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Climber Blog: What's New in Qlik Cloud April 2026

Whats New in Qlik Cloud

– April 2026 Updates –

 

Welcome to the next edition of the ‘What’s New in Qlik Cloud’ blog for April 2026!

Authors: Roger Gray, BI Manager & Tom Cotterill, BI Consultant, at Climber.

Data Analytics

Qlik brings a wide-ranging set of analytics enhancements across Qlik Cloud. This month’s release expands AI capabilities into new regions, strengthens automation controls, improves visualisation and embedding tooling, and delivers governance updates for both administrators and app developers.

1. Qlik Answers Agentic Experience Available in the Europe (London) Region

The Qlik Answers agentic experience is now available for tenants hosted in the Europe (London) region. Organisations can get started by turning on AI Features in Administration > Settings.

This regional expansion makes the governed, conversational AI experience – combining the Qlik Analytics Engine with curated document collections, citations, and reasoning explanations – available to a wider range of European customers operating under data residency requirements.

2. Application Changes for Qlik Answers

As part of improvements to Qlik Answers assistants and indexing, applications must now first be activated for Qlik Answers before they can be added to an assistant. The Add application flow will only show activated applications, ensuring that assistants are built on properly indexed and governed content.

3. Qlik Answers Application Management in the Administration Activity Centre

The Content section of the Administration activity centre now includes filtering and management capabilities for applications activated for Qlik Answers. This gives administrators direct visibility and control over what is contributing to Qlik Answers assistants.

New capabilities include:

  • Filtering by activation status: A new Source filter on the Applications tab lets administrators display only applications that have been activated and indexed for Qlik Answers
  • Bulk deactivation: Select one or more applications and use the Deactivate Qlik Answers bulk action to remove them from the index
  • Individual deactivation: Click the more actions menu on an individual application row and select Deactivate Qlik Answers
  • Enhanced indexing status: When an application is being indexed, a detailed progress dialog provides real-time visibility into each step, with checkmarks, spinners, and percentage indicators so administrators can monitor progress and identify issues

Deactivating an application removes it from the Qlik Answers index but does not delete the application itself. It can therefore be reactivated at any time.

4. Qlik Answers Legacy Model Updates

In-region models have been updated for the legacy Qlik Answers experience. For optimal performance, Qlik recommends activating cross-region inference to access the agentic Qlik Answers experience and take advantage of the latest model improvements.

5. Discovery Agent: Turn Data Changes Into Actionable Insights

The Discovery Agent automatically monitors your analytics applications and delivers AI-powered trend insights directly to your feed. This eliminates the need to manually review multiple dashboards to find what has changed.

Using intelligent anomaly and outlier detection, the Discovery Agent surfaces significant changes as they happen, making advanced trend analysis accessible to all business users.

Typical use cases include:

  • Executives tracking critical KPIs such as sales and margins
  • Business analysts monitoring global market performance
  • Sales leaders identifying revenue opportunities and early warning signals

Insights are generated automatically with each data refresh, and users can explore findings further using Qlik Answers generative AI. This provides a seamless path from automated detection to governed, conversational investigation.

6. AI-Recommended Features for Bias Detection

When configuring bias detection in a Qlik Predict experiment, you can now use AI to recommend which features to include in your bias scan. The AI analyses feature names and data samples to identify features that may be relevant for bias analysis, such as those related to age, gender, ethnicity, or other sensitive attributes.

Recommended features are pre-selected for your review. You can adjust the selections before running your experiment, and manual feature selection remains available. This feature uses AI and can make mistakes, always review all recommendations before running your experiment.

Prerequisite: AI Features in Qlik must be enabled by your tenant administrator.

7. Large Training Datasets for Qlik Predict

Qlik Predict is expanding training support to enable training on much larger datasets, helping you build more accurate predictive models. Training capacity is based on your subscription and is measured in cells: rows multiplied by selected columns, including the target field. Depending on your subscription and dataset format, training datasets can be up to 500 million cells.

Supported dataset file types for large training are QVD, Parquet, and CSV. For very large datasets, preview and profile details may be limited depending on the file type.

8. Qlik Analytics Mobile App Supports Intune Policies

The Qlik Analytics mobile app now integrates the Microsoft Intune SDK, enabling enterprise IT administrators to configure and deploy mobile device management (MDM) and mobile application management (MAM) policies.

This update allows organisations that use Microsoft Intune as part of their endpoint management strategy to apply the same security and compliance policies to the Qlik Analytics mobile app as they do to other corporate applications. This will support consistent governance across mobile devices.

