Qlik Cloud Updates & Release Notes

July 2, 2026

Request access to data products

Data consumers can now request access to data products directly from the data product marketplace when they lack the necessary permissions to access a dataset.

Previously, users who discovered a data product of interest but did not have the required connections or permissions — such as the ability to read a Snowflake table — had to manually identify the appropriate person in their organization to request access, causing delays and interruptions to their workflows.

With this new feature, users can submit an access request directly through the marketplace by completing a form that captures key details, including their name, job position, reason for the request, and the level of permission required. This enables organizations to streamline and customize their data access workflows, reducing the time data consumers spend waiting for access and improving overall productivity and data utilization.

Requesting access to spaces

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

July 2, 2026

Enriched and automated classification through semantic types

Qlik Cloud can now automatically detect and flag sensitive data based on semantic types, replacing purely manual sensitivity declaration. Classifications are then constantly applied across datasets, and fields not covered by a semantic type can still be classified manually. Users can also apply regulations directly at the dataset level when it applies. This information will surface automatically when activating a data product, ensuring consumers are aware of compliance requirements before a data product is visible on the marketplace for consumption.

Managing semantic types

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

July 2, 2026

Table Recipe: Data quality with semantic types

Table Recipe now has native data quality capabilities to detect, visualize, and fix invalid or inconsistent data. These capabilities make it easier to prepare clean, reliable datasets for analytics or machine learning, without leaving the no-code, spreadsheet-like interface.

Data type and semantic type discovery: Each column is automatically assigned a data type based on the data it contains. Data types include native data types such as integer, date, and text, as well as semantic types: predefined (email, phone number, postal code, country code, and more) or custom (dictionary-based, pattern-based, or compound). You can manually change the assigned type at any time from the column menu.

Column quality bar: Each column header displays a quality bar showing the proportion of valid (green), empty or null (black), and invalid (red) values.

Cell-level invalid value indicators: Cells containing invalid values are flagged in red.

Validity-based filtering: Click any segment of a column's quality bar to instantly filter rows by quality status (valid, invalid, or empty or null). Filters can also be applied from the column menu or the filter dialog.

Cleanse and contextual remediation suggestions: The Cleanse function lets you replace invalid, null, or empty values in a column. Table Recipe also surfaces relevant remediation suggestions, such as replace, clear or fill, based on detected invalid values, as well as conversion function suggestions based on the detected type.

Data quality features are available in both standalone table recipes and the table recipe processor in a data flow, and requires the data quality license entitlement (Qlik Cloud Analytics Premium and Enterprise, and Qlik Sense Enterprise SaaS).

Assessing the quality of the data

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

July 2, 2026

Table Recipe: Calculated column and Format number functions

Table Recipe adds calculated columns and number formatting, bringing more flexible data preparation logic into the no-code, spreadsheet-like interface.

Calculated column: Add a new column based on a Qlik script expression combining existing columns and functions. This lets you build more complex logic in a single recipe step, covering use cases that previously required scripting, with a built-in expression editor providing syntax highlighting, autocomplete, inline function guidance, and direct links to Qlik Help.

Columns functions

Format number: Change how numeric values are displayed using predefined or custom patterns, with configurable decimal and thousand separators. The Format number function is also added to the Numbers processor in Data Flow.

Numbers functions

When configuring a filter, a "Show more" button lets you load more value suggestions from the selected column.

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

July 2, 2026

Improved header column support for Open Lakehouse streaming tasks

Header columns are metadata columns (such as timestamp) that Open Lakehouse adds to every ingested record. We have introduced the following set of improvements to give more control over header column management:

Header column visibility is now configurable across streaming landing and streaming transform tasks.

In streaming transform tasks, a toggle controls whether header columns are hidden, shown for the current view, or shown for the history view.

The expression builder now surfaces landing headers making it easier to use in expressions.

A new setting also lets you expose the hdr__from_timestamp in the current view, enabling partition-based queries when partitioning by event ingestion date.

Showing header columns in views

Standard view headers

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

July 2, 2026

Microsoft 365 email provider now supports Cloud region selection in Qlik Cloud Government

Tenant administrators can now select a Cloud region when configuring Microsoft 365 as the email provider. This setting controls which Microsoft cloud endpoints are used for authentication and email sending.

Available for Qlik Cloud Government tenants.

Configuring email for reports and notifications

Qlik Cloud Government

Now supported in Qlik Cloud Government.

Now supported in Qlik Cloud Government - DoD.

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

July 2, 2026

Design, document, and test APIs in Qlik Cloud

API Designer is now available in Qlik Cloud, covering three key stages of the API development lifecycle: design, documentation, and testing. With an easy learning curve, users without API coding experience can design APIs and publish their documentation directly in Qlik Cloud.

The graphical interface lets you create OpenAPI Specification (OAS)/Swagger or RAML API definitions without learning the underlying syntax. Repository-based sharing supports team collaboration on API projects. Completed APIs can be implemented in Talend Studio and deployed.

Designing API contracts

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.

July 1, 2026

Full Stitch SaaS connectors catalog now available

The full Stitch SaaS connectors catalog is now natively integrated into Qlik Talend Cloud, giving you access to over 100 pre-built connectors for popular sources including Salesforce, Jira, Marketo, Zendesk, and more. SaaS application connectors now support Replication, Data pipeline, and Open Lakehouse use cases. While most SaaS application connectors are fully certified, some of them are classified as Lite, meaning they have been tested against a limited set of use cases.

