What’s New in Qlik Cloud

– April 2025 Updates –

Welcome to the next edition of the ‘What’s New in Qlik Cloud’ blog for April 2025!

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

Data Analytics

Qlik continues to roll out a comprehensive set of updates across the platform – from workflow automation, machine learning improvements, charting enhancements, new scripting tools, and expanded global coverage. Here’s everything you need to know this month!

1. Self-Service Scheduling: Task Chaining and Multi-Task Support

Qlik is introducing the first release of our Self-Service Scheduling capabilities, aimed at enhancing workflow automation directly within Qlik Cloud. This release empowers users to design and manage task execution without the need for Qlik Application Automation.

With this feature, you can:

Automate sequences of tasks across different applications, scripts, and data flows to reduce manual intervention and human error.
Design workflows that are scalable and suitable for both simple and complex scenarios.
Manage all scheduled tasks through a single, centralised overview, simplifying day-to-day task management.
Coordinate cross-functional data workflows with seamless task scheduling between apps and scripts.

This is just the beginning and cannot wait for the upcoming features that includes Live Status Monitoring for real-time visibility of all active tasks.

2. Multiple Model Deployment in Machine Learning

Qlik Cloud now supports deploying multiple machine learning models within a single deployment. This improvement enables simultaneous model execution and allows users to interchange models without adjusting the deployment structure or disrupting integrations.

3. Enhanced Application Loading Experience

Qlik has introduced real-time progress updates for analytic apps as they load. This enhancement provides users with a clear and detailed view of the app loading process, particularly useful for larger applications.

Note: This feature is disabled by default. It can be activated by tenant administrators via the Settings panel in the Administration activity centre.

4. App Details: Overlay Presentation

App details now appear as an overlay rather than a side panel. This change provides a more responsive and modernised user interface experience.

5. Qlik Answers: Knowledge Base Summary Enhancements

The knowledge base summary page has been updated to offer greater clarity and control:

Filter and view indexed files more effectively.
Manage file indexing and removal with ease.
Review assistant usage and reference frequency.

6. Qlik Answers: AI Model Upgrades

Qlik Answers has been upgraded to use more advanced AI models in selected regions:

Claude Sonnet 3.5 is now active in the US (Virginia) and Europe (Frankfurt).
Cohere Rerank 3.5 is live in Japan (Tokyo) and Europe (Frankfurt).

7. Data Alerts: Execution Condition Change

The alert configuration previously named “When data is refreshed” is now called “When data changes.” Alerts will now only trigger if the underlying data changes, reducing unnecessary notifications.

8. Expanded In-App Reporting Capacity

Report developers can now manage up to 1,000 unique in-app report tasks, a tenfold increase from the previous limit of 100.

9. Visualisation Enhancements and New Chart Options

Several enhancements have been introduced to charts and visualisation capabilities:

A new Butterfly chart presentation for bar charts enables comparison of two measures across a dimension.
Line charts now support the manual addition of points and lines to highlight values or trends.
The new straight table supports zebra striping, improved download options (including titles, totals, and selections), and configurable NULL value representation.
Pivot tables have been enhanced with full expand/collapse functionality and right-to-left language support.
Map charts now support custom selection outlines and improved WMS background layer integration, including Basic Authentication.

10. Improved Control Over Connection-Based Datasets

When integrating datasets into data flows, scripts, or analytics applications, users can now select a specific data connection if multiple matches are found. This adds more precision to the data preparation and ingestion process.

Additionally, datasets originating from Qlik Talend Cloud pipelines can now be utilised as data sources across Qlik Cloud, extending integration from ingestion to preparation and analysis.

11. New Automation Blocks in Qlik Application Automation

Create Salesforce Tasks: Trigger actions based on insights, assigning tasks to users, opportunities, or accounts.
Delete GitHub Files: Improve automation control and version management.
Get Chart Image Block: Now supports custom file names.
Qlik Cloud Services Connector: Now includes support for custom user groups.

12. Google Drive Connector: Read-Only Access Option

For organisations with stricter security policies, it is now possible to define Google Drive connections as read-only. This configuration disables the STORE command in scripts and ensures compliance with restrictive data governance requirements.

