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Qlik Dropbox connectors: Deprecation of long-lived access tokens

Hello Qlik admins and developers, Previously, the Dropbox API used only long-lived access tokens. These long-lived access tokens have been deprecated ... Show More

Hello Qlik admins and developers,

Previously, the Dropbox API used only long-lived access tokens. These long-lived access tokens have been deprecated since the fall of 2022, and only short-lived access tokens are created. Long-lived tokens remain usable for existing authentications.

The Qlik Dropbox connectors have maintained the use of long-lived access tokens, and it is now time to deprecate these tokens and remove them. We aim to end support for long-lived tokens by October 31, 2025.

What action do I need to take?

Re-authenticate to avoid interruption.

You will not have to take action for connection definitions created in Qlik products released from 2023 and onwards, and which were created or re-authenticated after 2022.

This is applicable to the following scenarios:

Qlik Sense: Client Managed and Qlik Cloud
- Dropbox file location connector
- Dropbox Metadata connector
Qlik Web Connector Standalone
- Qlik Dropbox Connector

If you are using a long-lived access token in a Dropbox connection definition, you must follow the steps below to re-authenticate. This can be done proactively at any time, which will avoid the connections from breaking.

What if I do not re-authenticate in time?

Your connections will stop working once the long-lived access token expires. You can still re-authenticate in the same way at a later time; your connection will be repaired, and your reloads will work again.

Is there some way for me to identify the connections?

Unfortunately, there is no indication showing which type of token is used. However, if you are not sure when the connection was created or last re-authenticated, there is no harm in re-authenticating, regardless of whether it is necessary or not.

How to re-authenticate in Qlik Sense: Client Managed and Qlik Cloud

To re-authenticate the Dropbox connectors in Qlik Sense, update the connection within the Data load editor, then select Authenticate and follow the on-screen process to retrieve a new Authentication Code. Verify and Save the connection when done.

How to re-authenticate the Qlik Web Connector: Standalone

Re-authenticate via the CanAuthenticate table by selecting to Clear the current Authentication Token, and then Authenticate to get a new Authentication Token. Save and Run when done.

Additional recommendations

While performing this review of your Dropbox connection definitions, it may also be an opportunity to remove any redundant connection definitions not in use.

If you have any questions, we're happy to assist. Reply to this blog post or start a chat with us.

Thank you for choosing Qlik,
Qlik Support

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Support Updates

Deprecation Notice: Qlik Reporting block transition required for February 25, 20...

Several Qlik Reporting blocks will be deprecated on February 25th, 2026. Automation developers will notice the following blocks reflecting their depre... Show More

Several Qlik Reporting blocks will be deprecated on February 25th, 2026. Automation developers will notice the following blocks reflecting their deprecated status:

Get Chart Image (Deprecated)
Get PixelPerfect (Deprecated)
Get Tabular Report (Deprecated)

What does this mean for me?

Review if you have any of the deprecated blocks in use and update them to their new variants as soon as possible.

When updating the blocks, automation developers should note that there are changes to the error handling between the corresponding blocks.

Refer to the API specifications Response 200 > application/JSON for results and reasons deprecation status.
Any exception management logic will need to be adjusted in line with the API specifications as documented in Get report request outputs

If you have any questions, we're happy to assist. Reply to this blog post or take your queries to our Support Chat.

Thank you for choosing Qlik,
Qlik Support

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Explore Qlik Gallery

Port Congestion

Port CongestionLogistics PlusThis application pulls the time, in days, to unload / load containers at ports across North America. This data model incl... Show More

Port Congestion

This application pulls the time, in days, to unload / load containers at ports across North America. This data model includes the Ton Equivalent Units (TEU's) that have been moved and estimates how much will be done and how long it will take in the future.

Discoveries

We uncovered the true time it takes to move goods through ports.

Impact

We can improve deliverable timelines by utilizing both the historic and estimated future discharge times.

Audience

Our audience is both the operations group within LP and the LP customers who move goods through these ports.

Data and advanced analytics

We have improved our communication of deliverables and our timeliness reporting.

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Product Innovation

What's New in Qlik Replicate November 2025: Expanding Connectivity, Accelerating...

As part of our ongoing commitment to our client-managed solutions, we are thrilled to announce the General Availability of Qlik Replicate November 202... Show More

As part of our ongoing commitment to our client-managed solutions, we are thrilled to announce the General Availability of Qlik Replicate November 2025! This release is centred on increasing the velocity and fidelity of your data pipelines, expanding our footprint in cloud ecosystems, and delivering critical governance and automation enhancements. For data architects and pipeline engineers, these updates ensure your real-time data strategy is future-proof and enterprise-ready.

This release delivers the value of Microsoft Fabric Open Mirroring for seamless cross-platform data sharing, improvements in Databricks and Azure ADLS integration, and expanded opportunities with new data type support for greater customer ROI.

Here is a breakdown of the key innovations and why they matter for your data integration strategy.

New and Enhanced Endpoints

This release significantly expands Qlik Replicate’s ability to connect to and handle modern data sources and targets, ensuring you can replicate data wherever it needs to be.

