What’s New in Qlik Cloud

Agentic data engineering capabilities across the whole platform

This edition looks a little different from our usual format. Alongside the regular round-up of analytics and data integration updates, the June 2026 release saw one of the most significant announcements in Qlik Cloud’s roadmap to date: the general availability of agentic data engineering capabilities across the entire platform.

Rather than sitting within a single product area, this release touches both Qlik Talend Cloud and Qlik Cloud Analytics, embedding AI agents throughout the data engineering workflow – from discovering trusted assets through to shaping governed, AI-ready data products. Because of its platform-wide scope, we’ve given it its own dedicated section below, ahead of our usual Data Analytics round-up.

1. Agentic data engineering capabilities

Qlik has moved its agentic data engineering capabilities into general availability across Qlik Cloud. Rather than limiting AI assistance to pipeline code generation, Qlik now embeds purpose-built agents throughout the data engineering workflow – helping teams find trusted assets, define business meaning, assess quality, and package governed data products. All while keeping humans in control of the decisions that matter.

The aim is to close the gap between AI ambition and data readiness: for AI agents and analytics teams to work reliably, they need timely data, consistent meaning, quality signals, lineage, and policy controls in place.

• Data Quality: Agents retrieve trust scores and quality metrics, create or edit data quality rules, define service-level objectives, run calculations, and detect or report anomalies via natural language or MCP-enabled workflows.
• Data Products: Helps teams create, manage, and govern trusted, AI-ready data products for reuse across analytics and AI use cases.
• Catalog Glossary: Helps users discover data assets, standardise terminology, and connect business definitions to governed metadata.
• Declarative Pipelines with Coding: Lets data engineers use approved third-party coding agents and dev environments to generate and modify pipelines with governed pipeline context.
• Expanded MCP-enabled data tools: Gives authorised AI clients access to Qlik capabilities and context, so teams can use their preferred AI assistants without losing enterprise control.

2. Agentic tools for Qlik Predict now available in Qlik Answers

Qlik Predict now lives inside Qlik Answers, letting users describe a business problem in plain language – “predict customer churn from this dataset” – and receive a trained model, deployed predictions, or plain-English insights in return, covering both regression and classification problems. For existing Predict users this removes much of the manual experiment-configuration overhead; for everyone else, it puts predictive modelling within reach without a data science background.

3. Review agentic conversations in the Answers review portal

A new tenant-wide Answers review portal lets teams review conversations and feedback across Qlik Answers’ agentic experiences – assistants, applications, and the help specialist – from a single location. Access requires a custom role with the Agentic AI > Review agent and chat interactions permission enabled.

4. Actions in Qlik Answers via Qlik Automate

Qlik Answers can now trigger Qlik Automate automations directly from agentic insights drawn from structured and unstructured data. For example, updating CRM tickets from knowledge articles or pulling additional detail on ongoing incidents. Teams can build their own automation flows tailored to their agents’ needs.

5. AI-generated automation descriptions

A new AI Generate button in Automation settings produces a description of an automation based on its workspace structure, making automations easier to discover for both people and AI agents and MCP integrations. Requires the catalogGovernanceGenAI entitlement.

Data Analytics

On the visualisation side, straight tables and pivots both gained finer styling control. Reporting, mobile governance, Parquet data quality, and Scheduler orchestration all saw incremental but practical improvements. Administrators managing the Qlik Analytics mobile app should review the MAM toggle change to ensure continuity of their governance configuration.

1. Select an existing change store for your Write Table

Write Table charts can now reuse and switch between existing change stores directly from the chart configuration, rather than requiring a fragile one-to-one connection:

• Removes a common blocker when promoting Write Table apps from dev/test into production
• Reduces the risk of lost work if a change store connection breaks
• Gives teams visibility of change store usage across a space, with the ability to name stores for clarity
• Makes write-back configurations easier to manage, reuse, and recreate with matching primary keys

2. Copy and save monitored charts as images

Monitored charts can now be copied to the clipboard or saved as PNG images directly from the activity center, making it easier to share snapshots in emails, presentations, or collaboration tools without recipients needing Qlik Cloud access.

