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Turn insights into action... right inside your analytics!
As we wrap up the year and before everyone starts tying bows on projects, dashboards and wish lists, we wanted to add one more gift to the pile. Something that helps you move from insights to action faster, collaborate more easily, and keep your workflows flowing straight into the new year.
Unwrap Write Table, now available in Qlik Cloud Analytics.
Write Table is included with Premium, Enterprise, and Enterprise SaaS subscriptions. No add-ons or extra licensing required. You can find it in the Chart Library now.
A More Interactive Analytics Experience
Write Table introduces a new editable table chart that lets you update data, add context, validate decisions, and collaborate directly within your analytics apps. No reloads. No switching systems.
Just click, update, and watch your changes sync instantly across active sessions.
And because it’s built natively into Qlik Cloud Analytics, it seamlessly integrates into your existing workflows, transforming your apps into actionable workspaces.
"Probably the most awaited feature for customers who want to turn insights into action. Write table closes the gap between analytics and transaction applications, offering a compelling solution for those who always want to take it a step further. "
— Henri Rufin, Head of Data & Analytics, Radial
From Decisions to Automation
Now you can capture decisions and act on them.
With real-time syncing and change tracking, every update you make in a Write Table is stored in a Qlik-managed database called a “change store” that can be exported and connected into Qlik Automate workflows. That means approvals, changes, or comments made in an app can instantly trigger downstream processes.
From updating operational records... to routing approvals... to notifying teams... to pushing changes into your operational systems....
Write Table helps you move smoothly from insight -> decision -> action in one place.
“The new Write Table is a game-changing addition to Qlik's data and analytics solution. It allows our users to interact with the data, add context to their insights and collaborate effortlessly within the same trusted end-to-end platform. We're going to use it for everything, from updating data easily to seamlessly integrating with third-party tools using Qlik Automate workflows.”
— Sebastian Björkqvist, Solution Lead, Fellowmind
Key Highlights
Learn more
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 and get started!
Learn more here:
Thank you for choosing Qlik,
Qlik Support
従来のBIツールでは、ダッシュボードで分析した内容を踏まえ次のアクションを取るために他システムへ入力したり、Excelでデータを修正して再度取り込み、また確認するといった作業が必要でした。分析画面と日常業務がつながっていないと、気付きを反映するまでに時間がかかったり、担当者間で認識がずれたりするケースも少なくありません。
こうした課題に応える新機能として、Qlik Cloudに「Write table(ライトテーブル)」が追加されました。これは分析画面上に配置できる編集可能なテーブルで、ユーザーが直接セルに入力したり、プルダウンを使って更新することができます。複数人による同時編集にも対応しており、行単位でロックされるため競合が起きません。編集内容は“change store”に保存され、APIを使って外部システムとの連携や自動化フローのトリガーとして利用することも可能です。
この機能がもたらす価値は、「分析」と「実務」がこれまで以上に近づく点にあります。例えば在庫数の修正、配送ステータスの更新、営業案件の進捗管理、社内コメントの書き込みなど、従来であれば別システムで行っていた作業を、Qlikアプリ内で完結できるようになります。特にビジネス部門において、現場が気付いた内容をその場で即時反映できることは大きな強みです。
さらに、外部システム連携や自動化機能(Qlik Automate)を組み合わせれば、入力内容をもとに通知や外部システム更新を自動化するなど、「分析 → 編集 → 実行」を継ぎ目なく実現できます。BIを見るためのツールから意思決定と実行を支えるプラットフォームへ進化させたい企業にとって、Write tableは大きな一歩となるでしょう。
データ修正の二度手間を減らし、ダッシュボードと現場作業を自然につなぐ体験が、業務プロセスの質を大きく変えるはずです。ぜひ一度試してみてください。
Write tableは、Qlik Cloud Analytics Premium以上のサブスクリプション、または Qlik Sense Enterprise SaaS でご利用いただけます。
Qlik TECH TALK セミナー:分析アプリでの直接データ操作とリアルタイム情報共有を実現!Write Tableのご紹介
製造業における競争力は、いま“データを活かせる製品”かどうかで大きく変わりつつあります。本 Web セミナーでは、自社製品に Qlik Cloud Analytics をバンドルすることで実現できる新たな価値創出モデルをご紹介します。センサーデータや稼働ログを可視化し、予兆保全やリモート診断を可能にするだけでなく、製品改善につながる利用データの取得、アフターサービスの収益化など、多くのメリットを具体的なユースケースを交えて解説します。“売り切り”から“継続的な価値提供”へ。製品の競争力を高め、顧客満足度を向上させるための実践的な方法をぜひご確認ください。
※ 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。
今すぐ申し込む
When I’m exploring a Qlik app, I often want to show exactly how I reached a view—without typing instructions or jumping on a call.
