Qlik Cloud Release Notes

Last updated: Feb 20, 2026

  • Feb 19, 2026
    • Date parsed from source:
      Feb 19, 2026
    • First seen by Releasebot:
      Feb 20, 2026

    Qlik Cloud by Qlik

    New script and chart functions

    Qlik adds five new script and chart functions to streamline loads and geo data validation: Quarter, MakeGeoPoint, MakeGeoLine, MakeGeoPolygon, and MakeGeoRegion. The upgrade boosts scripting and charting capabilities with phased rollout in some regions.

    February 19, 2026

    New script and chart functions

    Five new functions are available in the Qlik analytics engine, helping to simplify load scripts and align to common functions present in other popular languages.
    These functions can be used in load scripts and chart expressions.

    • Quarter: Return the quarter of a date as an integer between 1 and 4.
      • quarter Script and chart function
    • MakeGeoPoint: Validate geographic data in JSON and confirm the data is an array with two numbers.
      • MakeGeoPoint Script and chart function
    • MakeGeoLine: Validate geographic data in JSON and confirm the data is an array with points.
      • MakeGeoLine Script and chart function
    • MakeGeoPolygon: Validate geographic data in JSON and confirm the data is an array with lines.
      • MakeGeoPolygon Script and chart function
    • MakeGeoRegion: Validate geographic data in JSON and confirm the data is an array with polygons.
      • MakeGeoRegion Script and chart function

    Some functionality may be rolled out in phases and not immediately available in all regions.

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  • Feb 12, 2026
    • Date parsed from source:
      Feb 12, 2026
    • First seen by Releasebot:
      Feb 13, 2026

    Qlik Cloud by Qlik

    Spot potential bias during training with Qlik Predict

    Qlik Predict now surfaces bias signals during model training, helping you spot imbalanced groups and proxy features before deployment. Pick features to evaluate and view clear flags and metrics in the training summary. It reports signals without altering data or models for safe, informed decisions.

    February 12, 2026

    Spot potential bias during training with Qlik Predict

    Qlik Predict now surfaces bias signals during model training so you can identify data and feature patterns that may lead to unfair or unreliable predictions, before you deploy your model.

    Choose which features to evaluate, then review clear flags and metrics directly in the training summary. Insights include signals such as imbalanced groups and potential proxy features, helping you validate whether a feature may be acting as a stand-in for sensitive attributes.

    Qlik Predict bias detection does not automatically modify your data, features, or model. It only reports detected signals, so you can decide what action—if any—to take before deployment.

    Detecting bias in machine learning models

    Not supported in Qlik Cloud Government.

    Not supported in Qlik Cloud Government - DoD.

    Some functionality may be rolled out in phases and not immediately available in all regions.

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  • Feb 12, 2026
    • Date parsed from source:
      Feb 12, 2026
    • First seen by Releasebot:
      Feb 13, 2026

    Qlik Cloud by Qlik

    Rich text editor for data products documentation

    February 12, 2026

    Rich text editor for data products documentation

    You can now document data products using a rich markdown editor, enabling clear, structured, and link-enhanced readmes that help consumers quickly assess suitability and usage. Existing readmes are seamlessly supported, and exported documentation now includes the fully formatted readme.

    Documenting a data product

    Some functionality may be rolled out in phases and not immediately available in all regions.

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  • Feb 12, 2026
    • Date parsed from source:
      Feb 12, 2026
    • First seen by Releasebot:
      Feb 13, 2026

    Qlik Cloud by Qlik

    Now in Qlik Cloud Government: Dynamic reload engines for all reloads

    February 12, 2026

    Now in Qlik Cloud Government: 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.

    Now supported in Qlik Cloud Government.

    Now supported in Qlik Cloud Government.

    Now supported in Qlik Cloud Government - DoD.

    Now supported in Qlik Cloud Government - DoD.

    Some functionality may be rolled out in phases and not immediately available in all regions.

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  • Feb 12, 2026
    • Date parsed from source:
      Feb 12, 2026
    • First seen by Releasebot:
      Feb 13, 2026

    Qlik Cloud by Qlik

    Manual compute environment selection for applications

    Qlik Cloud adds manual compute environment selection for analytics apps, letting you set a minimum engine size to guarantee CPU and memory for large or compute‑intensive workloads. Automatic placement remains, but you can override for predictable, enterprise‑grade performance. Availability may roll out in phases.