Microsoft Fabric Endpoint - Open Mirroring Support: The new Mirrored Database option is now available for the Microsoft Fabric target. This new method leverages the Open Mirroring API to ingest data into Fabric tables. It’s a low-cost, low-latency solution that helps bring data from various systems into a single analytics platform. Early customer feedback shows this can dramatically reduce end-to-end latency by 90%. You can read more about this exciting news in my blog, Qlik + Microsoft Fabric Open Mirroring: The Fast Track to Real-Time Data Intelligence

Unified Snowflake Target Migration: All legacy Snowflake endpoints will be automatically merged into the new Unified Snowflake target endpoint upon upgrade.
Parallel Load Support: The Parallel Load feature is now supported for the Databricks Lakehouse (Delta) target, with files being loaded in batches for improved performance and reduced costs. Parallel Load support is also added for the SingleStore target, helping manage large tables.
Metadata on Table Creation for Azure ADLS Target: A new option for creating a metadata file on table creation is now available for the Azure ADLS target. This file contains the task and table structure, which is useful for preparing downstream applications, such as when running a task in "Metadata only" mode.
Expanded Semi-Structured Data Support: The JSON data type is now supported for Teradata target and Amazon Redshift target. XML data type support has been added for PostgreSQL targets and IBM DB2 for z/OS source.
Multi-Member Table Support for IBM DB2 for iSeries: Full Load has been improved from only reading the default member with the ability to now replicate all members (partitions) of an IBM DB2i source table.
SAP HANA Trigger-Based Full Record Mode: The Full Record Mode for HANA Trigger-Based CDC is now Generally Available (GA). This mode stores the full change history in a shadow table, reducing load on the SAP HANA database. This provides soft deletes on the target and improved latency calculation.
New Platform and Endpoint Certifications: This update includes support and certification for key new versions:

Platform: Windows Server 2025.
Endpoints: Kafka v4, MongoDB source 8.x, SAP Sybase ASE 16.1, MySQL 8.4 (for non-Aurora).
Drivers: PostgreSQL 17, ODBC SQL Server 18.5, MySQL 8.4.

DDL History Control Table: The DDL History control table is now supported on expanded target endpoints, ensuring complete schema change tracking.

Security

Enhanced Endpoint Connection Security: The new Unified Snowflake target endpoint supports connecting via a proxy server to the Snowflake database, to the external storage, or both. This is a critical feature for compliance in environments with strict network security policies.

Qlik Enterprise Manager Enhancements

Qlik Enterprise Manager is bundled with Qlik Replicate to provide a single-pane-of-glass view across multiple Replicate servers for monitoring, operations and maintenance. Qlik Enterprise Manager November 2025 enhancements introduce advanced automation and monitoring capabilities, streamlining the management of large-scale replication environments.

New PatchTask API: We’ve added a new API “PatchTask” for changing the settings of existing tasks. This API is supported across REST, .NET, and Python. This enables IT teams to programmatically modify settings such as Target Metadata, Full Load Tuning, Error Handling, and Change Processing Mode.

Additionally, if you wanted to create a new task, you could now achieve this by first running the existing CloneTask API and then using the new PatchTask API to modify the cloned task settings.

Intelligent Notification Suppression: Further to adding this capability in Qlik Replicate May 2025, this is now also available in Qlik Enterprise Manager. Suppressing task notifications based on conditions and event duration reduces alert fatigue and focuses attention on critical issues.

Suppression Conditions include checking if the last notification was sent recently, if the Error message contains a specific text, if the Task is still trying to recover, or if custom expression criteria are met.
Event Duration Suppression prevents transient spikes from triggering alerts by notifying you only if excessive latency, memory utilization, or disk utilization lasts longer than a specified time.

The November 2025 release of Qlik Replicate and Qlik Enterprise Manager provides the speed, flexibility, and operational efficiency needed to accelerate your data modernization efforts. We encourage you to upgrade and take advantage of these powerful new capabilities!

As always, each new release is fully supported for two years. To check the status of support for your currently installed version, please see the relevant product lifecycle pages.

We hope you enjoy using Qlik Talend Data Integration & Quality products and would love to hear your feedback and success stories, especially in any improvements you achieve.

To get the latest versions, please visit the Downloads and Release Notes section on Qlik Community.

To learn more about what is included in these releases, be sure to check out the Release notes, which are available here

To obtain any of these releases, go to the Qlik Downloads Site in the Community and filter “Product Category” by “Qlik Data Integration”, and then select the product and the versions you would like to download.

Note: For most products, selecting “Latest release and patch” under the “Show Releases” should be enough.

If required, you can filter further by selecting the latest “Release” and/or Service Release (SR) version under “Release Number”.

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Support Updates

Introducing Multivariate Time Series for Qlik Predict: Forecast complex, connect...

Most forecasts fall short because they treat drivers in isolation. Multivariate Time Series in Qlik Predict™ models interconnected factors like promot... Show More

Most forecasts fall short because they treat drivers in isolation. Multivariate Time Series in Qlik Predict™ models interconnected factors like promotions, weather, and costs, so forecasts reflect real-world complexity. Analysts can build no-code models in minutes, explain results with SHAP transparency, and trigger proactive actions through Qlik automations. With governance and MLOps built in, models stay trusted and enterprise-ready. Fully embedded in Qlik Cloud, Multivariate Time Series turns analysis into action faster than standalone AutoML tools that stop at raw predictions.

Key Benefits

Plan with Confidence
Multivariate forecasting captures the effect of multiple drivers, so decisions reflect the complexity of real markets and operations.
Build Trust in Predictions
Transparent explanations of drivers make it easy to communicate insights and secure stakeholder buy-in.
Act Faster
Real-time alerts and automations help teams adjust pricing, inventory, staffing, or strategy before issues escalate.
Empower Every Analyst
A no-code interface gives business users the ability to build, test, and share forecasts without waiting on scarce data science resources.
Stay Governed and Ready
Built-in MLOps ensures models are monitored, approved, and version-controlled for enterprise reliability.

