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Recent Blog Posts
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Qlik Community is getting a new home
Qlik Community is moving to a new platform in mid-December 2026. For more than eight years, this has been the place where more than 280,000 customers,... Show MoreQlik Community is moving to a new platform in mid-December 2026. For more than eight years, this has been the place where more than 280,000 customers, partners, prospects and Qlik employees learn from each other, share what they know, and get more from Qlik. The move is designed to make that even easier.
What's coming for you
The new Qlik Community is built around the people who make it valuable: you. It will help you:
- Find answers fast, with improved navigation and easier access to technical knowledge
- Learn from peers anytime, anywhere
- Strengthen connections with experts and fellow members
- Share resources and explore new features
- Get inspired by what others are building and achieving with Qlik
- Give feedback that helps shape what comes next
- Be recognized for what you contribute
The new platform, Higher Logic Vanilla, replaces Khoros. It brings a modernized look and feel, more flexibility, and improved gamification. Qlik Nation is moving too, and the updated Qlik Nation experience will launch within Qlik Community in early 2027.
Timeline:
- Now through mid-December: The current Community works as usual.
- Early to mid-December: Community will be in read-only mode for a few days while we migrate. You can still search and read all content, log a Support case, and download software. You won't be able to post, comment or react. Banners on the site will remind you.
- Mid-December 2026: The new Qlik Community opens.
We'll update this post, and the FAQ below, with any changes.
Do I need a new account?
No. Members will be able to login to the new platform via SSO, using the email address associated with their current Qlik Community account. Members will then be able to start engaging in the new platform, and can post once the read-only period has passed.
What moves, and what doesn't
Much of your Community profile will come with you. Please note that the following will not migrate: private messages, notification settings and bookmarks. A little preparation before the read-only period will save you time later:
- Private messages: Download any you want to keep before the migration.
- Notification settings: Take a screenshot of your current setup. After the move, you'll need to set your notifications again, and the screenshot makes that quick.
- Bookmarks: Take a screenshot of your bookmarks so you can re-save them in the new Community.
Frequently asked questions
Why is Qlik Community moving? To create a more connected and engaging experience, building on what you already do in Community: learning from peers, sharing resources, building connections with experts and users, inspiration from others' work, and a way to give feedback. The new platform also gives the teams that run Community a modernized experience and added features to serve you better.
Why does this matter for customers and partners? Community is the central place for Qlik customers, partners, prospects and employees to connect, share knowledge and exchange ideas. You can get quick answers from other Qlik users and explore resources and programs that help you get more from Qlik.
What's happening with Qlik Nation? Qlik Nation is moving to the new Qlik Community as well, so there is one destination for engaging with Qlik, and a more natural path from active member to Qlik advocate. The updated Qlik Nation experience launches in early 2027.
When is this happening? Mid-December 2026. Exact dates will be updated here.
Can I still reach Support and download software during the read-only period? Yes. Links to log a Support case and download software remain available
Will I hear more about this ahead of time? Yes. Along with this post, we'll be posting future updates in Community and across Qlik communications channels.
We're here to help
Have a question? Email QlikCommunityAdmins@qlik.com or reply in the comments below.
Thank you for being part of Qlik Community. We're looking forward to welcoming you to the new home in December.
The Qlik Community Team
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Qlik Salesforce Connector introduces support for Salesforce Refresh Token Rotati...
Salesforce recently started enabling the Refresh Token Rotation application security setting by default. This would trigger an OAuth request failure w... Show MoreSalesforce recently started enabling the Refresh Token Rotation application security setting by default. This would trigger an OAuth request failure when attempting to use Qlik Salesforce connections, requiring Salesforce support to disable the option.
OAuth request failed with error invalid_grant_description: expired access/refresh token. Please update the credentials for the current connection.
As of November 2026, the Qlik Salesforce connector used by Qlik Cloud (already available as of November 5th), Qlik Sense Enterprise on Windows, and Qlik Sense Desktop (November 2026 IR and any SRs released after November 5th) supports the Salesforce Refresh Token Rotation security setting.
See the relevant release notes for details.
What is the Refresh Token Rotation?
When a Salesforce connection is authenticated against a Salesforce app, the connection receives an initial access token and an initial refresh token. When the access token expires, the connection sends the initial refresh token to Salesforce to obtain a new access token. Since the Refresh Token Rotation setting enforces single-use refresh tokens, the initial refresh token will be invalidated, and Salesforce will respond with not only a new access token, but also a brand-new refresh token.