Qlik Trail is a small extension I created that does just that: Click Record, make your selections, and you’ll get a tidy list of steps that you can replay from start to finish, or jump to a specific step. Then, when you’re happy with the journey, you can export the trail as JSON and hand it to someone else so they can import and run the same sequence on their side.
Bookmarks are great for destinations (one final selection state). Qlik Trail is more about the path:
Multiple steps in a defined order (A → B → C)
Replay from start for narration or Replay a specific step
Export/import a whole journey, not a bunch of one-offs
You can use bookmarks to save a point in time, and use Qlik Trail when the sequence matters more.
Record steps manually, or toggle Auto to capture each change
Name, duplicate, reorder, delete, or ungroup steps
Organize steps into Groups (Executive Story, Sales Ops, Training, …)
Replay to here (apply one step) or Replay from start (play the group)
Export / Import trails as JSON
Before we go into how the extension was built, let's see a demo of how it can be used.
I’ll share two practical trails an Executive Story and Sales Ops with selections you can record and replay on your end, for this demo I'll use the Consumer Goods Sales app (which you can get here: https://explore.qlik.com/details/consumer-goods-sales)
Upload the extension .zip file in the Management Console, then add Qlik Trail (custom object) to a sheet.
Optional: enable Auto-record in the object’s properties if you want every change captured while you explore.
Toolbar (left to right): Record, Replay from start, Delete, Delete all, Auto, Group filter, New group, Export, Import.
Create Group: Executive Story
Step 0 — “US overview: top categories”
Selections: (none)
Step 1 — “Northeast · Fresh Vegetables”
Selections: Region = Northeast, Product Group = Fresh Vegetables
Step 2 — “Northeast · Cheese (A/B)”
Selections: Region = Northeast, Product Group = Cheese
quick A/B inside the same region.
Step 3 — “West vs Northeast · Fresh Fruit”
Selections: Region = West, Northeast, Product Group = Fresh Fruit
same category across two regions to see differences.
Step 4 — “Northeast focus: PA · Fresh Fruit”
Selections: Region = Northeast, State = Pennsylvania, Product Group = Fresh Fruit
drill to a particular state.
Presenting: select the group → Replay from start. If questions land on Step 4, use Replay to here.
Create Group: Sales Ops Story
Step 1 — “South · Ice Cream & Juice (summer basket)”
Selections: Region = South, Product Group = Ice Cream, Juice
Step 2 — “Central · Hot Dogs (promo check-in)”
Selections: Region = Central, Product Group = Hot Dogs
Step 3 — “West · Cheese (margin look)”
Selections: Region = West, Product Group = Cheese
One idea per step. (Region + Category) or (Region + a couple of States)
Duplicate then tweak for fast A/B comparisons
Group by audience. Exec, Ops, Training
Ungrouped steps = scratchpad. Move into a group when it’s ready
After recording, drag to reorder so replay tells a clean story
Click Export to download qliktrail_export_YYYY-MM-DD_HHMM.json.
Your teammate can Import, pick a group, and hit Replay from start. Same steps, same order—no instructions needed.
