2026

Release Notes

2026.2.21

Feature Enhancements

• Introduced support for Complex Datatypes for DFS.

  • Profiling and quality checks now support Array and Struct field types, expanding coverage to nested and multi-valued data structures.
  • Array fields are profiled with element-level context, allowing quality checks to validate each element individually using supported rule types such as Expected Values, Matches Pattern, and Min/Max Length.
  • Struct fields are automatically flattened into individual scalar columns during profiling, enabling full data quality rule inference and monitoring on nested data.
  • Flattening supports recursive traversal up to a configurable depth, with path-based naming conventions for generated columns.
  • Quality check rule selection adapts to complex field types, showing applicable rules based on whether the check targets the array or its individual elements.
  • Field tree views and profile pages display nested field hierarchies with updated iconography for clear identification of complex field types.
  • Source record tables and container previews display raw complex values, allowing users to inspect nested and array data directly during anomaly investigation.

• Introduced MCP-powered AI assistant with built-in chat interface and Bring Your Own Key LLM support.

  • Added an interactive chat interface directly in the platform, enabling users to perform data quality tasks through natural language conversations with AI-powered assistance.
  • Users can configure their preferred LLM provider and API key under Settings, with support for OpenAI, Anthropic, Google, AWS Bedrock, Cohere, Groq, Mistral, and Hugging Face models.
  • The assistant leverages MCP tools to explore datastores, validate queries, create computed assets, manage quality checks, investigate anomalies, and analyze quality scores within a guided workflow.
  • Chat responses include real-time tool step progress indicators, displaying each action the assistant performs with expandable input and output details.
  • Suggested prompts guide users toward common workflows such as building computed tables, creating quality checks, and analyzing data quality trends.

• Introduced version history for containers.

  • Users can now view a timeline of changes made to any container directly from the container overview page, displaying the editor and timestamp for each modification.
  • Computed tables include a side-by-side diff visualization of query changes, making it easy to compare before and after states for troubleshooting.

• Added n8n workflow integration as a flow action.

  • Users can configure n8n webhook URLs and secrets directly on each flow action, enabling automated workflows triggered by flow executions.
  • Supports operation-completed, anomaly, and anomaly status change triggers, sending full context payloads to n8n for downstream automation.

• Added Service Principal authentication support for SQL Server datastores.

  • Enables Azure Active Directory OAuth-based connections using tenant ID, client ID, and client secret or certificate credentials as an alternative to username and password authentication.

General Fixes and Improvements

• Fixed missing loading indicators on the Explore fields list and Activity page tabs.

• Corrected container creation returning a generic server error instead of a proper conflict response when a container with the same name already existed in the datastore.

• Resolved incremental ID timezone parsing issue that applied local timezone instead of UTC, causing inaccurate freshness metrics when incremental filtering was enabled.

• Corrected data catalog sync summary to only count assets that were successfully synced, preventing misleading totals when individual asset syncs failed.

• Fixed quality check API updates not persisting referenced fields when expressions were modified, ensuring field associations stay consistent with the check expression.

• Resolved deep link URLs being lost during SSO authentication, ensuring users are redirected to the intended resource after login.

• Enhanced ticket creation through flows to use the anomaly description as the ticket description, providing richer context for ServiceNow and Jira incidents.

• Improved Insights data reliability with a force refresh option, allowing users to manually trigger on-demand data updates for the latest quality metrics.

• Enhanced Observability tooltips with a day-over-day change indicator, displaying row count differences from the previous day for faster trend analysis.

• General Fixes and Improvements.

2026.2.13

Feature Enhancements

• Introduced Microsoft Fabric JDBC connector.

  • Added read-only connectivity to Microsoft Fabric's SQL Analytics Endpoint, enabling users to profile and monitor data quality on Fabric datasets.
  • Authentication is handled via Azure Active Directory Service Principal, with credentials securely managed through connection properties.

• Added Service Principal authentication support for ABFS datastores, allowing Azure Active Directory OAuth-based connections as an alternative to Shared Key authentication.

General Fixes and Improvements

• Fixed missing label text color in the bulk action menu on the Flows page when using dark theme.

• Corrected low-contrast tooltip icon on the check assertion timeline that was difficult to see in both light and dark modes.

• Optimized data catalog integration sync performance by replacing verbose per-asset logging with concise per-datastore summaries, reducing storage overhead in environments with large asset catalogs.

• General Fixes and Improvements.

2026.2.7

Feature Enhancements

• Introduced license management interface under Settings.

  • Administrators can now view the current license expiration date directly from the Settings Status page, with visual warnings when the license is nearing expiration.
  • Added the ability to generate a license request payload to send to a Qualytics account representative for license renewal.
  • Users can apply a new license directly through the interface, streamlining the license assignment process.

• Added bulk actions and validation improvements for flow executions.

  • Users can now select and abort multiple flow executions at once, eliminating the need to handle stuck executions one by one.
  • Introduced bulk delete for flow executions to streamline cleanup of completed or failed runs.
  • Added filter option for aborted status in the flow executions list for easier tracking.
  • Flows without actions are now validated and blocked from publishing to prevent incomplete workflow configurations.

• Added support for custom anomaly messages from source record fields.