9. Updates to Extensions and Themes

Qlik has updated its extension and theme services. Developers with resources that have not been accessed or updated since 17 November 2025 should act now and migrate them in the Administration activity centre to avoid losing access.

Additionally, developers can now download their themes and extensions directly from the Administration activity centre, providing a more convenient alternative to using the API for retrieval.

10. Keyboard Shortcuts for Analytics Applications

New keyboard shortcuts have been introduced to make navigating Qlik applications faster and more efficient. You can now quickly move between key tools – including the Data Load Editor, Reporting, and Sheets – without leaving your keyboard.

These shortcuts streamline common workflows, helping you access the areas you use most with fewer clicks and less interruption, whether you are building data models, designing reports, or exploring insights across sheets.

11. UI Improvements for the Straight Table

The straight table has been updated with a shortcut to add an arbitrary expression at creation, reducing the process from 6 clicks to 3. This small but impactful change speeds up the workflow for developers building and refining tables during app development.

12. Top Bar Styling Options

You can now customise the look of the top bar in your analytics applications. New styling options allow you to change both the background colour and font colour, making it easier to align the interface with your organisation’s branding or visual preferences.

These enhancements give app developers greater control over the application’s appearance while helping create a clearer, more consistent user experience across your analytics environment.

13. Multi-Select and Bulk Actions for Blocks in the Automation Editor

The automation editor now supports selecting multiple blocks simultaneously and applying bulk actions across the selection. Supported bulk actions are copy, cut, paste, delete, and move.

This improvement significantly speeds up the process of restructuring and editing complex automations, reducing the number of individual interactions needed when reorganising workflows.

14. Redirect for Automations with Inputs

When you run an automation that requires input from within the Qlik Hub, a modal now appears offering the choice to stay on the current page or be redirected to provide the required inputs. This removes ambiguity and ensures users can supply the necessary values before the automation executes.

15. Block Request Timeout Increase for Qlik Automate: 55 Seconds to 5 Minutes

The maximum wait time for API requests within automation blocks has been extended from 55 seconds to 5 minutes. Previously, any third-party system that took longer than 55 seconds to respond would cause the block to fail.

This was a common issue for automations that integrate with AI models or other services that require more time to reason and return a result. This change significantly improves reliability for those use cases and reduces the need for workarounds such as polling patterns or chained retry logic.

16. Updates to the Share > Embed Menu

The Share > Embed menu has been updated to surface qlik-embed, Qlik’s current embedding framework, making it straightforward to embed visualisations from your Qlik Sense application. The updated pane also includes easy-to-copy app ID, object ID, and visualisation type metadata, reducing the manual steps needed when setting up embedded analytics.

17. Amazon S3 V2 Connector: Optional Root Prefix in Connection Definition

The Amazon S3 V2 connector now includes an optional Root Prefix parameter. Administrators can restrict a connection to a specific folder path within a bucket, limiting user access and providing secure data governance without the need for separate buckets or complex IAM policies.

Users browse and select files only within their assigned folder and are unaware of any broader bucket content. This improvement simplifies multi-team data governance in shared S3 environments.

18. New Direct Access Gateway Version (1.7.12)

Direct Access gateway 1.7.12 introduces new and enhanced features and resolves several issues. This version brings functionality to several connectors that was previously only available with the corresponding non-Direct Access gateway versions.

New drop-downs in the Select data to load dialog have been added to the following connectors:

  • Athena Drill (via Direct Access gateway): Database and Owner drop-down lists added
  • Databricks (via Direct Access gateway): Catalog and Schema drop-down lists added
  • Presto (via Direct Access gateway): Database and Owner drop-down lists added
  • Snowflake (via Direct Access gateway): Role, Database, and Schema drop-down lists added

Additional changes in this release:

  • Enable Bulk Reader option removed: This option is now enabled by default and no longer appears in the UI. It can only be disabled using an internal property
  • Minimum TLS version: TLS 1.3 has been added to the Minimum TLS drop-down list for Apache Drill, Google BigQuery, and Microsoft SQL Server via Direct Access gateway

Data Integration

April’s release may be a modest one on paper, but there’s plenty here to improve visibility, control, and everyday workflow. We have richer dataset previews and more visible validation rules to broader access control and a useful set of gateway improvements. This month’s updates overall focus on making Qlik Talend Cloud easier to work with day to day.

1. Configurable Preview Size

Qlik Talend Cloud now lets you choose between a 100-row and 1,000-row dataset preview, so you have a broader sample to work with when reviewing data quality.

This larger preview works alongside the existing filtering options, so you can still narrow results by quality status, validation rule, or semantic type, while also seeing which rule or type triggered an invalid result.

