What’s New in Qlik Cloud

– May 2026 Updates –

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

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

Data Analytics

Qlik Cloud continues to improve analytics, automation, governance, and application usability. This month’s release focuses on faster user workflows, stronger security controls, improved map and table experiences, and enhanced Direct Access gateway performance. Here are the key updates from the May 2026 release.

1. Faster Responses in Qlik Answers

Qlik Answers now delivers faster responses through an updated agent architecture. The platform now combines several processes into a more unified workflow. The Data Analyst Agent now handles tasks that previously required separate agents.

Benefits include:

Faster response times
Improved handling of complex questions
Better support for time-based comparisons
More efficient structured data analysis

Users do not need to configure anything to benefit from the update.

2. New Qlik MCP Server Tools for Bookmark and Master Items

Qlik has added new tools for the Qlik MCP server. These updates improve application management and automation workflows.

Users can now:

View bookmarks in applications
Create bookmarks
Update bookmarks
Delete bookmarks
Update master dimensions
Update master measures
Delete master dimensions and measures

These additions help developers and administrators manage reusable analytics content more efficiently through automation and integrations.

3. Pivot Table Exploration Arrives

Qlik has added interactive exploration features to the new Pivot table. Users can now move dimensions and measures between rows and columns directly while viewing a sheet. This gives business users more flexibility to build custom reports without editing the application.

Key capabilities include:

Drag-and-drop exploration
Alternative dimensions and measures
Flexible report layouts
Easier ad hoc analysis

The updated data section now uses a unified panel for both active and alternative fields, making navigation simpler and more consistent. This update brings the Pivot table closer to the flexibility already available in the Straight table experience.

4. Straight Table Data Section Redesign

The Straight table data section has been redesigned with a cleaner unified layout.

The new panel now supports:

Current columns
Alternative columns
Hidden column management
Multi-column visibility controls

Benefits include:

Easier column management
Better organisation of large tables
Improved developer productivity

5. Header and Cell Styling in Straight Tables

Straight tables now support separate styling for:

Column headers
Content cells

Developers can independently configure:

Background colours
Text colours

This enhancement improves dashboard formatting and supports stronger visual consistency across applications.

6. Select by Visible Points in Map Charts

Map charts now support selections based on visible points in the current map view. The new Spatial index operation in GeoOperations indexes point data for use in map charts. As users zoom or move around the map, Qlik automatically selects records related to the visible area.

Key benefits include:

Faster interaction with large map layers
Better performance for high-volume geographic datasets
Easier filtering of location-based analytics
Improved user experience in operational dashboards

The new Auto select visible feature makes large-scale map analysis more practical without overloading the browser.

7. Configurable User Session Timeouts

Tenant administrators can now configure session timeout settings directly in Qlik Cloud.

Two new options are available:

Session inactivity timeout
Maximum session lifetime

These settings help organisations strengthen security and align session behaviour with internal IT policies. This is especially useful for regulated industries and public sector organisations.

8. New Direct Access Gateway Version 1.7.13

Direct Access gateway 1.7.13 introduces several performance, authentication, and reliability improvements.

Extended Authentication Support

The following connectors now support Single Sign-On using Kerberos authentication:

Apache Hive
Cloudera Impala
Teradata
Microsoft SQL Server

The Teradata connector now also supports LDAP authentication. These updates improve enterprise authentication support and simplify secure access management.

Improved Handling of File Connector Reloads

Qlik resolved an issue where reloads could fail when requests were sent to inactive pods. The updated routing logic now redirects requests to active pods automatically, reducing reload failures and improving stability.

Improved Reload Measurement Logging

Reload logging now provides deeper visibility into reload performance.

New logging information includes:

Percentage of reload time spent on WebSocket transfer
Estimated throughput between the data source and Direct Access gateway
Estimated throughput between Direct Access gateway and Qlik Cloud

This improvement helps administrators troubleshoot slow reloads more effectively.

New ODBC Fetch Size Setting

A new setting allows administrators to control how many rows the ODBC connector fetches per bulk request.

This setting can help optimise performance in environments with:

Large reload volumes
High latency networks
Resource-constrained systems

The default setting remains suitable for most use cases.

Row Count Validation During Reloads

Qlik now validates row counts during reload processing for non-File Direct Access connectors. If the number of rows read does not match the number delivered to the analytics engine, the reload fails automatically. This improvement helps prevent incomplete or inconsistent data loads.