Features

High-Performance Forecasting
GPU-accelerated multivariate models with automated tuning deliver fast, scalable results across large datasets.
Explainable AI
SHAP-based insights reveal the drivers of each forecast at both record and aggregate levels, making predictions transparent and actionable.
Interactive Scenario Testing
Live “what-if” sliders in Qlik Cloud let analysts explore potential outcomes and stress-test decisions before acting.
Built-In Governance
Enterprise MLOps includes drift monitoring, version control, and approval workflows to ensure reliable, compliant forecasting at scale.
Seamless Qlik Integration
Predictive insights embed directly into Qlik Cloud dashboards and automations, turning analysis into immediate action.

Ready to learn more?

Thank you for choosing Qlik,
Qlik Support

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Support Updates

Watch Q&A with Qlik: Analytics App Development

Don't miss our previous Q&A with Qlik! Hear from our panel of experts to help you get the most out of your Qlik experience. WATCH RECORDING HERE ... Show More

Don't miss our previous Q&A with Qlik! Hear from our panel of experts to help you get the most out of your Qlik experience.

WATCH RECORDING HERE

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Qlik Learning

Introducing the New Qlik Learning Catalog!

We’re excited to share that the Qlik Learning Catalog is now available—bringing all your learning resources together in one easy-to-navigate location.... Show More

We’re excited to share that the Qlik Learning Catalog is now available—bringing all your learning resources together in one easy-to-navigate location.

Explore our comprehensive library of self-paced courses designed to help you grow your expertise, whether you're creating impactful visualizations or managing complex system deployments. Access the Qlik Learning Catalog directly from the top navigation menu of Qlik Learning.

Use filters to quickly find the most relevant courses for your role or the products you work with. You’ll also be able to easily see which courses are free for all users and which require a learning subscription.

Start exploring today and continue building your Qlik skills with confidence!

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Product Innovation

Qlik Automate New Update

New: Concurrent runs for automations We are excited to share that Qlik Automate will now support concurrent runs, giving you more speed, scalability,... Show More

New: Concurrent runs for automations

We are excited to share that Qlik Automate will now support concurrent runs, giving you more speed, scalability, and flexibility when managing your automations in Qlik Cloud.

With concurrent runs, you can process multiple runs of the same automation in parallel, making it easier to handle high-volume workloads, event-driven workflows, or large-scale data operations that need to happen fast.

Key Benefits:

Performance: Run multiple automation instances simultaneously for faster throughput.

Scalability: Handle complex data operations or multiple input sources at once
Efficiency: Eliminates wait for queues and streamlines complex workflows

This functionality is being rolled out in phases and not immediately available in all regions.

This can be configured in the settings for each automation and globally in the Automations section in the Activity center. For more information, see the Settings section in Navigating the user interface.

See Qlik Automate in Action

Want to see how Qlik Automate helps teams connect data, orchestrate processes, and drive intelligent action?

Check out our new Qlik Automate overview video — a great introduction for anyone looking to get more out of their automation workflows.

Do More with Qlik with Mike Tarallo: Explore the 4-part series “Taking Action on Your Data” to see how Qlik Analytics and Qlik Automate combine to build intelligent, action-driven dashboards.

Part 1: Part 1 - Quick Demo - Taking Action On You..

Part 2: Part 2 - "Hello World" - Taking Action On ...

Part 3: Part 3 - Input Parameters - Taking Action ...

Part 4: Part 4 - Taking Action on Your Data - Full Basic Tu...

Livestream Recording: Livestream Fridays: Taking Action on Your Data

Recent Qlik Automate Update You May Have Missed

In case you missed them, here are a few Qlik Automate updates released over the past few months:

Automate Deployment of the Data Capacity Reporting App (Sept 30, 2025): New template to help you automatically deploy and refresh your capacity reporting app for daily usage insights and monitoring. Learn more.

Webhooks for Qlik Talend Cloud Pipelines (Sept 25, 2025): Tigger automations when pipeline tasks start, stop, complete, or fail—enabling monitoring and automated remediation. Learn more.

Reload Weights and Reload Variables (Sept 25, 2025): Gain more control over reload priorities and parameters with updates to Reload blocks. Learn more about reload weights here and reload variables here.

Block Search in Automation Editor (Sept 2, 2025): Quickly locate blocks, connectors, or comments with new search tool (Ctrl/Cmd + F).

Qlik Predict Connector Enhancements (July 15, 2025): New block lets you automate ML tasks like creating experiments, deploying models, and analyzing predictions. Learn more.

Other Helpful Resources on Qlik Automate:

Go From Data to Decisions: Automate Your Data and Analytics Workflows with Qlik E-book

Do More with Qlik: Taking Action on Your Data - Intro post

What’s New in Qlik Cloud | Qlik Help

Qlik Automate Product Tour

Qlik Automate | Qlik.com

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Explore Qlik Gallery

GitOqlok. Version control tool and time saver

GitOqlok (git time machine) is an easy-to-use tool for version control in Qlik Sense. Git + Qlik Sense integration. GitOqlok could retrieve your load ... Show More

GitOqlok (git time machine) is an easy-to-use tool for version control in Qlik Sense.
Git + Qlik Sense integration.

GitOqlok could retrieve your load script, serialize diagrams, master items, variables into JSON and store it in the GitHub/Gitlab/Bitbucket. So, you could revert to the previous versions of the application.

Also, you could easily share your Qlik Sense applications and code snippets with Qlik Community and your team.

Import and reuse objects from QS applications:
✔ sheets;
✔ variables;
✔ master items;

For instance, you could import Rob Wunderlich QlikViewComponents into any application by one click.

