Qlik Release Notes

May 20, 2026

Updated experiment configuration panel

The Qlik Predict experiment setup experience is getting a usability overhaul. Updated layout moves from an accordion pattern to a dual-panel design, aligns with Qlik's updated design system, and improves labeling and discoverability throughout the configuration flow. Customers configuring experiments will find the experience faster, cleaner, and more intuitive.

Navigating the experiment interface

Not supported in Qlik Cloud Government.

Not supported in Qlik Cloud Government - DoD.

Some functionality may be rolled out in phases and not immediately available in all regions.

May 20, 2026

Run monitoring history

In this release, we're introducing run history monitoring to Qlik Talend Cloud Pipelines.

Run history is a dedicated panel that lets you browse past runs for any task type. Just filter by date range or status, and review execution details and outcomes. Thanks to run history, users can now review how a pipeline has been behaving over time, run by run.

Task monitoring now also comes with a cleaner, more intuitive interface that makes it easier to track task and dataset activity, performance, and status at a glance.

The new monitoring user interface is available for all regions starting today. Run history is not yet supported in the Europe (Frankfurt) region, but will be supported in this region starting June 2026.

Monitoring an individual data task

Some functionality may be rolled out in phases and not immediately available in all regions.

May 19, 2026

UI improvements : Qlik Answers May 2026

You can now expand the Qlik Answers chat panel to full screen. Click in the top-right corner of the chat window to enter full-screen mode. You can seamlessly switch between full-screen and standard view at any time. Source references and citations remain visible while in full-screen mode.

Improved scrolling in conversation history

Navigating long conversations is now smoother. The conversation history panel supports improved scrolling, allowing you to move forward and backward through previous exchanges with greater ease.

Some functionality may be rolled out in phases and not immediately available in all regions.

May 19, 2026

Databricks mirroring for Qlik Open Lakehouse

Qlik Open Lakehouse projects now support mirroring data to Databricks, expanding the data mirror feature to enable multi-platform analytics from a single project. In addition to existing targets such as Snowflake and Redshift, Databricks is now available as a mirror target, allowing one dataset to be queried from one or more cloud data warehouses.

With mirror tasks, Qlik enables multi-platform data pipelines without data duplication. You can query data stored in Iceberg tables in your lakehouse directly from Databricks, eliminating the need for additional storage while maintaining consistent, up-to-date data access.

This enhancement also supports a Medallion architecture approach:

Ingest raw data into an Iceberg-based Bronze layer in your lakehouse

Mirror the data to Databricks, enabling downstream transformations

Perform Silver and Gold layer transformations by creating a Databricks project with a transform task, using the Databricks mirror as the source

Mirroring data to a cloud data warehouse

Not supported in Qlik Cloud Government.

Not supported in Qlik Cloud Government - DoD.

Some functionality may be rolled out in phases and not immediately available in all regions.

May 18, 2026

Primary key helpers for SQL transformations

Qlik Talend Cloud Pipelines now includes primary key helpers for SQL transformations:

When creating a custom SQL transformation, you can:

• Use Generative AI to suggest keys.
• Not supported in Qlik Cloud Government.
• Not supported in Qlik Cloud Government - DoD.
• Validate keys, by checking that values are unique and non-null.
• Suggest and validate keys.

Adding SQL transformations

Some functionality may be rolled out in phases and not immediately available in all regions.

May 14, 2026

New Direct Access gateway version (1.7.14)

Direct Access gateway 1.7.14 introduces both new and enhanced features, and resolves several issues. For upgrade instructions and a list of resolved issues, see Upgrading the Direct Access gateway installation

This version introduces new and enhanced functionality as well as several bug fixes.

Improved troubleshooting through gateway configuration propagation

Gateway configurations are now propagated to Qlik Cloud to facilitate troubleshooting by Qlik Support.

Gloo session affinity for reload re-connections

Reload re-connections now use Gloo session affinity, which reduces the load on services and improves reload success rates.

Some functionality may be rolled out in phases and not immediately available in all regions.

May 13, 2026

Preview validation rule impact before applying it

See how a validation rule affects your data before saving or running it, so you can fine-tune logic with confidence. This release introduces a rule impact preview capability directly within the rule designer.

Inline impact preview

While building or editing a validation rule, you can now trigger a preview that shows how the current rule logic would perform against your dataset, without saving or running the rule first.

The preview displays the count and percentage of records that would be flagged as invalid, based on the sample used for quality computation.

Sample view of affected records

The preview surfaces a filtered sample of the records that would fail the rule, giving you direct visibility into which data rows are impacted and why.

Iterative evaluation

You can adjust rule conditions and re-trigger the preview as many times as needed, enabling a fast, low-friction iteration loop during rule design.

Why it matters

This capability enables fewer overly restrictive rules, fewer false positives, and less rework after deployment. Teams can move from rule design to confident activation faster, with greater trust in the rules they create.

For performance reasons, the preview is based on a computed sample, not the full dataset.

Working with validation rules

Some functionality may be rolled out in phases and not immediately available in all regions.

May 7, 2026

New permission added for the engine assignment feature

The application engine assignment feature already allows permanent placement of applications on selected compute engine sizes. With this release, we're adding a new permission: Manage engine assignments for applications.

This permission lets you delegate engine assignment management to specific users without giving them full Tenant Admin or Analytics Admin rights. The permission is available only through custom roles and isn't included in the User Default permissions.

Assigning engines to improve application performance

Some functionality may be rolled out in phases and not immediately available in all regions.

May 7, 2026

Changes to Analyzer user access

To simplify the permission model and align with capacity-based subscriptions, the following Analyzer user capabilities have been updated:

• Analyzer users now have the same access as Professional users when they have the Can contribute role in managed spaces.
• Analyzer users with any Can edit role can now create private sheets in shared spaces.
• Analyzer users can no longer update application metadata in shared spaces.

Managed space permissions for users with Analyzer entitlement

Shared space permissions for users with Analyzer entitlement

Some functionality may be rolled out in phases and not immediately available in all regions.

May 7, 2026

Changes to scheduled automations

In support of scheduler improvements for Qlik Automate, changes are coming to scheduled automations. This begins with improvements to how the next scheduled run is shown in the Automation history view, and changing the minimum scheduling period to one minute, as announced in January 2026. Customers with schedules with second grain intervals will see these rounded to the nearest minute with this change.

For more information, see Qlik Automate: 30-second interval deprecation on Qlik Community.

Some functionality may be rolled out in phases and not immediately available in all regions.

May 5, 2026

Configurable maximum run time for automations

Qlik Automate now lets you configure the maximum run time for your automations, giving you more control over how long an automation is allowed to execute before it stops.

Previously, synchronous triggered automations had a fixed limit of 55 seconds, which could cause runs to fail when dependent services responded slowly.

You can now configure the limit for synchronous triggered automations from 55 seconds up to 5 minutes (default: 55 seconds). For all other automation types, you can set the limit up to 4 hours. Configure this in each automation’s settings.

Default values are unchanged: 55 seconds for synchronous triggered automations and 4 hours for all other automation types. Existing automations are not affected unless you update the setting.

For more information, see Navigating the user interface.

Some functionality may be rolled out in phases and not immediately available in all regions.

May 5, 2026

Select a branch for cross-project data sources

When consuming data from another project in a transform or data mart task, you can now select which branch of the referenced project to use as the source. The default branch is main. This lets you build stable prod-to-prod pipelines and isolated dev-to-dev pipelines across projects under version control.

Building cross-project pipelines

Some functionality may be rolled out in phases and not immediately available in all regions.