Improved Async Command Error Handling

Error handling for asynchronous commands has been improved. Administrators now receive clearer diagnostics when async operations fail, helping support teams identify issues faster.

9. Write Table Dropdown Enhancements

The Write Table dropdown input now supports:

Qlik expressions
Label and value pairs using the pipe symbol (|)

Examples are:

’Product A|Product B|Product C’

‘London|Manchester|Birmingham’

This update gives developers more flexibility when building interactive applications with editable data input.

10. Automation Payload Size Increased to 1 MB

Qlik Automate now supports payloads up to 1 MB, increased from 32 KB.

This change supports more advanced automation scenarios, including:

Larger webhook payloads
More detailed automation triggers
Complex button-driven workflows
Richer integration data exchanges

This update removes a common limitation for enterprise automation use cases.

Data Integration

May is a lighter month for Qlik Talend Data Integration, but the updates that have landed are all practical. The focus this time is on visibility, control, and a few useful quality-of-life improvements. From broader dataset previews and easier quality refreshes to more flexibility when deleting tasks.

1. Qlik Talend Cloud – Data Integration improvements

Customers using Qlik Data Gateway – Data Movement will need to upgrade to 2025.11.40 or later to benefit from the latest improvements. For upgrade instructions and a list of resolved issues, see Upgrading the Data Movement gateway installation.

Databricks driver rebranding

To align with Databricks naming, the driver used with the Databricks connector has been rebranded. Customers using this connector must also upgrade their driver to avoid task failures. This can be done automatically using the driver setup utility, or manually if preferred.

This release adds support for the following driver versions:

Snowflake: Snowflake ODBC driver 3.15.0 (64-bit)
Google BigQuery: Simba ODBC driver 3.1.6.1026

Support for the Databricks VARIANT data type

Qlik now supports mapping the following data types to Databricks’ native VARIANT type:

STRING
WSTRING
NCLOB
CLOB

This requires Databricks Runtime 15.4 or later.

2. Trigger data quality refresh for a data product

You can now trigger a full data quality refresh for every dataset within a data product in a single action. From the data product view, users with the right permissions can run a one-click quality compute across all underlying datasets at once. This applies validation rules and semantic type checks across the full product, without needing to open and refresh each dataset individually.

This is a useful addition for data product owners and quality leads, especially where source data changes regularly and quality results need to be brought back in line with the latest state of the data.

More information: Computing data quality for data products

3. Ability to keep tasks artifacts after deletion

When deleting projects or tasks, Qlik Talend Cloud now gives you the option to keep the task artefacts, such as tables and views, in the target platform.

This applies to all task types except landing and replication tasks. It adds a little more control when cleaning up or restructuring projects.

4. Configurable preview size

You can now configure dataset preview size to 100 or 1,000 rows. This gives you a broader view of your data when reviewing quality results.

This works alongside the existing preview filters. 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 simple: a larger preview makes it easier to catch issues that might not appear in the first 100 rows, giving data engineers and quality teams a more representative sample to work from when reviewing and tuning data quality rules.

Summary

The May 2026 Qlik Cloud Analytics release focuses heavily on usability, scalability, and enterprise operations.

Key themes in this release include:

Faster and more flexible analytics experiences
Improved governance and authentication
Better monitoring and troubleshooting
Enhanced table and map interactions
More powerful automation capabilities

The updates to Pivot tables, Write Table, Qlik Answers, and Direct Access gateway stand out as particularly valuable for organisations building large-scale analytics solutions in Qlik Cloud. For Qlik developers, administrators, and business users alike, this release delivers practical improvements that support both day-to-day productivity and long-term platform scalability.

For Qlik Talend Data Integration, it’s a smaller release, then, but not an empty one. Larger preview sizes improve day-to-day data quality work. Validation and refresh actions are becoming easier to manage at the data product level, and task deletion now comes with a little more choice. Alongside the latest gateway and driver updates, May’s changes continue the recent theme of making Qlik Talend Cloud more usable, more transparent, and a little easier to live with.

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WANT TO KNOW MORE? CONTACT US!

Magnus Petersson-Ahrholt

BI Manager
magnus.petersson-ahrholt@climber.se
+46 70 830 27 35

Olof Malmström

BI Manager
olof.malmstrom@climber.se
+46 73 443 48 50

Publicerat 2026-05-19

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What’s New in Qlik Cloud – May 2026

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