See more:

Qlik-Gallery-TEMPLATE.pptx.png

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Japan

【参加レポート】Qlik Luminary Meetup 2025 in Lund

初日は滞在ホテルでの Welcome Reception からスタートです。開催期間中は、CEO である Mike Capone もルンドに滞在し、ご挨拶としてこのミートアップの重要性を参加の皆様にあらためてお伝えしました。今年は、日本からはホンダ小川様、セガ萬様の2名にご参加いただきました。Q... Show More

初日は滞在ホテルでの Welcome Reception からスタートです。開催期間中は、CEO である Mike Capone もルンドに滞在し、ご挨拶としてこのミートアップの重要性を参加の皆様にあらためてお伝えしました。

今年は、日本からはホンダ小川様、セガ萬様の2名にご参加いただきました。Qlik からは CEO の Mike をはじめ、製品事業部トップの Drew Clark、Brendan Grady、製品開発チームなどが参加し、ロードマップや開発中の新機能の UI などを紹介しました。中でもオープンレイクハウス、エージェンティック AI、データプロダクトの重要性が強調されていました。午後は開発、ユーザー、パートナーによるワークショップとなり、次の製品デザインに向けてのフィードバックやアイディア出し、議論が行われました。

また、Qlik ユーザーである地元のアイスホッケーのチーム Redhawks の本拠地を訪問し、バックステージツアーと事例セッションが行われました。

このミートアップは、Qlik にとってユーザーからフィードバックを聞く貴重な機会です。同時にグローバルなユーザー同士の情報交換の場でもあり、多くのディスカッション、会話が生まれていました。

なお、Qlik Luminary の日本版である Qlikアドボケイトでは、引き続きメンバー募集中です。ご興味のある方はぜひお声がけください。

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Design

ValueLists, Match and Pick

One of the many things that I love about working here at Qlik, is that I am always learning something new. Let me show you something I learned recentl... Show More

One of the many things that I love about working here at Qlik, is that I am always learning something new. Let me show you something I learned recently while updating the CPG Market Analytics app. In the app I found this sheet:

This page is titled ‘How do we compare’ and shows five different gauges, each showing a different metric along with three ranges, and a reference line. The tick mark represents an average for the brand. So, the purpose of these visualizations is to show the values of each metric for Qlik_CPG, a manufacturer. I wanted to take these gauges to create a cleaner visualization, while also keeping and improving the capabilities of the originals by allowing users to compare the metrics of Qlik_CPG to other manufacturers.

So how can I do this?

After much debate and searching for inspiration, I decided upon a bullet chart. A bullet chart is kind of like a combination of a bar chart, and a gauge. It uses a bar within the chart to show progress toward a goal.

Unlike a bullet chart which requires both a measure and a dimension, our gauges only need a measure, but that is okay, we’ll be using a synthetic dimension to combine our gauges into a single dimension.

Here’s how:

We’ll start with the dimension. Bullet charts only allow for one dimension to be used, so we can use the ‘ValueList’ function to display multiple metric names. Our dimension will look like this:

The ValueList() function creates a synthetic dimension that allows you to define a list of values that Qlik treats like one dimension. So basically, “Hey Qlik, I want to create a dimension, here are the values.”

So, with our dimension taken care of, we’ll move to the measure. This is what our measure looks like:

A little more complicated, but easily explainable. Our expression can be broken down into three functions, ValueList, Match and Pick.

ValueList() creates a synthetic dimension inside the chart with the labels we want to show (e.g., Attractive Packaging, Creative Advertisement, etc.).

Match() takes the current ValueList() value and compares it to our list of labels, returning the position of the first match (1 for the first item, 2 for the second, and so on).

Pick() then uses that numeric position to return the Nth measure expression from our list of measures. In other words, the order of labels in Match() is aligned with the order of expressions passed to Pick(): label #1 maps to measure #1, label #2 to measure #2, etc.

This lets us pair each label with its corresponding calculation. For example, when Qlik evaluates the Attractive Packaging dimension value, the expression resolves to Avg({$<Manufacturer={'Qlik_CPG'}>}[Attractive packaging]). Each ValueList item is evaluated in the same way, with Pick returning the appropriate measure for that label. When we place this into a bullet chart with targets, ranges, and styling, we get a compact visual of performance vs target across multiple KPIs.

Now keep in mind; that as per our expression, we are only showing these values for one Manufacturer, ‘Qlik_CPG’, we’re missing out on the functionality of being able to compare Qlik_CPG with the other Manufacturers. To keep this functionality, we’ll add another bullet chart with the other manufacturers to compare our Qlik CPG metrics to.

Here is an expression for the second bullet chart:

Great! Now our comparison chart shows every Manufacturer, and we can put it side by side with our Qlik_CPG chart to compare!

Maybe we want to be able to compare our Qlik_CPG metrics against the metrics of selected Manufacturers instead of all of them at once, adding a Filter Pane with the Manufacturers field will allow us to do just that.

To make things even better, we can go into our second bullet chart and make a dynamic title to show which manufacturers we’re showing in our chart. That expression for the Title will look like this:

This just says, “If we don’t have any selections for Manufacturer made, just title the chart ‘All Brands’ but if we do have a Manufacturer selected, name the chart those selections”.

So now we have taken our sheet, and gave it a whole new look that is much more concise and cleaner, while learning about the Pick, Match and ValueList functions.

Did you learn something through this article? Do you think the updated sheet looks better than the original? What would you do differently? How do you plan to use these functions in your own sheets? Leave your ideas in the comments below!

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Product Innovation

Dynamic Engine now powers Talend Data Services & Camel Routes, at scale!