For a list of supported connectors, see Supported SaaS applications. The list will constantly grow as more connectors become available.

Customers using Data Movement gateway who want to create new tasks with SaaS application connectors must upgrade to Data Movement 2025.11.66 or later.

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

July 1, 2026

Extensions and themes now show Not migrated after storage cutover

As part of the storage migration cutover, extensions and themes that were not migrated before June 30, 2026 are now marked Not migrated in the Administration activity center. These extensions and themes can no longer be migrated manually.

To retain access to these assets, re-upload them to the Qlik Cloud tenant or open an application with the theme and extension to trigger an auto-migration.

Uploading and managing visualization extensions

Uploading and managing themes

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

June 30, 2026

Declarative pipelines for Qlik Talend Cloud Pipelines

Declarative pipelines are now generally available in Qlik Talend Cloud Pipelines, introducing a new way of designing and configuring your pipelines in YAML format.

Published schemas power inline property documentation, auto-complete, and real-time validation, without leaving your editor. If you use VSCode, schemas can be automatically retrieved.

Natively integrated with GitHub, Declarative pipelines lets teams apply GitOps-style workflows including peer review, version control, and consistent promotion across environments.

Alongside the schema, you can check the validity of your YAML project structure using our new {{POST/api/v1/di-projects/utils/actions/validate-project-definitions}} API endpoint. This endpoint operate as a dry-run validation before you import the project in your tenant.

With the new YAML format, we're introducing another new API endpoint for project import. When importing YAML-based Zip folders, please use POST:/v1/di-projects/{projectId}/actions/import-async.

This release also ships with AI capabilities. Using Claude Code, GitHub Copilot, or any other agent of your choice, you can leverage the schemas and bundled instructions to generate schema-valid YAML, accelerating pipeline authoring from day one.

The legacy JSON format remains supported until end of June 2027, giving you time to plan and migrate your projects smoothly.

Declarative pipelines

Developer guide: Declarative pipelines

Video - Declarative pipelines

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

June 30, 2026

Qlik Replicate customers: Your path to Qlik Open Lakehouse starts here

Qlik Open Lakehouse now supports Qlik Replicate as a native source. Configure Replicate to land data to S3, simply set up an Open Lakehouse pipeline to onboard data from that bucket, and the pipeline handles the rest: optimized Apache Iceberg tables, optional SCD Type 2 history, and your replicated data is ready for any downstream query engine.

No changes to your Replicate deployment. If it's already landing CSV files to S3, Open Lakehouse can start reading them today.

Cut ingestion costs by up to 70%. If you're replicating data directly into Snowflake or another warehouse, you're paying warehouse-grade compute for ingestion. Open Lakehouse uses lightweight spot compute instead — so your warehouse only runs queries, not ingestion jobs.

Your data becomes open and interoperable. Once in Iceberg on S3, it's queryable by Snowflake, Databricks, Redshift, Trino, and any other engine — no lock-in.

Onboarding data from Qlik Replicate

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

June 30, 2026

OAuth Dynamic Client Registration

Tenant administrators can now enable Dynamic Client Registration (DCR) so compatible AI and MCP clients can automatically register as OAuth clients in Qlik Cloud. Tenant administrators must approve each registration before a client can gain access.

Learn how to set up and manage Dynamic Client Registration, see Configuring OAuth dynamic client registration.

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

June 30, 2026

Agentic tools for data quality, data products, and glossaries

You can now use purpose-built AI agents within Qlik Answers to find trusted data, define business meaning, evaluate quality, and shape data products. This means governed data moves faster into analytics, automation, and AI workflows.

What it includes:

• Data Quality Agent: Lets users get trust scores and data quality metrics, set or update data quality rules, define service-level goals, run calculations, and spot or report issues using natural language or MCP-enabled workflows.
• Documentation: Managing data quality with Qlik Answers
• Video: Data Quality Agent
• Data Product Agent: Helps teams create, manage, and govern trusted data products, making it easier to build, maintain, and use curated, AI-ready datasets for analytics and AI projects.
• Documentation: Managing data products with Qlik Answers
• Video: Data Product Agent
• Catalog and Business Glossary Agent: Helps users find data assets, standardize terminology, and connect business definitions to governed metadata, making things clearer for data teams, analytics users, and AI systems.
• Documentation: Managing business glossaries with Qlik Answers
• Video: Glossary Agent

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.

June 30, 2026

Agentic tools for Qlik Predict now available in Qlik Answers

You can now build, deploy, and run predictive models using natural language — no data science skills required. Predict lives inside Qlik Answers and lets you describe a business problem ("predict customer churn from this dataset") and get a trained model, deployed predictions, or plain-English insights back. It handles regression and classification problem types. If you are already using Qlik Predict, this removes the setup friction of configuring experiments manually. For everyone else, it puts a data scientist in your pocket.

Working with machine learning in Qlik Answers

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.

June 30, 2026

Application script lifecycle tools for Qlik MCP server

New Qlik MCP tools support the application and script lifecycle from your LLM client. You can create an application, inspect and update its load script, run a reload, and verify the results from status and logs. These tools support both guided authoring and automated workflows.

The new tools let you:

• Create applications and generate or retrieve script content.
• Retrieve, replace, and patch the application load script.
• Trigger, monitor, and cancel reloads, and retrieve reload logs.
• Inspect the resulting application data model.

Qlik MCP tools

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