1) Module & CSS injection
Load CSS once at runtime so the object stays self-contained:
define(['qlik','jquery','./properties','text!./style.css'], function(qlik, $, props, css){
if (!document.getElementById('qliktrail-style')) {
const st = document.createElement('style');
st.id = 'qliktrail-style';
st.textContent = css;
document.head.appendChild(st);
}
// …
});
2) Capturing selections per state
Read SelectionObject, group by qStateName, then fetch only selected rows via a lightweight list object. Store both text and numeric to be resilient to numeric fields:
app.getList('SelectionObject', function(m){
// build grouped { state -> [fields] }
});
...
app.createList({
qStateName: stateName || '$',
qDef: { qFieldDefs: [fieldName] },
qInitialDataFetch: [{ qTop:0, qLeft:0, qWidth:1, qHeight:10000 }]
}).then(obj => obj.getLayout() /* collect S/L/XS states */);
Snapshot (what we export/import):
{
"ts": "2025-03-10T14:30:00Z",
"states": [
{
"state": "$",
"fields": {
"Region": { "text": ["Northeast"], "num": [] },
"Product Group": { "text": ["Fresh Vegetables"], "num": [] }
}
}
]
}
3) Replaying selections
Clear target state, then select values. Prefer numbers when available; fall back to text:
app.clearAll(false, state);
...
field.selectValues(pack.num.map(n=>({qNumber:n})), false, false)
// fallback to qText
field.selectValues(pack.text.map(t=>({qText:String(t)})), false, false);
4) Auto-record with a quiet window
Avoid recording during replays to prevent ghost steps:
ui.replayQuietUntil = Date.now() + (layout.props.replayQuietMs || 1200);
if (Date.now() >= ui.replayQuietUntil && ui.autoOn) record();
5) Groups, ordering & persistence
Trails live in localStorage per app key. Groups look like { id, name, members:[stepId,…] }. Ordering is a simple seq integer; drag-and-drop reassigns seq inside the open list.
That’s Qlik Trail in a nutshell. It lets you hit record, name a few steps, and replay the story without hand-holding anyone through filters. Use Bookmarks to keep states, but Trail will help you keep tack of the sequence.
P.S: this extension is a work-in-progress experiment and not prod-ready, I'm planning to add more features to it and make it more stable in the future.
🖇 Link to download the extension: https://github.com/olim-dev/qlik-trail
As we enter the last month of the year, let’s review some recent enhancements in Qlik Cloud Analytics visualizations and apps. On a continuous cycle, features are being added to improve usability, development and appearance. Let’s’ look at a few of them.
Straight Table
Let’s begin with the straight table. Now, when you create a straight table in an app, you will have access to column header actions, enabled by default. Users can quickly sort any field by clicking on the column header. The sort order (ascending or descending) will be indicated by the arrow. Users can also perform a search in a column by clicking the magnifying glass.
When the magnifying glass icon is clicked, the search menu is displayed as seen below.
If a cyclic dimension is being used in the straight table, users can cycle through the dimensions using the cyclic icon that is now visible in the column heading (see below).
When you have an existing straight table in an app, these new features will not be visible by default but can easily be enabled in the properties panel by going to Presentation > Accessibility and unchecking Increase accessibility.
Bar Chart
The bar chart now has a new feature that allows the developer to set a custom width of the bar when in continuous mode. Just last week, I put the bar chart below in continuous mode and the bars became very thin as seen below.
But now, there is this period drop down that allows developers to indicate the unit of the data values.
If I select Auto to automatically detect the period, the chart looks so much better.
Combo Chart
In a combo chart, a line can now be styled using area versus just a line, as displayed below.
Sheet Thumbnails
One of the coolest enhancements is the ability to auto-generate sheet thumbnails. What a time saver. From the sheet properties, simply click on the Generate thumbnail icon and the thumbnail will be automatically created. No more creating the sheet thumbnails manually by taking screenshots and uploading them and assigning them to the appropriate sheet. If you would like to use another image, that option is still available in the sheet properties.
From this
To this in one click
Try out these new enhancements to make development and analysis faster and more efficient.