See Salesforce help pages for more information.
What does this mean for me?
With the new changes to the Salesforce connector, connections will seamlessly support this new Refresh Token Rotation workflow if connections are used within the refresh token Time to Live limit (30 days by default).
If connections are not used within the refresh token Time to Live limit, then you will need to re-authenticate.
What do I need to do?
- Qlik Cloud: Support was added November 5th, 2026. You may be required to re-authenticate existing connections.
- Qlik Sense Enterprise on Windows and Qlik Sense Desktop: Upgrade to the respective November 2026 IR release or any service release published after November 5th. You may be required to re-authenticate existing connections.
But why am I still getting an error?
If you are still receiving an error that your OAuth request has failed, then one of the following situations has occurred:
- You have recently changed the security setting for Refresh Token Rotation in Salesforce, and your previous refresh token has been invalidated.
- Your Salesforce connection has not been used in the time limit defined by the refresh token Time to Live setting in Salesforce, meaning your refresh token has expired.
- You have exceeded the maximum number of active refresh tokens enforced by Salesforce, which is 5.
To mitigate the OAuth error, re-authenticate your Salesforce connection.
Questions?
If you have questions or need assistance, our forums are open to you, and Support is only a chat away.
FAQ
This FAQ will be updated as commonly asked questions are answered.
Are there any limitations?
In Qlik Sense Enterprise on Windows, the Salesforce connector Refresh Token Rotation functionality is currently not supported in a multi-node environment.
Thank you for choosing Qlik,
Qlik Support -
Join Us Live! Q&A with Qlik: Talend Migration
Don't miss our next Q&A with Qlik! Pull up a chair and chat with our panel of experts to help you get the most out of your Qlik experience. REGIS... Show MoreDon't miss our next Q&A with Qlik! Pull up a chair and chat with our panel of experts to help you get the most out of your Qlik experience.
Not able to make it live? Don't worry! All registrants will get a copy of the recording the following week.
See you there!
Qlik Global Support
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Fun with QlikSense - Bingo / Lotto / Housie
Hello,Want to share with you an Fun Game app, which i built for an small team event. hope all of you have heard about Lotto / Housie / Bingo. Yeah i b... Show MoreHello,
Want to share with you an Fun Game app, which i built for an small team event. hope all of you have heard about Lotto / Housie / Bingo. Yeah i built an app which can help you run this game. No rocket science involved it was a fun app and fun to build as well.
i was looking at several options to host this game show and i suddenly an idea struck me, why not use QlikSense and build an app to present this game !!!! and then in just matter of couple of hours i was able to build this app. Its a simple app made to
1. Draw random numbers between 0-99
2. Display these random numbers on a list and highlight them.
3. You load Lotto / Housie / Bingo tickets and identify the winners
I have used couple of extensions to ease the usage.
Link: https://developer.qlik.com/garden/56728f52d1e497241ae69836
i would like to share this app with all of you, it was a nice experience building it and this has inspired me to build another app where we can host Quiz with multiple options. i will share the details in another post !!!
Let me know your feedback on this !!!
P.S. This is my first post.... 🙂
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Introducing the Qlik Cloud Admin Playbook
Are you looking for field-tested best practices on how to manage and maintain your Qlik Cloud tenant? Then look no further than our Qlik Cloud Admin P... Show MoreAre you looking for field-tested best practices on how to manage and maintain your Qlik Cloud tenant? Then look no further than our Qlik Cloud Admin Playbook, which is now available directly on Qlik Help.
Following the launch of our Qlik Sense Admin Playbook, this second release expands our administrative toolkit directly to our cloud offerings.
What is this playbook, and where can I find it?
The playbook provides you with a repository of field-tested administrative best practices, organized by cadence and category for Qlik Cloud tenants, and can be found here: Qlik Cloud Admin Playbook
It can also be accessed from the help site's top navigation bar > Playbooks (A) > Qlik Cloud Administrator Playbook (B) :
Do you collect feedback?
Absolutely. To suggest improvements, please use the Leave your feedback here option on whichever page you want to comment on.
