Qlik Cloud December 2025: what’s new

January 8, 2026

Reading time: 10 min

DATA ANALYTICS

Deprecated chart events available

Tenant administrators can now access the event history of their tenant to monitor when and where deprecated charts in Qlik Sense apps are opened by users. The new event is emitted each time a user loads a sheet with a deprecated object, allowing easier identification and updates of these charts across a Qlik Cloud tenant.

Finding deprecated charts

SAP NetWeaver connector updated to v8.3.0 (Connector and Transports)

The SAP NetWeaver Connector for Qlik Sense Enterprise on Windows and QlikView has been updated to support recent additions and fixes in supported SAP systems and SAP object types, ensuring continued compatibility with the latest SAP releases.

This release includes the connector package itself and the updated transports (version 8.3.0)

Users upgrading from v8.1.0 should install both the new connector package and transports to benefit from full compatibility and support for new SAP object types.

As with all connector updates, we recommend reviewing system requirements prior to upgrade to avoid disruption in existing ETL/data load processes.

New security scope to govern GeoOperations

A new scope in Qlik Cloud now gives administrators full control over permissions related to GeoOperations.

The scope is divided in three areas:

• Allowed: Users can use all GeoOperations functions.
• No geocoding: Users can use all GeoOperations functions, except for Address to point lookup and Point to address lookup.
• Not allowed: Users cannot use GeoOperations.

Permissions in User Default and custom roles

Dynamic reload engines for all reloads

All reloads, including those triggered from the script editor, now receive their own dedicated engine during processing. This enhancement applies to both small and large apps, providing a more consistent and predictable experience for all users, particularly app developers. Note: Not supported in Qlik Cloud Government. Not supported in Qlik Cloud Government – DoD.

Sheet templates in Qlik Cloud

Building great dashboards just got faster! Qlik Cloud now offers Sheet templates — a simple way to jumpstart your analytics design and focus on insights instead of setup.

With Sheet templates, you can:

• Start from proven layouts instead of building from scratch
• Choose from multiple template options that fit different use cases
• Preview templates as wireframes before applying

Whether you’re new to Qlik or a seasoned creator, Sheet templates make it easier than ever to build impactful dashboards in minutes — not hours.

Building sheets using templates

Charts reorganization

Charts in the assets panel has been reorganized into three categories:

• Visualizations: Visualizations for presenting your data in analytic apps.
• Dashboard objects: Objects to format your sheets to best present the analytic information in other charts.
• Legacy: Older visualizations still supported for use in analytics apps.

Additionally, visualizations from the Qlik Visualization Bundle and Qlik Dashboard Bundle have been integrated into Charts, allowing faster access to all available visualizations.

Choosing the right visualization

For more information, see:

• Best practices for choosing visualization types

• Creating and editing visualizations

• Creating and editing analyses

Script-only variables and drop mapping tables

Mapping tables can now be dropped as soon as they are no longer needed, improving memory efficiency during reloads, particularly helpful for large mapping tables or iterative scripts.

Drop table

The load script now also supports script-only variables and explicit variable dropping, ensuring temporary variables do not appear in the final application.

Working with variables in the data load editor

New: Write Table in Qlik Cloud Analytics

Make your analytics apps interactive. Edit data, add comments, and watch your updates sync across sessions instantly.

With Write Table’s instant syncing and change tracking, teams can collaborate in real time and export updates through Qlik Automate. Find it in the Chart Library when editing an app.

Enjoy a smoother, more efficient workflow!

Learn more at:

• Write Table now in Qlik Cloud Analytics
• Write table
• Creating write tables
• Video – Write table in Qlik Cloud

Notes: Not supported in Qlik Cloud Government. Not supported in Qlik Cloud Government – DoD.

Resizable properties panel

For everyone working with extra-long field names, your rescue has arrived! The properties panel is now fully resizable, giving you the freedom to stretch it as wide as you need. No more guessing. No more hovering and hoping. Just clean, clear, fully visible field names—finally.

Enjoy a smoother, more efficient workflow!

Enhancements to multivariate time series forecasting

Multivariate Time Series in Qlik Predict now includes:

• Various performance and model quality improvements
• Operations monitoring
• Time series-specific details in the model training report

Notes: Not supported in Qlik Cloud Government. Not supported in Qlik Cloud Government – DoD.