With this release, organizations running API and Route workloads that were previously restricted to “Remote Engines” (Gen1) can now seamlessly deploy,... Show More

With this release, organizations running API and Route workloads that were previously restricted to “Remote Engines” (Gen1) can now seamlessly deploy, manage, and run all use cases at scale on Dynamic Engine - while enjoying the benefits of container-native infrastructure, advanced scaling, and zero downtime operations

Full Feature Parity & Cloud-Native Advantages

Dynamic Engine now covers all Data Fabric use cases, including:

Data Integration (batch & real-time jobs)
Big Data workloads
Data Services (APIs)
Camel/ESB Routes

This achieves full parity with Remote Engine Gen1, while adding new strengths such as dynamic scaling options and simplified operations.

Feature Support	Remote Engine (Gen1)	Dynamic Engine
Data Integration	✅	✅
Big Data*	✅	✅
Data (API) Services	✅	🆕
(Camel/ESB) Routes	✅	🆕
Scaling options	⛔️	🆕

Lightning-fast, Frictionless Deployment

It has never been easier to build and deploy Data/API Services on Kubernetes, using Dynamic Engine:

Prepare your Engine: Set up Dynamic Engine environments in a few clicks, leveraging powerful Helm-based customization.
Build & Publish: Use Talend Studio to develop your Data Service or Route, then publish to Qlik Talend Cloud.
One-click Deploy: Deploy your API or route, request scaling, and monitor live - all inside Talend Management Console.
Observe & Control: Always-on monitoring at the replica and deployment level, with live metrics for troubleshooting.

You no longer have to script or configure parallel instances to handle uptimes or traffic peaks - Dynamic Engine takes care of orchestration and resource management automatically.

No-downtime, Always-on Workloads

One of the game-changers with Dynamic Engine is the modern, Kubernetes-native rolling update strategy. Whether you’re updating a Data Service, deploying a new version of a Camel Route, or simply scaling out the number of replicas, Dynamic Engine ensures:

Zero production downtime: The rolling update process keeps previous replicas serving traffic while new ones start, with smooth traffic handover.
No-disruption upgrades: Maintenance windows become obsolete. You can deploy updates or scale up during peak hours with confidence.
24/7 readiness: Your API and service workloads remain available, even when scaling or updating - critical for real-time and regulated workloads.

Here’s a step-by-step description of the rolling update process for deploying a new version of an API service in Dynamic Engine, as illustrated in the image

This diagram illustrates how Dynamic Engine performs seamless version upgrades using Kubernetes-native rolling updates:

Step 1: All replicas run the current version (v1), serving traffic normally.
Step 2: A new replica (v2) is added while v1 replicas remain active.
Step 3: One v1 replica is replaced with v2, maintaining uninterrupted service.
Step 4: All replicas now run v2, completing the transition with no service downtime.

Please note that disruptive changes in the API services (or Route) definition shouldn’t be re-deployed this way, as consumers may not request the older and newer API services using the same API contract.

Built for Scalability

Dynamic Engine introduces intelligent, configurable scaling for all workload types:

Static and Automatic scaling: Choose a static number of service replicas (greater or equal to one) or set automatic min/max rules based on resource utilization via HELM custom values.
Smart resource allocation: The engine intelligently provisions compute based on demand, even during peak periods.
Microservice deployment: Each service or route runs as an independent, isolated container, reducing resource contention and enabling efficient scale.

Seamless Transition – No Additional Subscriptions Needed

Best of all, Dynamic Engine’s expanded support for Data Services and Camel Routes is already available to all Qlik Talend Cloud and Talend Cloud customers - no changes in contract or subscription required. Simply set up your Dynamic Engine environment and start running API services at scale today.

In short: Dynamic Engine truly brings Talend’s API and data service runtime into the cloud-native era: no more legacy constraints, no more deployment headaches, no business downtime - just effortless, scalable, and reliable integration.

Are you an existing user? Your Cloud subscription already entitles you to all these features - start taking advantage of scale and zero-downtime now!

References

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Design

Quick and Easy Dashboard Makeover

The Original Let’s face it, the original dashboard was boring. It was just a plain, functional dashboard with no “Wow“ factor. My goal for this makeov... Show More

The Original

Let’s face it, the original dashboard was boring. It was just a plain, functional dashboard with no “Wow“ factor. My goal for this makeover was to add some character to the dashboard.

Step 1: Find a color palette

The color palette that I decided on was on the green scale. Here are the colors that I used:

Sheet Background: #3d6666

Chart Background: #578080

Font color: #ffffff

Step 2: Change the sheet background color

In Edit Sheet mode, click on the sheet background to open up the Sheet Properties panel
Select Styling from the Sheet Properties panel

Toggle off the Background – Auto icon to show Custom

Select the Background color dropdown and enter the hex code that you would like to use

Step 3 – Chart Styling

Much of the work is done this section. The way I approached this was to style one chart and then use the copy/paste style function to bring the other charts to life with the new chart properties.

Note: When copy and pasting styles between chart types, there may be some additional editing needed to update all the chart characteristics. I started with the Profitability by Clinician bar chart.

First, we need to change the bars to white by selecting it in the Properties Panel > Colors and Legends

Next, we need to edit the other chart properties by opening the Styling Properties

We make the changes in the General section first.
- Change the text color of the Title, Subtitle, and Footnote: #ffffff
- Change the background color to our new chart background color: #578080
- Change the color of the border to the sheet background color: #3d6666
- Change the corner radius to 7px
- Change the shadow to medium

We now need to make the same changes to the Chart section

Change the text color of the Axis Title, Axis Label, Value Label, Legend Title, Legend Label to #ffffff

Here is our new chart after the changes:

Next we need to copy/paste the new style to all of the charts by right clicking on the chart and selecting Copy Style.