  • Quality checks can now use a field value from the source record as the anomaly message, replacing the auto-generated violation text with business-specific context.
  • Custom anomaly message field can be configured in both individual check forms and bulk check creation workflows.
  • A field selector is available when container fields are loaded, with a manual text input fallback for flexible configuration.

• Added rule type filter to the Observability listing.

  • Users can now filter containers by observability rule type, choosing between Volumetric and Freshness checks for more focused monitoring.
  • Filter availability adapts to the current context, displaying relevant filter options across Explore, Datastore, and Container views.
  • Improved column alignment and heatmap display across different screen sizes for better readability.

General Fixes and Improvements

• Corrected auto-generated descriptions for multi-field Unique and Not Null checks to reference all selected fields instead of only the first one.

• Fixed anomalous field filter in the failed checks section where checkbox selections were not filtering results and layout elements were overlapping.

• Corrected tooltip icon contrast in the check assertion timeline that was not visible against the tooltip background in both light and dark modes.

• Fixed incorrect breadcrumb navigation when viewing checks that no longer reference the original field after field association changes.

• Improved platform reliability by automatically recovering flow executions and data catalog syncs that became stuck after environment restarts.

• Centralized internal field association logic to improve consistency and reliability across anomaly counts, filtering, and data catalog synchronization.

• General Fixes and Improvements.

2026.1.29

Feature Enhancements

• Introduced Anomaly Status Changed flow trigger.

  • Flows can now be triggered when anomaly statuses change, enabling automated workflows for status transitions.
  • Trigger settings support filtering by specific status values to target relevant transitions.

• Added notification support for Create Ticket and Update Ticket Status flow actions.

  • Introduced Create Ticket action to automatically generate tickets in connected ticketing systems when anomalies meet defined conditions.
  • Introduced Update Ticket Status action to synchronize status changes to linked tickets across integrated platforms.
  • Notifications can be sent to Slack and Microsoft Teams when ticketing actions execute.
  • Introduced status selection at ticket creation, allowing tickets to be created with a specific initial state.
  • Ticketing actions are validated to ensure compatibility with Anomaly or Anomaly Status Change triggers.
  • Improved handling when required ticketing integrations are unavailable during flow execution.

• Enhanced auto-generated check descriptions with context-aware, business-friendly language.

  • Descriptions now include field type context such as "numeric field", "timestamp field", or "text field" for clearer rule interpretation.
  • Expected values are summarized directly in descriptions, displaying the first three values with a total count indicator.
  • Filter clauses are translated into plain English for improved readability.
  • Range checks now specify inclusivity labels to clarify boundary behavior.
  • Common regex patterns are described in human-readable terms instead of raw expressions.
  • Cross-datastore rules include reference field and container context for better traceability.
  • Distinct count checks generate comparator-aware descriptions using phrases like "fewer than", "at most", "exactly", "at least", and "more than" based on the configured operator.

• Improved computed asset management with inline editing from check interfaces and field dependency protection.

  • Users can create, edit, and manage computed tables, files, joins, and fields directly from the check interface without navigating to datastore pages.
  • Added a warning dialog when computed asset updates would remove fields with active checks or anomalies, with options to cancel or proceed.
  • Introduced "E" keyboard shortcut to quickly edit computed containers from any context.
  • Enhanced command palette shortcuts to preselect the current container in profile and scan dialogs.

General Fixes and Improvements

• Improved error messages for network connectivity issues to provide clearer guidance when the API server is unreachable.

• Enhanced asserted check editing to support field modifications while preserving accurate quality score calculations.

• Improved anomaly descriptions with editable fields, version tracking, and enriched human-readable messaging.

• Enhanced tenant observability with build version information.

• Fixed tags and rule types not appearing in filter lists by aligning filter option counts with the current view perspective.

• Corrected distinct count anomaly messages that displayed negative values and incorrect expected values.

• Resolved Collibra integration authentication failures caused by OAuth token expiration with automatic token refresh.

• General Fixes and Improvements.

2026.1.14

Feature Enhancements

• Introduced the new Qualytics visual identity
  • Refreshed brand experience featuring a modern color palette, updated logo, and refined typography that reflects the platform’s evolution.
  • Redesigned Insights dashboard with enhanced quality score cards, vibrant chart gradients, and improved dimension visualizations for clearer data storytelling.
  • Modernized card layouts across datastores, containers, checks, anomalies, and templates with improved visual hierarchy and interaction states.
  • Streamlined iconography with consistent outline styling and neutral tones for a cleaner, more focused interface.
  • Enhanced chart styling with cyan monochromatic palettes, smooth gradients, and rounded segments across key visualizations such as data volume, observability metrics, heatmaps, and others.
  • Improved accessibility with better contrast ratios, theme-aware color utilities, and consistent styling across light and dark modes.
  • Refined sign-in experience with updated visual styling aligned to the new brand direction.

General Fixes

• Optimized container preview performance.

• Standardized enrichment datastore settings labels to ensure consistency with the scan operation options.

• Enhanced operation timeout behavior to ensure meaningful error responses for long-running sync operations.

• Fixed scan schedule update errors that occurred when anomaly reactivation settings were not explicitly configured.

• Resolved intermittent server errors affecting the Flows list page when scheduled information was present.

• Corrected server errors when publishing flows while action rearrangement was in progress.

• Resolved field exclusion behavior to properly skip problematic columns during initial data loading in SQL Server datastores.

• General Fixes and Improvements.