    February 12, 2026

    Manual compute environment selection for applications

    Qlik Cloud now lets you define a minimum dedicated compute environment size for analytics applications, giving you greater control over performance for large or compute-intensive apps.

    While Qlik continues to automatically place applications on the best available engine, you can now override placement by setting a minimum engine size to ensure consistent CPU and memory resources when needed. This is ideal for complex visualizations, performance tuning, and critical business applications.

    Use the app performance evaluation tool to compare application responsiveness across engine sizes and validate whether larger engines deliver measurable performance improvements.

    Manual assignments consume Large app capacity and are currently supported via API.

    More control. Predictable performance. Enterprise-ready scalability.

    Assigning engines to improve app performance

    Some functionality may be rolled out in phases and not immediately available in all regions.

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  • Feb 10, 2026
    • Date parsed from source:
      Feb 10, 2026
    • First seen by Releasebot:
      Feb 10, 2026

    Qlik Cloud by Qlik

    Qlik Answers agentic experience

    Qlik Answers launches agentic AI that blends frontier LLM reasoning with the Qlik engine and unstructured data for a unified insights experience. Access insights and charts through apps or assistants, with built‑in help. Enable AI Features in Administration Settings; phased rollout in some regions and Gov variants.

    February 10, 2026

    Qlik Answers agentic experience

    Qlik Answers now brings together the reasoning power of frontier LLMs, the Qlik associative engine, and our powerful unstructured knowledge bases into one unified experience through agentic AI.

    Access through your applications to gather insights or create charts. Create and access through your assistants to bring together structured and unstructured insights.

    The Qlik product help agent will always be there to help you get the most out of the platform.

    Get started by turning on AI Features in Administration > Settings.

    Not supported in Qlik Cloud Government.

    Not supported in Qlik Cloud Government - DoD.

    Qlik Answers

    Enabling cross-region data processing

    Some functionality may be rolled out in phases and not immediately available in all regions.

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  • Feb 10, 2026
    • Date parsed from source:
      Feb 10, 2026
    • First seen by Releasebot:
      Feb 10, 2026

    Qlik Cloud by Qlik

    New Direct Access gateway version (1.7.11)

    Direct Access gateway 1.7.11 unlocks new ODBC enhancements and DSN controls plus delimited table name support for easier data loading. It adds detailed error messaging, dynamic process isolation, smarter logging, faster async commands, and Qlik telemetry improvements with phased rollout.

    February 10, 2026

    New Direct Access gateway version (1.7.11)

    Direct Access gateway 1.7.11 introduces both new and enhanced features, and resolves several issues. For upgrade instructions and a list of resolved issues, see Upgrading the Direct Access gateway installation

    ODBC (via Direct Access gateway) connector enhancements

    Newly exposed configuration settings

    The following settings, which previously could only be figured by manually editing a configuration file have now been exposed in the Gateway settings for dialog:

    • Allowing only specific DSNs
    • Allowing only specific drivers
    • Custom data type mapping
    • Support for delimiting table names

    Some data sources require table names with upper case letters or special characters to be delimited in the load script. Otherwise, an error will occur. The new Delimit table names option eliminates the need to manually add delimiters to the load script when loading or previewing data.

    For details, see Create an ODBC (via Direct Access gateway) connection.

    Exposing the parameter for getting detailed error messages when using ODBC sources

    Due to security concerns, the default error message returned by the ODBC driver contains minimal information. However, in certain scenarios, you might need more information to troubleshoot a specific issue. Previously this required adding the ShowErrorDetailMessage property to the Advanced section in the connector dialog and setting it to True. Now, you can select the Show detailed error message check box in the Gateway settings dialog.

    For details, see Show detailed error message.

    Support for changing the process isolation settings without restarting the gateway service

    In previous versions, any changes to process isolation settings such as increasing the number of processes during a reload required the gateway service to be restarted. Now, changes to these settings will be applied without needing to restart the gateway service.

    Logging improvements

    • Reduced excessive logging when AGENT_LOG_LEVEL=DEBUG and AGENT_LOG_OPTIONS are not set.
    • The connector-agent logs for file connector reloads now show the actual AppId instead of AppId=dummyDocId.

