DataTrust now supports Apache Kafka as a source.
Validate and reconcile streaming data in real-time
Compare streaming data against batch systems
Why it matters: Enables early detection of bad data in real-time pipelines before it reaches downstream systems.
Notifications & Reporting
Email Body Enhancements: Exception % and Threshold %
Job completion emails now include:
Exception Percentage (%): % of records that failed validation or reconciliation
Threshold Percentage (%): Maximum allowed exceptions per business rule
Why it matters: Lets users know instantly if a job passed or failed directly from the notification, without logging in.
Trino JDBC Connector
Provides a way to query Apache Iceberg tables directly from Trino.
Supports multiple Catalog backends: Hive Meta store, AWS Glue, Rest catalog
Works with data stored in S3, GCS, AWS Blob, HDFS.
Why it matters: Customers storing enterprise data in Iceberg tables (on S3, ADLS, or HDFS) can now query ore reconcile it directly in DataTrust using Trino seamlessly.
Business Impact Snapshot
| Feature | User Impact | Business Benefit |
|---|---|---|
| Query Chain Versioning | Track, compare, roll back QCs | Governance + audit readiness |
| ADO Integration Upgrade | Auto-update test results & status in ADO | Streamlined QA workflows, less manual work |
| Kafka as Source | Stream validation & reconciliation | Early error detection in real-time data |
| Email % Enhancements | Exception/threshold in job emails | Faster decisions, no login required |
| Trino JDBC connector | Able to query data stored in Iceberg tables | Support for modern lakehouse table formats |