Thanks,
Jennell
コンボチャートで線を使用する場合に、エリアを表示できるようになりました。これにより、単にトレンドを示すだけでなく、データの大きさを表現しやすくなります。
連続スケール(Continuous Axis)を使用する棒グラフにおいて、棒の幅(太さ)をデータ単位に基づいて自由に設定できるようになり、視認性が大幅に改善されました。
シートの内容を反映したサムネイル画像が自動生成されるようになり、手動設定なしで視覚的な判別が容易になりました。デフォルトの骨組み(スケルトン)アイコンの代わりに、実際のシート内容を反映したプレビューが表示されるため、中身が一目で分かります。手動でスクリーンショットを撮ってアップロードする作業が不要になります。視覚的なプレビューにより、目的のシートを素早く直感的に見つけることができます。
Table RecipeのフィルタリングとNull処理が強化され、さらに作成したレシピをData Flowへシームレスに変換できるようになり、拡張性が大幅に向上しました。
データフロー:トラブルシューティングと生産性向上機能
データフローのUI/UXが強化され、エラー箇所の即時特定やショートカット操作が可能になり、開発・修正作業の効率が大幅に向上しました。
SQL開発者の生産性を最大化するため、エディタインターフェースが全面的に刷新され、コーディングからテスト実行までの操作性が大幅に向上しました。
ナレッジ マートタスクが Databricks Vector Store と Databricks LLMs をサポートし、エンドツーエンドの AI データパイプラインを Databricks 環境内で完結できるようになりました。
Qlik Talend Cloud上で、バージョン管理システムから直接プロジェクトのブランチをインポートすることが可能になりました。他の開発者のコードをレビューしたり、共同で作業を進める際の手間を削減し、開発(Dev)、品質検証(QA)、本番(Prod)といった異なるスペースやテナント間で、プロジェクトを安全に共有・移行することができます。
同じ自動化の実行を、複数同時に開始できるようになりました。各自動化の設定、およびアクティビティ センターの自動化セクションでグローバルに設定が可能です。デフォルトは10の設定となっております。
Webhook機能においてセキュリティが強化され、ヘッダー値の暗号化とシークレットの保護が可能になりました。
Databricks接続におけるOAuth認証のサポート強化と、プロセス分離時のポート設定の柔軟性が向上しました。
管理画面から、Direct Access gateway経由のRESTおよびFileコネクタに対するアクセス許可リスト(Allow Lists)を直接設定できるようになりました。
フランスに新たなクラウドリージョンを提供開始しました。世界で13番目のリージョンとなります。
Starting January 12, 2026, the 30-second interval option will no longer be available in the Qlik Automate scheduler.
This update prepares Qlik Automate for a future upgrade that will bring enhanced scheduling capabilities that are consistent with other Qlik products, including:
All automations using the 30-second interval will continue to work and run on the 30-second interval for now.
At a yet to be decided date, automations that still use a 30-second interval will be migrated to a 1-minute interval. Subscribe to this blog post to stay informed.
Please review your automations that use 30-second intervals to ensure they will function properly with a 1-minute interval.
Don't hesitate to reach out if you have any questions or address our experts directly in the Qlik Automate forum.
Thank you for choosing Qlik,
Qlik Support
Regex has been one of the most requested features in Qlik Sense for years, and now it’s finally here.
With this year's May 2025 release, Qlik added native support for regular expressions in both load scripts and chart expressions. That means you can validate formats, extract values, clean up messy text, and more, all without complex string logic or external preprocessing.
In this post, we’ll look at what’s new, how it compares to the old workarounds, and a practical example you can plug into your own app.
Regex (short for Regular Expression) is a compact way to define text patterns. If you’ve used it in Python, JavaScript, or other programming languages, the concept will feel familiar.
Qlik now includes native support for regular expressions with functions that work in load scripts and chart expressions:
MatchRegEx() – check if a value matches a pattern
ExtractRegEx() – extract the first substring that matches
ReplaceRegEx() – search and replace based on a pattern
SubFieldRegEx() – split text using regex as the delimiter
There are also group-based versions (ExtractRegExGroup, etc.), case-insensitive variants (MatchRegExI), and helpers like CountRegEx() and IsRegEx().
Here's where regex saves time:
Pattern-based replacements: Clean or reformat values without chaining multiple functions.
With regex:
If(MatchRegEx(Code, '^[A-Z]{2}-\d{5}$'), 'Valid', 'Invalid') // check format
ExtractRegEx(Text, '\d{5}') // get first 5-digit number
ReplaceRegEx(Field, '\D', '') // strip non-digits
Cleaner logic. Fewer steps. Easier to maintain.
If any of the following sound familiar, regex will help:
Format checks: postal codes, product SKUs, ID numbers.
Data extraction: get domain from email, number from notes, etc.
PII masking: hide parts of a SSN or credit card.
String cleanup: strip unwanted characters, normalize spacing.