Next, we right click on the chart where we want to paste the style and select Paste style

Once we update the characteristics of each chart, we will add grid containers to help us to layout each section of the dashboard and add in the corresponding charts to each section.

After all of the visualizations are added to the grid containers, we now have a new and improved dashboard.

Summary: With just some small changes to our color scheme and chart properties, we were able to completely transform our dashboard. With all the new features, chart types, and chart properties available to the Qlik Sense developer, the only limit to customizing a Qlik Sense app is your own imagination.

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Support Updates

Watch Q&A with Qlik: Qlik Open Lakehouse!

Don't miss our next Q&A with Qlik! Hear from our panel of experts to help you get the most out of your Qlik experience. WATCH RECORDING HERE ... Show More

Don't miss our next Q&A with Qlik! Hear from our panel of experts to help you get the most out of your Qlik experience.

WATCH RECORDING HERE

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【オンデマンド配信】金融 DX を加速！データ活用で実現する顧客体験と業務変革

デジタル変革が必須となった金融業界において、データ活用こそが競争優位性を確立する鍵です。本 Web セミナーでは、世界各国の有力金融機関が Qlik のデータ統合・分析プラットフォームを導入し、どのようにビジネスを変革したのか。以下のデータ駆動型経営の具体的な成果とその成功戦略について、深く解説しま... Show More

デジタル変革が必須となった金融業界において、データ活用こそが競争優位性を確立する鍵です。本 Web セミナーでは、世界各国の有力金融機関が Qlik のデータ統合・分析プラットフォームを導入し、どのようにビジネスを変革したのか。以下のデータ駆動型経営の具体的な成果とその成功戦略について、深く解説します。貴社の次なる DX 戦略のヒントとして、ぜひご活用ください。

基幹システムのデータ連携を劇的に高速化し、運用コストを削減
大量のデジタルデータをリアルタイムに処理する能力を獲得し、ビジネススピードが向上
全社共通の信頼できるデータ基盤を確立し、顧客へのパーソナライズを高度化
緊急時にも迅速な意思決定と顧客サポートを可能にする体制を構築

※ パソコン・タブレット・スマートフォンで、どこからでもご参加・ご視聴いただけます。

今すぐ視聴する

今すぐ視聴する

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Japan

【オンデマンド配信】分散データをつなぎ、現場の“いま”を見える化する

外食・ホスピタリティ業界では、POS・予約・在庫・人員など多様なシステムから膨大なデータが生成される一方、それらが分断されており、即時の経営判断や顧客体験向上を阻む要因となっています。本 Web セミナーでは、「分散データの統合による現場オペレーション効率化」と「リアルタイム分析による利益最大化」と... Show More

外食・ホスピタリティ業界では、POS・予約・在庫・人員など多様なシステムから膨大なデータが生成される一方、それらが分断されており、即時の経営判断や顧客体験向上を阻む要因となっています。
本 Web セミナーでは、「分散データの統合による現場オペレーション効率化」と「リアルタイム分析による利益最大化」という二軸から、Qlik × Talend による実践的アプローチを紹介。クラウド・オンプレ混在環境を前提に、データ統合ハブ構築からダッシュボード可視化、店舗別収益性や在庫最適化のユースケースまでを解説し、短期改善とデータドリブン経営の両立を実現する道筋を提示します。

※ パソコン・タブレット・スマートフォンで、どこからでもご視聴いただけます。

今すぐ視聴する

今すぐ視聴する

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Japan

Qlik Cloud 10月の新機能

分析の新機能モバイルアプリが Qlik Analytics に名称変更 Qlik Sense Saas モバイルアプリは Qlik Analytics に名称変更されました。同じアプリですが、Qlik Cloud Analytics プラットフォームの進化に合わせて名称が変更されました。 ... Show More

分析の新機能

モバイルアプリが Qlik Analytics に名称変更

Qlik Sense Saas モバイルアプリは Qlik Analytics に名称変更されました。同じアプリですが、Qlik Cloud Analytics プラットフォームの進化に合わせて名称が変更されました。

折れ線グラフへの画像の追加

折れ線グラフに、メディアライブラリまたはカスタム URL から画像を追加できます。データと文脈を結び付け直感的に理解を促すために、最大値や最小値を強調、急上昇や下降を強調、新製品発売日やキャンペーン開始日に画像を表示するなどのユースケースに使用できます。

棒グラフ、コンボチャート、散布図に図形を追加

特定の軸値を強調表示するポイントを追加したり、主要業績評価指標の最高点と最低点の間に線を描画したり、　４象限を表現することができます。

データフローのアップデート

ピボットプロセッサーが追加され、ノーコードで行から列へ変換できるようになりました。
ウィンドウプロセッサーにCount Distinct や Concatenate を含む新しい演算と、オプションのソートのサポートを追加しました。
日付プロセッサーの部分から日付を作成、部分から時刻を作成、部分から日付と時刻を作成が強化され、それぞれの部分に定数値を入力できるようになりました。

ドラッグアンドドロップでシートを公開と展開の保持

シート概要とシートセクションで、ドラッグすることで、シートの公開・非公開ができるようになりました。また、ビューの現在の展開状態は、ユーザーが変更するまで保持されます。

チャートの監視の強化

スペースや名前、タグを指定してチャートの監視を指定できます。比較する履歴の指定も行いやすくなりました。

多変量時系列予測

Qlik Predict に新たに多変量時系列予測モデルが加わりました。複数の時間ベース信号により、依存関係と相互作用を自動検出します。

アプリのアクセスリクエスト

権限のないアプリを開く場合に、アクセスをリクエストできるようになりました。

その他のアップデート

パブリック API でテナントごとの関連するコネクタを有効または無効にすることができます。
Qlik Answersの新たな検索機能強化により、より正確かつ迅速な回答提供が可能になりました。
Databricksコネクタの認証オプションが更新されました。