The practical benefit is obviously simple. With more rows in view, it becomes easier to spot issues that might not appear in a smaller sample. That gives data engineers and quality teams a better foundation for tuning rules and deciding what needs remediation.

More information: Configuring Data Quality

2. Filter Valid, Empty, and Invalid Records from Dataset Preview

Dataset preview now supports filtering by quality status, so you can more easily focus on the records that need attention. Rather than scanning the full sample manually, you can instead isolate rows marked as valid, invalid, empty, and other status categories directly within the preview.

You can also refine the view further by filtering on specific validation rules or semantic type results, with indicators showing exactly which rule or type caused a record to be marked invalid. An unfiltered preview remains available as well, so it is still possible to step back and view the wider dataset in context.

This is a useful addition for anyone working hands-on with data quality, whether that means checking missing customer IDs, reviewing invalid addresses, or confirming that a newly applied rule is behaving as expected.

3. Validation Rules Now Visible from the Dataset Overview

Validation rule results are now shown directly from the dataset overview, so it will be much easier to see data quality issues without navigating elsewhere.

Two additions are included in this update:

  • Validation rules summary section
    A new summary area gives an at-a-glance view of the rules applied to the dataset, including how many rules exist and whether they are currently passing or failing.
  • Validation rules tab
    A dedicated tab provides more detail on each rule, including the affected fields, the rule logic, and the current evaluation result. It also gives users a clear route into further investigation and remediation.

This brings validation status much closer to the front of the dataset experience. Producers and consumers can understand quality issues in context, respond earlier, and get a clearer view of what is driving the dataset’s overall quality profile.

4. Scope-Based Access Control Across Qlik Cloud

Qlik Cloud now includes scope-based access control, giving tenant administrators more precise control over which users can access specific features and APIs.

Each scope is tied to a particular workflow, making it easier to grant access based on what a user actually needs to do rather than relying on broader permissions. Scopes can be viewed and assigned directly in the Management Console, while the user interface now reflects those permissions more clearly, helping reduce confusion around actions that are not available to a given user.

More information: Permissions in User Default and custom roles

5. Qlik Cloud Data Integration Improvements

Customers using Qlik Data Gateway – Data Movement will need to upgrade to 2025.11.23 or later to take advantage of the latest platform improvements.

This release includes several useful updates across replication, target support, and version compatibility:

  • Extended Parallel Load support
    Parallel Load is now supported for Databricks targets, allowing dataset segments to be replicated in parallel.
  • DDL History control table support expanded
    The attrep_ddl_history control table, which tracks source-side DDL changes during replication, is now supported for the following additional targets:

    • Google BigQuery
    • Google Cloud AlloyDB for PostgreSQL
    • Google Cloud SQL for PostgreSQL
    • PostgreSQL (on-premises)
  • Change mask enhancement for Parquet Change Tables
    When using Change Tables with Parquet format, the [header]__change_mask column now pads zeros to the left rather than the right, aligning with little-endian byte order. This applies to:

    • Amazon S3
    • Google Cloud Storage
  • Newly supported source and target versions
    • Kafka target: 4.0.x
    • IBM z/OS source: 3.2
  • Newly supported driver versions
    • Microsoft ODBC Driver 18.5
    • MySQL 8.4

There are also a number of end-of-life changes to be aware of:

  • Support discontinued following Microsoft’s retirement of both services
    • Microsoft Azure Database for MySQL
    • Microsoft Azure Database for PostgreSQL
  • End-of-life source and target versions
    • Databricks target: 10.4 LTS and 11.3 LTS
    • MariaDB source and target: 10.5
    • PostgreSQL source and target: 13.x
    • MySQL source and target: 8.1
  • End-of-life driver version
    • Microsoft ODBC Driver 18.3

Read more:
Replicating dataset segments in parallel
DDL history
Change Tables

Summary

April 2026 is a broad and impactful release for Qlik Cloud. The expansion of the Qlik Answers agentic experience into the Europe (London) region, the introduction of the Discovery Agent, and continued investment in Qlik Predict’s bias detection and large dataset support all reflect Qlik’s deepening AI capabilities. For platform administrators and developers, the new Qlik Answers application management controls, multi-select in the automation editor, increased block request timeouts, and Direct Access gateway 1.7.12 deliver practical improvements that reduce friction in day-to-day operations.

A mixed bag this month, but a useful one. There is new target support, some practical replication enhancements, and a few version changes that are worth keeping an eye on if you manage gateway upgrades or platform compatibility.

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WANT TO KNOW MORE? CONTACT US!

Bas Haarhuis

Advisor Data & Strategy
bas.haarhuis@climber.nl
+31 6 39 46 39 65

Gepubliceerd 2026-04-10

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