Splitting tricky fields: CSV lines with quoted commas, mixed delimiters.
Keep in mind that these functions can be used directly in chart expression, so you can build visuals or filters based on pattern logic, not just static values.
Let’s say you’ve got a bunch of phone numbers like this:
(312) 678-4412
312-678-4412
3126784412
123-678-4412 // invalid: area code starts with 1
312-045-4412 // invalid: exchange starts with 0
312-678-441 // invalid: too short
You want to:
Validate that it’s a proper 10-digit North American number
Standardize the format to (###) ###-####
Here’s how to do it with regex in your load script:
LOAD
RawPhone,
// 1. Strip out anything that's not a digit
ReplaceRegEx(RawPhone, '\D', '') as DigitsOnly,
// 2. Validate: 10 digits exactly, starting with 2–9
If(MatchRegEx(RawPhone, '^\(?[2-9]\d{2}\)?[-.\s]?\d{3}[-.\s]?\d{4}$'),
'Valid', 'Invalid') as Status,
// 3. Standardize format to (###) ###-####
ReplaceRegEx(
ReplaceRegEx(RawPhone, '\D', ''),
'(\d{3})(\d{3})(\d{4})',
'(\1) \2-\3'
) as FormattedPhone
INLINE [
RawPhone
3025557890
(404) 222-8800
678.333.1010
213 888 9999
1035559999
678-00-0000
55577
];
Result:
One pattern replaces multiple conditions and formatting is consistent. This is much easier to maintain and easy to expand if the rules change.
Not sure how to write the pattern?
Tools like regex101.com or regexr.com are great for testing and adjusting before you build in Qlik.
With native regex in Qlik Sense, you can now clean, validate, extract, and transform text with precision without convoluted scripts or third-party tools. It’s a quiet but powerful upgrade that unlocks a ton of flexibility for real-world data.
Hi everyone,
Want to stay a step ahead of important Qlik support issues? Then sign up for our monthly webinar series where you can get first-hand insights from Qlik experts.
Next Thursday, December 10 Qlik will host another Techspert Talks session and this time we are looking at Unleashing the Qlik Talend Cloud Dynamic Engine.
But wait, what is it exactly?
Techspert Talks is a free webinar held on a monthly basis, where you can hear directly from Qlik Techsperts on topics that are relevant to Customers and Partners today.
In this session we will cover:
Choose the webinar time that's best for you.
The webinar is hosted using ON24 in English and will last 30 minutes plus time for Q&A.
Hope to see you there!!
Hi Qlik Community,
We’re kicking off December with something fun, interactive, and built to bring the entire Community together. The Qlik Community Scavenger Hunt is officially live and will run from December 3–17.
This two-week experience is designed to help you explore new corners of the Community, learn about key resources, and test your eye for detail. Whether you’re a longtime contributor or brand new to Qlik, this is a great way to jump in!
How the Scavenger Hunt Works
We’ve published a dedicated post with everything you need to get started, including all the clues, instructions, and the form to submit your final answer. Each clue leads you to a specific forum or page across the Community where you’ll uncover one hidden letter. Collect all the letters, solve the final phrase, and submit your entry.
Everyone who completes the hunt will be entered into a raffle for a chance to win exclusive Qlik swag.
Holiday Snow on Homepage!
We’ve brought back the snow to the Community homepage. You can toggle the snow off or on through the snow button to the right of the homepage.
That’s all for now! We can’t wait to see how many of you complete the hunt. Good luck, and thank you for being part of the Qlik Community. We’ll be back soon with more updates.
Your Qlik Community Managers,
Sue, Jamie, Nicole, Caleb, and Brett
@Sue_Macaluso @Jamie_Gregory @nicole_ulloa @Brett_Cunningham
Education in Brazil is changing fast, and data skills are becoming more important every day,especially with the rise of AI. That’s why the Qlik Academic Program is gaining so much attention across the country. More universities, teachers, and students are discovering how Qlik can help them learn and grow.
Teachers across Brazil are using Qlik to update their classes and give students a taste of what today’s job market looks like. Whether it’s a workshop, a guest lecture, professor training, a Qlik Sense demo, or a presentation about the Academic Program in São Paulo, Rio de Janeiro, Paraná, Florianópolis, Paraíba, and beyond, the Academic Program offers simple, collaborative, and flexible ways to learn about data.