データ統合の新機能

Qlik Talend Cloud での検証ルールの提案

検証ルールを素早く作成できるように、Qlik Talend Cloud に新しい検証ルールの提案を導入しました。複数のフィールドにまたがるルールを含め、データセットに基づいて検証ルールを自動的に提案します。

使用にはQlik Talend Cloud Enterprise サブスクリプションが必要です。
提案の情報は顧客データとして扱われ、Qlik Cloud または GenAI モデルのトレーニングには使用されません。
この機能は生成人工知能 (GenAI) を使用します。提案内容は必ずしも正しくない場合があります。
GenAI 出力を使用または共有する前に、それを確認および検証し、その使用が特定のユースケースに適切かどうか、および適用法に準拠しているかどうかを評価することはユーザーの責任です。

その他のアップデート

変換フローの日付プロセッサは、柔軟性を高めるために、日時の精度（有効桁数）を調整できるようになりました。
レプリケーションまたはレイクランディングタスクを使用する場合、SaaS アプリケーションソースからの JSON データ型は、互換性のあるターゲットデータ型に自動的にマッピングされます。
Qlik Trust Score がデータ製品の概要画面に直接表示されるようになりました。ページの構造も改善しています。
データに関する検証ルールにおいて、新しい二項演算子を使用して、日付/時刻フィールドと期間を比較する検証ルールを作成できるようになりました。
各セマンティックタイプが適用されているデータセットの数を確認できるようになりました。

管理者向けの新機能

IP 許可リストによるセキュリティ強化

許可リストに、クラウドテナントへのアクセスを許可する IPv4 アドレスまたは範囲を指定し、クライアントが接続すると、システムはその IP を許可リストと照合します。IP が許可リストにあれば接続は許可され、なければ接続はブロックされます。これにより、テナントにアクセスできるネットワークを制御することで、セキュリティのレイヤーが追加され、テナントを不正アクセスから保護し、潜在的なセキュリティの脅威にさらされる機会を減らすことができます。

IPv4 アドレスのみサポートしています。

デュアルスタック IPv4/IPv6 ネットワーク:

クライアントが IPv6 を使用して接続した場合、許可リストが存在してもアクセスはブロックされます。クライアントが IPv4 を使用して接続する場合、IPv4 アドレスが有効な許可リストに含まれている場合のみ、アクセスが許可されます。

IPv6 専用ネットワーク

すべての接続がブロックされています。

組織でデュアルスタックまたは IPv6 のみのネットワークを使用している場合は、IP 許可リストを有効にしないでください。そうすると、IPv6 で接続するユーザーの一部またはすべてがブロックされます。

RFC1918 で定義されているプライベート IPv4 範囲はサポートされていません。

カスタムアナウンス

ニュースやアップデート情報、重要なお知らせなどを、Qlik Cloud 上に告知バナーを設定し、直接ユーザーと共有できるようになりました。

その他のアップデート

テナント内の SMTP メールサーバー構成で、送信者名を定義できるようになりました。
カスタムロールの設定により、Qlik Reporting Service のレポートアクションを実行できるユーザーを制御できるようになりました。
カスタムロールの設定により、Insight Advisor に対する権限を設定できるようになりました。
OAuth のスコープに、新たに Direct Access gateway に関する権限が追加されました。
Qlik Cloud がブラジルにテナントを持てるようになりました。

Client-Managed の新機能

Qlik Sense

November 2025 の Technical Previewが公開されました。
https://community.qlik.com/t5/Release-Notes/Qlik-Sense-Enterprise-on-Windows-Technical-Preview-for-November/ta-p/2532969

Qlik Replicate

November 2025 の Technical Previewが公開されました。
https://community.qlik.com/t5/Release-Notes/Qlik-Replicate-November-2025-Technical-Preview/ta-p/2533591

Qlik Enterprise Manager

November 2025 の Technical Previewが公開されました。
https://community.qlik.com/t5/Release-Notes/Qlik-Enterprise-Manager-November-2025-Technical-Preview/ta-p/2533592

Talend の新機能

Talend Administration Center

新しいコマンドが追加されました。

ogetServerIdByName ：サーバー名を使用してサーバー ID を取得
oupdateTaskParamsForExecute : タスク実行のための既存のJVMパラメータを更新

Talend Administration Center からランタイム管理コンソールが削除されました。

Talend Studio 8.0

共通機能

RESTサービス向けAPIドキュメントの有効化機能の追加
cLangChainMCPClient コンポーネントの追加：ルートが大規模言語モデル (LLM) を使用して MCP サーバーに接続し、通信が可能
API インポートウィザードの機能強化により、API デザイナーのリポジトリを反映
cLangChainTools コンポーネントでチャットメモリをアクティブ化

ビッグデータ

単一の Spark 3.x オプションで Databricks Spark 3.x ランタイムを統合的にサポート
tIcebergInput および tIcebergOutput での Databricks Unity Catalog のサポート

CI

Talend CI Builder のバージョン 8.0.24 へのアップグレード

データ統合

標準ジョブの DocumentDB コンポーネントに対する Amazon DocumentDB バージョン 5.0 のサポート

データマッパー

標準マップの MapValues 関数の自動マッピングのサポート
DSQL マップの式エディタにおける関数のドラッグアンドドロップの改善
DSQL マップのフラグメントエディターのインデントオプションのサポート

データ品質

データマートとしてのSnowflakeの認証方法のサポート(基本・キーペア・OAuth 2.0）

その他、不具合が修正されています。

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Design

New Series - Qlik Sense and Salesforce Working Together

Hi guys - I'm pleased to present to you a new video series that shows you how Qlik Sense and Salesforce work together. With so many companies ru... Show More

Hi guys -

I'm pleased to present to you a new video series that shows you how Qlik Sense and Salesforce work together.