Thank you for choosing Qlik,
Qlik Support -
【オンデマンド配信】分析力より定着力。自治体データ利活用の鍵
ダッシュボードを作ったあと、その運用を続けていくことに課題を感じていませんか。 先行する自治体の事例を見ると、つまずきの原因は可視化機能の不足よりも、データ整備や庁内のルール、人材・予算にあることが少なくありません。 本セッションでは、そうした「続ける仕組み」の壁を 6 つに整理し、Qlik でどう... Show More -
Build Skills in AI, Pipelines as Code, and Hybrid Data
Put AI to work on your data AI is now part of everyday analytics, and these two paths help you adopt it with confidence. Machine Learning with Qlik Pr... Show MorePut AI to work on your data
AI is now part of everyday analytics, and these two paths help you adopt it with confidence. Machine Learning with Qlik Predict Advanced follows one real-world use case from end to end: choosing the right use case, preparing data, deploying the model, and turning predictions into business value. Getting Started with Qlik Answers and Qlik MCP Server covers the fundamentals of both and shows how natural-language conversations make data accessible to more people. A tip from the team: good answers start with a good data model, so once you finish, try the activity Optimizing Structured Datasets for Qlik Answers.
Manage your pipelines like software
Utilize Declarative Pipelines in Qlik Cloud teaches you to manage Qlik Talend Cloud pipelines as code. Across three courses and progressively challenging hands-on labs, you move from environment setup to automated, repeatable deployments using YAML and source control. If you want fewer manual steps and more consistency between environments, start here.
Bridge on-premises and Qlik Cloud
Most of us live in a hybrid world, and two new paths help you move forward without guesswork. Qlik Data Gateway - Direct Access Essentials explores the architecture, configuration, connectivity, security, and monitoring of the secure bridge between Qlik Cloud and your on-premises data sources. QVD Performance Essentials (On-Premises versus Qlik Cloud) builds your QVD and incremental load skills, compares cloud and on-premises approaches, and teaches you to evaluate real-world deployment scenarios before a move to the cloud.
And there is more
For beginners, note that both bridge topics have a companion path that starts with the basics: Direct Access Foundations and QVD Performance Foundations.
For advanced practitioners, Building Analytics-Ready Data Marts takes you across a Qlik Talend Cloud hybrid environment, from on-premises systems to Snowflake, to create trusted data products and turn them into analytics.
We also added new activities and videos, such as Move to Cloud - Why Qlik Talend Cloud, How do I create a Data Product with Qlik Answers, and Qlik and Power BI - Coexistence, Not Replacement.
The full list is on the What's New page in Qlik Learning.
Explore everything released in Q3 on the What's New page in Qlik Learning.
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Upcoming changes to the Talend Studio Lifecycle and Release Schedule
Starting with the release of Talend Studio R2026-10, Talend Studio will adopt a new structured patching release model. The current Talend Studio pa... Show MoreStarting with the release of Talend Studio R2026-10, Talend Studio will adopt a new structured patching release model.
The current Talend Studio patching process
Each Talend product follows its own patching lifecycle and release cadence. With the release of Talend Studio 8.0.1 in 2021, updates have traditionally been delivered every month with the format RYYYY-MM (EX: R2022-01, R2026-05). These releases include bug fixes, customer-requested enhancements, product improvements, and security updates (CVE remediation).
While some customers can readily adopt a monthly patching schedule, many enterprise organizations require extensive testing, validation, and QA cycles before approving updates for production deployment.
The new Talend Studio lifecycle
Starting with the release of Talend Studio R2026-10, customers will have two options to patch Talend Studio.
The following types of Patch Releases will be available:
- Monthly Releases: continue the traditional Talend Studio patching model.
- Support Releases: A Support Release (SR) is a lighter version of the monthly release that focuses on CVE and security fixes and excludes new features, allowing customers to upgrade without taking on new functionality.
Talend Runtime
The same two-track approach will also apply to Talend Runtime. Starting with Talend Runtime R2026-10, customers will be able to choose between Monthly Releases and Support Releases, aligned with the Talend Studio baseline (every October).
This allows Studio and Runtime to follow the same patching track, so that jobs and services built in Studio are validated against a consistent Runtime version. See the supplemental article for details.
For more information, see:
- Update paths | Talend Installation Guide
- The new Talend Studio Lifecycle and Release Schedule (October 2026 and onwards); a supplemental article which goes into detail on:
- The core differences between Patch Releases, such as what Support Releases and Extended Support releases include.