3. Performance Evaluation: Recommendations panel

The Performance Evaluation tool gains a new Recommendations panel, adding actionable guidance alongside existing diagnostics. Phase 1 includes:

• Unused fields: Flags unreferenced data model fields as removal candidates
• Open app phase breakdown: Shows time spent in each phase of app opening, to pinpoint latency
• App design recommendations: Including calculation condition suggestions, sheet and object count guidance, and long title recommendations

Further recommendation categories are planned for future releases, worth revisiting as this feature matures.

4. Subtotals in the new straight table

The new straight table now supports subtotals, making it straightforward to add partial sums without complex expressions. Subtotal styling – font family, size, style, colour and background – can be set independently, in the same way as grand totals.

5. Header and content cell styling in the new Pivot table

Background and text colour for header and content cells in the new Pivot object can now be styled separately, giving more control over visual hierarchy.

6. Paste to create Image and Text objects

Copying an image and pasting it onto a sheet now automatically uploads it to the media library and creates an Image object. Pasting plain text creates a Text object, preserving most formatting, including links. A small but handy shortcut when assembling content.

7. Summarise indexed files in Qlik Answers knowledge bases

Assistants can now list available files and generate summaries on request – for example, “What files are available?”, “Give me an overview of <filename>”, or “Summarise <filename>” – with a choice of overview or detailed, citation-backed summaries, one file at a time.

8. Data quality computation for Parquet datasets

Qlik Cloud now supports quality computation for Parquet datasets registered in the Catalog. Users can compute the Qlik Trust Score™, apply validation rules, and assign semantic types, bringing Parquet in line with the experience already available for other supported dataset types.

Note: This currently covers flat file-based Parquet datasets only, using pull-up processing. Push-down processing is not yet supported.

9. Updated data table experience in Qlik Predict

The Predict data table has been refreshed with improved controls and greater transparency into data preparation. Schema and Data views now include a feature-treatment column, updated checkbox behaviour, and visibility of child engineered features directly in the Data view, making it easier to understand exactly what the model sees.

10. Object filters in reporting

Report developers can now apply filters at the object level, giving finer control over how business reports are presented.

11. New certifications for Qlik Cloud

Qlik has achieved two further certifications underpinning trust in the platform:

• ISO/IEC 42001:2023 – the international standard for AI management systems
• German C5:2020 Type 2

12. Qlik Cloud expands to Canada

A new Canadian cloud region is now available, allowing Canadian organisations to store and process analytics data locally for improved performance and regulatory compliance across sectors including finance, banking, public sector, and healthcare. The Qlik Answers agentic experience is also available in this region.

13. Script: new Exit Error statement

A new Exit Error statement allows script execution to be ended with a user-defined error. Unlike Exit Script, it marks the reload as failed and surfaces the error message in the reload response. This is useful for building more robust, self-documenting error handling into load scripts.

14. Enhanced workflow chaining in Scheduler

The new Scheduler component gains more advanced workflow chaining options, including flows where downstream tasks can continue regardless of whether upstream tasks succeed or fail. This reduces workflow complexity and supports more resilient orchestration patterns for enterprise-scale scheduling.

15. JSON editor for automation blocks

JSON body fields in the Qlik Automate editor now include a syntax helper and a beautify button, instantly reformatting JSON into clean, indented output. Validation errors are surfaced directly below the field, showing what’s wrong and where, so issues can be caught before running an automation.

16. Qlik Analytics mobile app: governance and Intune integration improvements

Tenant administrators can now use mobile scopes to manage user adoption of the Qlik Analytics mobile app, hardening Microsoft Intune integration via server-side control for MAM (Mobile Application Management) deployment.

Action may be required: This update removes the previous user-controlled MAM toggle. Administrators relying on the original toggle-based configuration should review their mobile governance setup following this change.