13. Direct Access Gateway Updates

Version 1.7.2 introduces a chunk recovery resume threshold for better control during reloads.
Version 1.7.3 includes expanded logging detail, improved diagnostic tools, and ODBC enhancements to exclude unsupported ANSI drivers from selection.

14. Scripting Documentation and Examples

Scripting topics have been updated with new examples to assist developers. Areas covered include:

Formatting and Interpretation Functions
Conditional and Field Functions
Inter-record Functions

15. Visual Menu Customisation

App developers can now customise right-click menu options directly via the app UI settings, giving more control over user interactions.

16. Deprecated Charts Scheduled for Removal (May 2026)

The following deprecated visual objects will be removed from Qlik Cloud distributions in May 2026. Users should transition to supported alternatives:

Bar and Area charts (legacy)
Bullet (old version)
Heatmap chart
Button for Navigation
Share button
Show/Hide container
Tabbed container

17. Multi KPI Chart Retirement

The legacy Multi KPI object will be deprecated. Users are encouraged to explore modern alternatives such as the Layout container, updated chart styling options, and the Navigation menu to maintain or enhance KPI visualisations.

18. Regional Expansion: Middle East Cloud Region

Qlik Cloud is expanding with a new region in the United Arab Emirates (UAE). This supports customers in the Middle East with local data storage, regulatory compliance, and improved performance across industries including finance, public sector, and healthcare.

Data Integration

This month, Qlik Data Integration is serving up a tapas-style selection of updates. Small but packed with data integration goodness and improvements designed to make your workflows smoother, smarter, and more secure. From AI-powered data modelling to enhanced GitHub automations and new API capabilities, there’s plenty to sink your teeth into. Here’s what’s cooking!

1. Custom naming for chart images in Qlik Application Automation

Need to send multiple charts in a single email or message? You can now assign custom names to chart images generated by the Get Chart Image block in Qlik Application Automation. This small but mighty tweak helps keep things tidy and avoids the dreaded “chart_image_1_final_final.png” naming chaos. Great for building polished, multi-chart outputs without confusion.

For more information, see How to send a chart image with Qlik Application Automation.

2. Data Quality profiling gets a boost in Qlik Cloud Government

Good news for our friends on the Qlik Cloud Government side — data quality computation now supports QVDs. Previously limited to other dataset types, this update extends pull-up mode profiling to QVDs, making it easier to maintain trusted data across diverse formats.

Whether you’re dealing with SQL databases, flat files like CSV/XLS/XLSX/QVD, or the ever-reliable Snowflake, you can now analyse and act on quality metrics directly in Qlik Talend Data Integration. It’s another solid step toward keeping your data clean, consistent, and confidently shared.

See the following for more information on data quality for connection-based datasets and data quality for file-based datasets.

3. Troubleshooting for non-Gateway data tasks just got easier

Running replication or landing tasks without the Data Movement gateway? You can now view and download logs for the task, source connection, application, and replication engine — all from the interface. More visibility, faster fixes, fewer support tickets.

For more details, see Troubleshooting data tasks.

4. New Delete File block for GitHub connector

Need tighter control over your GitHub workflows? Qlik Application Automation now includes a Delete File block in the GitHub connector. It’s a handy addition for tidying up versioned files and refining your CI/CD-style automations — because sometimes, less is more.

For more information, see How to get started with GitHub in Automations.

5. Custom group support in Qlik Cloud Services connector

You can now use custom groups across all group-related blocks in the Qlik Cloud Services connector within Application Automation. More flexibility, better access control, and smoother governance workflows — served just how you like it.

For more information, see Introducing Custom Groups to Qlik Cloud Analytics.

6. Create Salesforce tasks directly from Qlik automations

Analytics are great — but action is better. With the new Create Task block in the Salesforce connector, Qlik Application Automation can now nudge your sales team into motion. Create and assign tasks to users, opportunities, or accounts — automatically, based on insights. Think open renewals, upsell prompts, or gentle reminders they really should call that customer back. No more “I didn’t see the report” excuses.

For more information, see Create tasks in Salesforce with Qlik Application Automation.

7. Project support lands in the Qlik Talend Cloud Data Integration connector

The Qlik Talend Cloud Data Integration connector in Qlik Application Automation just got a whole lot more powerful. You can now create, export, and import projects directly within your automations. Whether you’re managing multiple environments or streamlining deployments, this brings serious efficiency to your integration workflows — no mess, no fuss.