- The recommended Upgrade Paths
- A timeline (projected; changes are possible) of upcoming releases
Thank you for choosing Qlik,
Qlik Support -
【11/5（木）- 6（金）開催】db tech showcase 2026 に出展します！
Qlik は、3 つのセッションで参加します！ データに関わるすべての技術者に「学び」「気づき」「変化」を提供する、国内最大規模のデータとデータベース関連のカンファレンスです。15 回目を迎える今回は「DB First, AI Next」というテーマのもと、フルオフラインイベントで開催します。 「D... Show MoreQlik は、3 つのセッションで参加します！
データに関わるすべての技術者に「学び」「気づき」「変化」を提供する、国内最大規模のデータとデータベース関連のカンファレンスです。
15 回目を迎える今回は「DB First, AI Next」というテーマのもと、フルオフラインイベントで開催します。「Database for AI / AI for Database」という二つの潮流のなか、AI はデータ基盤の在り方に変化をもたらし、データ基盤は AI の価値を支える重要な要素となりつつあります。
この変化の先にどのようなシステムアーキテクチャが生まれるのか。その答えを 80 を超える「現場の意思決定と試行錯誤」からお届けします。Qlik は、3 つのセッションで本イベントに参加します。ぜひ、ご参加ください！
【開催概要】
日時：11/5（木） - 11/6（金）9:30 - 18:30
会場：TKP ガーデンシティ PREMIUM 東京駅大手町
東京都千代田区大手町二丁目 1 番 1 号 大成大手町ビル 17 階参加費：無料（事前登録制）
主催：株式会社インサイトテクノロジー
Qlik セッション セッション D3 - 11/5（木）12:00-12:40
Apache Iceberg で実現する Open Lakehouse ― CDC からデータ活用までを Qlik で自動化
データを高価な DWH で保持し続ける時代から、オープンなレイクハウスへ。本セッションでは、Apache Iceberg をベースとした「Qlik Open Lakehouse」の仕組みを分かりやすく解説します。CDC やストリーミングによるデータ取り込み、Amazon S3 上での Iceberg 管理、コンパクションやスナップショット管理などの自動最適化、さらに Snowflake / Redshift / Databricks からデータを複製せずに活用するミラーリングまで、アーキテクチャとデモを交えて紹介します。
「Storage はオープンに、Compute は自由に選ぶ」― 次世代データ基盤の考え方を解説します。
クリックテック・ジャパン株式会社
ソリューション技術部 シニアソリューションアーキテクト
阿部 智師セッション B16 - 11/6（金）13:40-14:20
MCP × CLI で構築するデータパイプライン 〜AI エージェントに任せる範囲と、人が決める範囲の設計〜
データ基盤の開発は、GUI 操作から、コードとAIエージェントを前提とした開発へと移りつつあります。Qlik Talend Cloud® では、YAML で記述する宣言型パイプラインに加え、Qlik MCP サーバーと Qlik-CLI を組み合わせることで、AI コーディングエージェントによるパイプライン開発が可能になりました。一方で、どこまで AI に任せ、どこから人が判断するのかという線引きが課題になっています。本セッションでは、MCP による参照(接続先やテーブルの探索)と、CLI による検証・デプロイ・実行の役割分担を整理し、自然言語の依頼から稼働までの流れをデモでご紹介します。あわせて、人が承認すべきポイントや認証情報の扱いといった、実運用に必要な設計の考え方を解説します。AI エージェントとの安全な分業を考える、実践的な手がかりをお持ち帰りください。
クリックテック・ジャパン株式会社
ソリューション技術部 PreSales Team Lead
川畑 英貴セッション A20 - 11/6（金）17:00-17:40
RDBMS のデータを CDC で Kafka にレプリケーションし、コンシューマと LLM（LM Studioなど）の AI エージェント開発
インサイトテクノロジー様と長年協業させていただいている Qlik 社のレプリケーションサーバーを利用すれば、簡単な操作だけで異種データベース間(例：Oracle, z/OS, SAP 等)でデータをレプリケーション(初期コピーおよび CDC）でき、さらにストリーミングターゲットとして「Apache Kafka」を使用することも可能です。レプリケーションデータは、Kafka のコンシューマを作成することにより、データに応じて様々な処理に連携させることが可能です。
MySQL のデータを Kafka にレプリケーションし、Python でコンシューマや LM Studio のAI エージェントを実装するコードについても紹介します。
株式会社インサイトテクノロジー
製品戦略本部 本部長
児玉 崇 氏
クリックテック・ジャパン株式会社
ソリューション技術部 テクニカルエキスパート
高橋 智宏 -
Introducing the Qlik Talend Studio AI Assistant, now in Public Preview
In brief The Qlik Talend Studio AI Assistant is an LLM-powered assistant embedded directly in Qlik Talend Studio, purpose-tuned for the way Studio dev... Show MoreIn brief
- The Qlik Talend Studio AI Assistant is an LLM-powered assistant embedded directly in Qlik Talend Studio, purpose-tuned for the way Studio developers work. It is available now in Public Preview, in the September release of Studio, for Qlik Talend Cloud Premium and Enterprise customers, at no additional charge during the preview.