    Enhanced async command support

    Async command support increases efficiency by enabling Direct Access gateway to handle multiple commands (requests) simultaneously, as opposed to one at a time. In the past, when the destination command pod on Qlik Cloud was not available to handle a request, Direct Access gateway would continue sending the request to the same pod instead of failing. This would cause the command to fail after 10 attempts, with a generic error instead of pointing to the actual cause of the failure.

    Qlik telemetry

    A UserAgent header has been added to all connector-agent command responses (via HTTP POST). This will improve tagging of Direct access gateway usage in Qlik telemetry.

    Header format:
    qlik-direct-access-gateway/version

    Example:
    qlik-direct-access-gateway/1.7.10

    Some functionality may be rolled out in phases and not immediately available in all regions.

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  • Feb 10, 2026
    • Date parsed from source:
      Feb 10, 2026
    • First seen by Releasebot:
      Feb 10, 2026

    Qlik Cloud by Qlik

    Qlik MCP server

    Qlik MCP server lets AI tools like Claude and ChatGPT access trusted Qlik data with existing governance, enabling cross-region data processing for Qlik Cloud Government and DoD. Quick admin setup shows how to connect and deploy for grounded AI responses.

    February 10, 2026

    Qlik MCP server

    Use trusted Qlik data directly in your favorite AI tools (such as Claude and ChatGPT) — with the same governance and Section Access you use today.
    Your AI can now find the right application and data in your tenant, then let Qlik handle the calculations in engine so responses stay grounded in your trusted data.
    Qlik MCP server is supported for Qlik Cloud Government and Qlik Cloud Government - DoD.

    To get started (Tenant Admin required for first connection):

    • Go to Administration > Settings.
    • Turn on Cross-region data processing under AI Features in Qlik.
    • Follow the setup guide in Deploying and administering Qlik MCP server.

    Enabling cross-region data processing

    Some functionality may be rolled out in phases and not immediately available in all regions.

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  • Feb 10, 2026
    • Date parsed from source:
      Feb 10, 2026
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      Feb 10, 2026

    Qlik Cloud by Qlik

    Introducing the new Qlik Account profile page

    Qlik launches a redesigned Account profile with a simpler UI, easy profile edits, and a new Security tab for password resets and MFA enrollment. Some features may roll out by region.

    February 10, 2026

    Introducing the new Qlik Account profile page

    We've redesigned the Qlik Account profile page with an improved user interface that makes managing your account easier than ever. Update your profile details seamlessly, and enjoy better organization with our new Security tab—your central hub for password resets and multi-factor authentication enrollment.

    Ready to explore the new experience? Visit My Qlik to access your updated profile page today.

    Profile page.

    Security page.

    Editing profile details.

    Editing your user profile

    Some functionality may be rolled out in phases and not immediately available in all regions.

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  • Feb 10, 2026
    • Date parsed from source:
      Feb 10, 2026
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      Feb 10, 2026

    Qlik Cloud by Qlik

    Introducing our new Kafka target connector: Seamless data replication at your fingertips!

    Introducing a new Kafka target connector that enables real time data replication from any source to on‑prem Kafka or Amazon MSK with low latency and simple setup. Requires Data Movement gateway 2025.5.40+ for on‑prem or MSK access via VPC. Some features may roll out by region.

    February 10, 2026

    Introducing our new Kafka target connector: Seamless data replication at your fingertips!

    Unlock the power of real-time data integration with our Kafka target connector. Effortlessly replicate your data from any supported source directly into on-premises Apache Kafka or Amazon MSK, ensuring reliable, fault-tolerant transfers that keep your applications agile and informed. Whether you're maintaining data consistency across systems or fueling analytics, this connector delivers low-latency replication with minimal setup.

    Replicating to Kafka on-premises requires Data Movement gateway 2025.5.40 or later. Replicating to Amazon MSK only requires Data Movement gateway 2025.5.40 or later if it cannot be accessed directly from Qlik Cloud (for example, if it's located in a VPC).

    Kafka target

    Setting up Data Movement gateway

    Some functionality may be rolled out in phases and not immediately available in all regions.

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