For more information, see Getting started with the Qlik Talend Cloud Data Integration connector in Qlik Application Automation.

8. New Project APIs for Qlik Talend Cloud Pipelines

Calling all power users and automation fiends — you can now programmatically deploy Qlik Talend Cloud Data Integration projects across spaces and tenants using a robust new set of export/import and prepare APIs. This opens the door to true DevOps-style deployments in Qlik Cloud.

Here’s what’s now possible:

Export project contents as a .zip file
Create new projects via API
Read and update bindings (project variables)
Import projects across tenants and spaces
Validate and prepare projects or individual tasks before running them in production
Monitor validation and preparation status

These new endpoints empower you to shift from manual handovers to smooth, repeatable automation flows. Perfect for CI/CD pipelines, multi-environment deployments, or just removing human error from the equation.

For more information, see the reference documentation for the Data Integration Projects API.

Note: These APIs are not yet supported in Qlik Cloud Government.

9. Data quality profiling now supports MongoDB in pull-up mode

MongoDB users, rejoice — data quality computation in pull-up mode is now available for your datasets! That means you can profile your NoSQL data directly within Qlik Cloud’s engine — no external processing required.

A couple of highlights:

Pull-up mode now works for MongoDB, just like it does for QVDs and SQL. Custom sampling lets you control the size of the dataset used for profiling.

More quality, less complexity.

Check out the full list of other compatible sources here.

10. OAuth support for Databricks target connector

This one’s for all security minded folks: OAuth authentication is now supported when connecting to Databricks as a target in Qlik Data Integration. It’s the recommended method from Databricks themselves, offering stronger security and better credential management.

Personal Access Tokens are still supported (for now), but if you want to future-proof your pipelines and keep InfoSec smiling, it’s time to make the switch.

For more information, see Databricks authentication.

11. Customise how the Qlik Trust Score™ is displayed

You can now customise the display format of the Qlik Trust Score™ at the tenant level. Whether you prefer a percentage (%) or a score out of 5, this update gives you more flexibility in how quality metrics are presented — so they align with your organisation’s standards, not someone else’s.

Available to Qlik Talend Cloud Enterprise customers with the right permissions.

To read more, visit Qlik Trust Score™.

12. Create pull requests directly in Qlik Talend Cloud Pipelines

No need to hop over to GitHub — you can now create pull requests right inside Qlik Talend Cloud Pipelines. After committing and pushing changes, simply generate the pull request from within your pipeline project and open it in GitHub for review and merge.

It’s a small touch that streamlines version control, speeds up collaboration, and saves precious clicks.

For more information, see Manage your projects with version control.

13. Create custom semantic types for better data classification

You can now define custom semantic types in Qlik Talend Cloud to fine-tune data classification and validation. Use dictionaries, regex patterns, or compound configurations to tailor semantic checks to your organisation’s needs.

This is especially handy for validating domain-specific data think NHS numbers, UK postcodes, or internal product codes like PROD-2025-XYZ. By defining your own types, you can catch rogue values early and ensure your data fits the formats that matter to your business.

For more information, see Managing semantic types.

14. AI-recommended relationships in data models

Creating data models in Qlik Talend Cloud just got a clever upgrade — AI can now recommend relationships between datasets in your pipeline tasks. It analyses metadata like:

Dataset names and descriptions
Column names, data types, and sizes
Primary key columns
Existing relationships

This means fewer missed joins, better model quality, and faster delivery — all with a little help from the machine.

For more details, see Creating a data model and Generative AI-based assistant in Data Integration.

Note: Not yet supported in Qlik Cloud Government.

Summary

Whether it’s building smarter data models with AI, securing your pipelines with OAuth, or just keeping your automation outputs neatly named, this month’s updates are all about removing friction and giving you more control.

We’ll be back next month with more fresh features — until then, happy data integrating!

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WANT TO KNOW MORE? CONTACT US!

Jordy Wegman

BI Manager
jordy.wegman@climber.nl
+31 6 11 62 68 58

Bas Haarhuis

Sales Manager
bas.haarhuis@climber.nl
+31 6 39 46 39 65

Gepubliceerd 2025-04-11

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