Brazil has a strong culture of creativity and learning, which aligns perfectly with Qlik’s mission. The Academic Program gives students and teachers free access to high-quality learning materials. Students can explore data, practice real-world skills, and even earn recognized certificates. Teachers also receive ready-to-use resources that make it easy to bring Qlik into their lessons.
As the Qlik Academic Program continues to grow in Brazil, these collaborations represent something bigger than expansion. Whether you're studying in Porto Alegre, teaching in Recife, or researching in Manaus, the goal is the same: to help everyone learn and succeed.
If you want to learn more about how Qlik can support your studies or teaching, visit Qlik Academic Program: Creating a Data-Literate World
Namespaces for REST and Events APIs are being introduced in Qlik Cloud to support the growing number of APIs and services in the platform, and to unlock versioning support in the future. This change makes it easier for you to find, understand, and use Qlik APIs by grouping related resources by context, as well as standardizing the interface for the APIs.
To learn more, see the API namespaces overview page on qlik.dev.
v1 from the path: v1 will be removed from the path to prepare for versioning support in the future.analytics namespace for Analytics-specific resources such as apps, notes, and ODAGs apps.core namespace for platform-wide resources such as users, groups, ip-policies, and roles.Events will adhere to the same namespace rule to avoid conflict of resource names and to match the REST resources. This changes the pattern from com.qlik.v<version>.<eventContext>.<action> to com.qlik.<namespace>.<eventContext>.<action>.
Head to the API namespaces overview page for additional details and examples.
Thank you for choosing Qlik,
Qlik Support
Qlik Data Gateway - Direct Access versions 1.4 and 1.5 are reaching End of Life by January 31st, 2026*.
The original announcement can be read in Direct Access gateway versions 1.4 and 1.5 reaching End of Life by January 31st, 2026.
Both versions will stop working after reaching End of Life. We recommend you plan to upgrade to the latest available version of the currently supported 1.7.x as soon as possible.
For the upgrade procedure, please refer to Upgrading Qlik Data Gateway - Direct Access on Qlik's online help. This page also lists all the significant changes for each version.
The upgrade to 1.7.x from 1.4 or 1.5 has been thoroughly tested, and the process is expected to be smooth. However, please follow the steps carefully and always take a backup before upgrading. It is also worth noting that .NET 8.x is required (from v1.6.6) and will be automatically installed during the upgrade.
Several configuration settings were added in later versions of the Direct Access gateway that may apply to your deployment. Therefore, please review all details in the online help on Configuring and troubleshooting Qlik Data Gateway - Direct Access. Note that most Direct Access gateway settings can be configured in the Qlik Cloud Administration activity center (from v1.7.2).
Always upgrade to the latest version!
If you have questions or need additional assistance, our forums are always open to you, and Support is only a chat away.
Thank you for choosing Qlik,
Qlik Support
* The previously announced date was set for December 31st, 2025, and was later extended until January the following year.
Qlik DataTransfer will be officially End-of-Life by the end of Q1 2026.
It will be removed from the Product Downloads site later this year and will no longer be available for new installations or upgrades. Qlik will provide support until April 30, 2026.
To ensure a smooth transition, we recommend you begin utilizing Qlik Data Gateway – Direct Access, the supported alternative.
Note that the initial release of Qlik DataTransfer (November 2024, version 10.4.0) will not work after June 24th, 2025. If you still need to use Qlik DataTransfer beyond June, upgrade to the Service Release version 10.4.4.
We have compiled a list of resources to assist you in adopting Qlik Data Gateway - Direct Access:
Additionally, for those needing feature parity with Qlik DataTransfer, we recommend pairing with the File Connector via Direct Access, REST Connector via Direct Access, and the generic ODBC Connector.
Further Resources:
We will share an update later this year with the exact deprecation and end-of-support dates.
For assistance, please contact Qlik Support. Questions on how to contact Qlik Support.
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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.
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:
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.
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.
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.
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.
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.
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
Several Qlik Reporting blocks will be deprecated on February 25th, 2026. Automation developers will notice the following blocks reflecting their deprecated status:
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.
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