Data Flow: New Sample processor and more flexible Aggregate and Qlik processors

A new Sample processor is now available as part of Data Flow in Qlik Cloud Analytics, helping you generate smaller, focused datasets for testing, exploration, or machine learning. It supports flexible no-code sampling methods, including first rows, random ratio, fixed number of random rows, and stratified sampling.

Sample processor

Additional processor improvements include:

• Aggregate processor: Simplifies multi-field configurations for both aggregation and group by. Also supports aggregations without a group by field.
• Qlik script processor: Provides an improved, guided experience for writing embedded scripts in a data flow. You can now select from available tables, fields, and functions, access inline guidance with direct links to Qlik Help, and use a convenient toolbar for undo, redo, search and replace, toggling autocomplete hints, and including reusable scripts.

Data flow processors

DATA INTEGRATION

Expanded authentication and encryption options for Amazon S3 target

The Amazon S3 target connector has been enhanced with new authentication and encryption capabilities. Complementing the existing Key Pair and AWS PrivateLink access options, the new IAM Roles Anywhere and IAM Roles for EC2 options enable organizations to securely access their AWS resources, without the need for long-term credentials. Data security is further strengthened with server-side encryption using either Amazon S3–managed keys or AWS KMS–managed keys.

Setting Amazon S3 connection properties

Expanded validation capabilities for rules

• Validation rules now support more expressive conditions, enabling stricter and more precise data checks.

  What’s available

  This release introduces two new capabilities to validation rules:

  • Matches pattern operator: You can now validate text fields using regular expressions through a new matches pattern operator. Currently available in pullup, with pushdown support coming soon. This operator relies on the CEL matches string method and follows the RE2 standard. A negation version of the operator is also available.
  • Closed lookup reference values: You can now define a fixed list of allowed reference values directly within a validation rule. These values are scoped to the rule itself and are not reusable across other rules. A negation version of the operator is also available.

  Why this matters

  These enhancements make validation rules more expressive and self-contained, allowing teams to enforce stricter constraints on text formats and accepted values while keeping rule definitions clear and easy to manage.

  Working with validation rules

Updated API – Resume Replication tasks using the Data integration projects API

The Data Integration projects API has been updated to support the Replication task ‘Advanced run options’ available from the user interface.

Users now can restart processing changes in a replication task:

• From a certain timestamp (date and time)
• From a specific position (SCN or LSN)
• Recover from a locally stored checkpoint.

Updated API – Resume Replication tasks using the Data integration projects API

API: Start a project task

External datasets from file-based sources

Building on the connection-based datasets foundation, Qlik Cloud now supports creating external datasets from file-based cloud sources, expanding beyond the ODBC connections introduced in the previous release. You can now catalog data directly from the same file connectors Qlik Cloud Analytics supports — including Amazon S3 (v1 and v2), Azure Storage, Dropbox, Google Cloud Storage, Google Drive and Spreadsheets, Office 365 SharePoint, OneDrive, SFTP, and Direct Access Gateway file paths.

The new experience lets you select multiple files and folders, define table format settings during dataset creation, and even apply those settings across all selected tables. Supported file formats include Excel (.xls, .xlsx), CSV / TXT, JSON, XML, QVD / QVX, Parquet, and KML.

This enhancement broadens Qlik data catalog coverage, making it easier for users to register and govern datasets from their existing file-based pipelines. The feature is enabled for all customers across all license editions via a rollout flag.

Data quality for connection-based datasets

……. … ………… ….

• Qlik Cloud November 2025: what’s new – read here.
• Qlik Cloud October 2025: what’s new – read here.
• Qlik Cloud September 2025: what’s new – read here.
• Qlik Cloud August 2025: what’s new – read here.
• Qlik Cloud July 2025: what’s new – read here.
• Qlik Cloud June 2025: what’s new – read here.
• Qlik Cloud April-May 2025: what’s new – read here.
• Qlik Cloud March 2025: what’s new – read here.
• Qlik Cloud February 2025: what’s new – read here.
• Qlik Cloud January 2025: what’s new – read here.

Any questions please contact our consultants. Responding in one working day.

What's New in Qlik Cloud