- At launch it generates documentation for jobs, routes, and data services; auto-maps data and helps build tMap expressions; generates Java and SQL for custom transformations; summarizes run logs and points you at likely errors; and generates jobs, data services, and routes from a description of what you need.
- The assistant is strengthened with each monthly release through the preview, with General Availability targeted for Q1 2027.
Agentic assistance arrives in Studio
We are excited to open the Public Preview of Studio AI Assistant, the most significant addition to Qlik Talend Studio in years and the first step in bringing agentic assistance to the entire Studio development experience. It is a capability the Studio community has asked for consistently, and the prototypes we showed at Qlik Connect were met with exactly the response we hoped for. Now it is in your hands.
If you already build in Studio, this post walks through what the assistant does today, component by component. If you are a Qlik customer who has never opened Studio, a quick orientation first.
An introduction to Studio
Qlik Talend Studio is the design environment at the heart of Qlik Talend Cloud for engineers who build data integration pipelines, application integration routes, and data services. It pairs a visual, low-code canvas with an extensive library of connectors and components, full control over custom logic when you need it, and deployment wherever your data lives, on premises or in the cloud. Studio is where enterprise pipelines are built with the rigor production demands, and it is the foundation Studio AI Assistant is designed around.
How Studio AI Assistant works
Studio AI Assistant takes two forms inside Studio. The first is an embedded assistant window, available across the application and scoped to whatever you currently have selected: open it while working on a job and it already knows the job; move to a component and its context moves with you. Describe your intent in plain language and the assistant builds from it. The second is a set of dedicated buttons in the interface for the tasks you will do most, such as generating documentation for the job in front of you, one click and no prompt required.
Behind both, every request is secured through the Qlik Talend Cloud LLM Gateway on Qlik Cloud, so the assistant operates inside the same governance boundary as the rest of your Qlik Talend Cloud tenant. There is nothing to configure and no separate console to visit.
One principle runs through all of it: you stay in control. The assistant generates, suggests, and explains. You review, refine, and decide what ships.
Public Preview features
The Public Preview opens with the capabilities that cover the everyday work of building in Studio, from documenting what you have built to drafting something new from a description. Watch the video below for a first look, then read on for what each one does and where you will find it in Studio.
Generate documentation for jobs, routes, and data services
Ask the assistant to document the job and it reads the job as built (the sources, the transformations, the targets) and completes the description and purpose fields for you: what the job consolidates, where each input comes from, and the business rules it enforces. The same applies to routes and data services. Documentation becomes part of the build rather than a task that follows it, and the next engineer who opens the job finds an accurate description waiting.
Auto-map data and build expressions in tMap
Open the tMap on a customer dimension job and the assistant can automatically map source columns to target columns based on the column descriptions you already have. Where a mapping calls for real logic rather than a straight match, a contextual helper inside the tMap and cMap Expression Builders assist you in constructing the expression. You still make the calls that require judgment, how risk gets classified, which source wins when two disagree. The assistant handles the mechanical work underneath those decisions.
Generate Java and SQL for custom transformations
Studio's low-code components cover the vast majority of a pipeline. For the moments that call for custom logic, the assistant turns a prompt into code, right where that code lives:
- Java in tJava, tJavaFlex, and tJavaRow for jobs; in cProcessor, cSetHeader, and cJavaDSLProcessor for routes; and in Routines and Beans.
- SQL in tDBInput and tDBRow for jobs, and in cSQL for routes.
Describe the calculation or the query you need, review the generated code in place, and keep building. Custom code stays inside the governed flow of the job rather than arriving from somewhere else.
Summarize run logs and surface likely errors
After a job runs, ask the assistant for a summary of the logs and an analysis of possible errors. Instead of working through raw execution output, you start from a plain-language account of what happened and where the likely fault lies, whether that is an upstream schema change, an empty lookup, or a type mismatch three components downstream. The diagnosis is the assistant's. The fix, and the decision to apply it, remain yours.