With so many companies running multiple business systems, Qlik offers an alternative to data consolidation confusion by relating information within Salesforce and other enterprise systems for seamless visual analysis, dashboards and reports. Qlik can easily be accessed within Salesforce as a custom tab or as embedded Qlik graphs, tables, and charts within other Salesforce tabs. Alternatively, Salesforce data can be immediately integrated into a Qlik application via a native data connector to provide an unparalleled view into your business’ entire data.

Please take a few minutes to watch and learn. Enjoy!

Regards,

Mike Tarallo
Qlik

Follow me https://twitter.com/mtarallo - for instant Qlik updates and insights!

Part 1: Introduction

Part 2: Embedded Analytics Use Case Demo

Part 3: Qlik Sense Client & Other Features

Resources:

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Japan

今回は神回！🍁 実りの秋に学びと発見がいっぱいのQlikユーザーミートアップを開催しました！✨

秋晴れの10月28日（火）、お茶の水ソラシティにて、今年2回目となる—and 今年最後の—ユーザーミートアップを開催しました。なんと120名を超えるお申込みをいただき、会場はほぼ満席に！多くの方にご参加いただき、熱気あふれる会となりました。今回の司会はアドボケイトの中川様にお願いし、Lumi... Show More

秋晴れの10月28日（火）、お茶の水ソラシティにて、今年2回目となる—and 今年最後の—ユーザーミートアップを開催しました。なんと120名を超えるお申込みをいただき、会場はほぼ満席に！多くの方にご参加いただき、熱気あふれる会となりました。

Image (6).jpg

今回の司会はアドボケイトの中川様にお願いし、Luminaryで幹事を務める萬様の活動報告からスタートしました。

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まず、株式会社ディーエイチシー様より「Qlik Sense® オンプレ版活用事例とQlik Sense SaaS への移行」と題して、QVDやQlik NPrintingを活用した運用事例、そしてCloud移行によるQlik Automateの利用や、今後のAI活用についてご紹介いただきました。

Image (17).jpg

続いて、大日本印刷株式会社様からは「購買本部の挑戦：Qlik Sense® で進める業務改革とガバナンス強化」として、従来は個別にしか得られなかった各システムの情報をつなぎ購買業務を改革した取り組みや、実際のアプリ画面をご披露いただきました。

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その後、第5回 Qlik データソン入賞者による受賞アプリに関するパネルディスカッションを実施。
受賞アプリの工夫や裏側について、パネラーから多くの質問が寄せられ、開発者の方々が一つひとつ丁寧に回答してくださいました。

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マップが思わぬ形で使われていたり、SVGで緻密にコーディングされた画像や、実はシンプルな標準機能をうまく活用した斬新なUIなどが紹介されると、会場からは思わずどよめきが。
時間いっぱいまで質問が続きましたが、午後から The AI Reality Tour Tokyo 2025 が控えていたため、皆さん今半の牛肉弁当を楽しみながらディスカッションを締めくくりました。

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多くの事例やアプリのテクニックが共有され、学びと発見の多い充実した会になったと思います。

ご登壇者のみなさま、お疲れさまでした！

Image (13).jpg

そして、ご参加くださった皆さま、ありがとうございました！

楽しんでいただけていたらうれしいです。

当日の動画もお楽しみください！

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Support Updates

Qlik Cloud: Removing the deprecated Developer role and Enable API keys toggle

The following two items were deprecated in June 2025: Developer role Enable API keys toggle The deprecation notice was communicated in an Administ... Show More

The following two items were deprecated in June 2025:

Developer role
Enable API keys toggle

The deprecation notice was communicated in an Administration announcement and documented on our What's New in Qlik Cloud feed. See Developer role and API key toggle deprecated | 6/16/2025 for details.

Following the deprecation, the Developer role and the Enable API keys toggle will be removed in the coming weeks, in line with the original announcement, aiming for the end of 2025.

For more information, see Qlik Cloud: Removing the deprecated Developer role and Enable API keys toggle (November 2025).

If you have any questions, we're happy to assist. Reply to this blog post or take your queries to our Support Chat.

Thank you for choosing Qlik,
Qlik Support

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Recent Blog Posts

What action do I need to take?

What if I do not re-authenticate in time?

Is there some way for me to identify the connections?

How to re-authenticate in Qlik Sense: Client Managed and Qlik Cloud

How to re-authenticate the Qlik Web Connector: Standalone

Additional recommendations

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References

分析の新機能

モバイル アプリが Qlik Analytics に名称変更

折れ線グラフへの画像の追加

棒グラフ、コンボ チャート、散布図に図形を追加

データフローのアップデート

ドラッグ アンド ドロップでシートを公開と展開の保持

チャートの監視の強化

多変量時系列予測

アプリのアクセスリクエスト

その他のアップデート

データ統合の新機能

Qlik Talend Cloud での検証ルールの提案

その他のアップデート

管理者向けの新機能

IP 許可リストによるセキュリティ強化

カスタム アナウンス

その他のアップデート

Client-Managed の新機能

Talend の新機能

Talend Administration Center

Talend Studio 8.0

モバイルアプリが Qlik Analytics に名称変更

棒グラフ、コンボチャート、散布図に図形を追加

ドラッグアンドドロップでシートを公開と展開の保持

カスタムアナウンス