Generate jobs, data services, and routes
Describe the pipeline, the API, or the route you need, and the assistant drafts it for you to review and build on. This is the capability the community asked for most, and it is available from the first day of the preview in its initial form. It is also the area we will strengthen most visibly with each monthly release, so expect the assistant's ability to generate, update, and complete jobs, data services, and routes to grow steadily as the preview progresses.
What to expect through the preview
Public Preview is the starting line, not the finish. Studio ships monthly, and every release through the preview strengthens the assistant: broader coverage, better generation, tighter integration with the work in front of you. The assistant you use in December will do more than the one you open today, on the way to General Availability, which we are targeting for Q1 2027.
Preview participants shape that path. The feedback you give during the preview directly informs what we prioritize and how the assistant behaves at GA.
Agentic speed on a trusted foundation
The market is filling with AI coding assistants, and most of them ask you to move your work to where the assistant lives. Studio AI Assistant takes the opposite approach: it brings AI to the environment your pipelines already run in.
- Governed by design. The assistant operates inside Studio and Qlik Talend Cloud, behind the LLM Gateway, on the same low-code foundation your production pipelines depend on. Nothing is rebuilt or re-platformed to make the AI work.
- Engineers stay in control. Every generated artifact, whether documentation, a mapping, a block of Java, a diagnosis, or a draft job, is reviewed and accepted by the developer. Speed comes from removing the mechanical work, not from removing the engineer.
- One assistant across the whole workflow. Documentation, mapping, code, debugging, and generation in a single, context-aware experience.
Speed and governance were never meant to be a trade-off. Studio AI Assistant is built to deliver both.
Built on community feedback
We asked the Studio community, and the answer was consistent. In a December 2025 survey of qualified Studio users, AI-assisted job creation and editing ranked as the single most requested capability, selected by 48 percent of respondents, with documentation generation at 45 percent and transformation optimization at 43 percent close behind.
The signal was strong among experienced Studio developers, and stronger still among engineers newer to Studio, many arriving from data and analytics backgrounds, who want to be productive from their first week. Studio AI Assistant is our direct answer to what you asked for.
Availability and getting started
Studio AI Assistant is available now in Public Preview, in the September release of Studio, for Qlik Talend Cloud Premium and Enterprise customers. There is no additional charge for the assistant during the Public Preview; pricing will be announced ahead of general availability.
Because the assistant runs through the Qlik Talend Cloud LLM Gateway on Qlik Cloud, it is available to Qlik Talend Cloud customers. Talend customers who have not yet moved to Qlik Talend Cloud can talk to their Qlik team about the path there. Qlik customers exploring Studio for the first time can start with a Qlik Talend Cloud trial.
To activate this feature, work with your platform administrator. It is a three-step process:
- In Qlik Cloud, open Administration > Settings > AI features, and enable cross-region inference.
For more information, see Enabling cross-region inference.
- In Qlik Cloud, open Administration > Settings > Tenant > Feature preview, and enable feature preview.
For more information, see Enable feature preview for the tenant.
- Assign a new role to the user with the permission Features and actions > AI platform > Generative AI access set to Allowed.
For more information, see Roles and permissions for users and administrators.
To get started, review the documentation, then open Studio, select a job, route, or data service, and open the assistant. Start by creating documentation on something you have already built, then try auto-mapping in a tMap, a Java or SQL prompt in a component, and a job described from scratch. Tell us what works and what you want next.
Studio has always been where serious data engineering gets done. Starting today, it gets done with an assistant that understands the work. Welcome to the Public Preview!
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Techspert Talks - Migrating Talend to Qlik Talend Cloud
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 insi... Show MoreHi 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.The Techspert Talks session from November looked at Migrating Talend to Qlik Talend Cloud.
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:
- Converting Configurations and Projects
- Qlik Talend Cloud Advantages
- Migration Toolkit
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AI Without Context is Guessing with Confidence: Qlik's October Product Recap 202...
Qlik's 2026 Product Recap is out. In it, we cover: One definition of your business, built into your data products Semantic Models in Data Products ... Show MoreQlik's 2026 Product Recap is out.
In it, we cover:
One definition of your business, built into your data products
- Semantic Models in Data Products are our lead innovation, and they bring shared meaning into the data product itself, giving analytics and AI the context to understand your data.
Agentic AI that works the way your business works
- Qlik Answers gets a streamlined architecture, custom skills, and advanced reasoning driven by the Qlik analytics engine.
- Qlik Talend Studio AI Assistant brings an assistant directly into the tool your data developers already use, and it changes what a day in Studio looks like.
- Agentic Data Stewardship keeps a human in charge while agents do the legwork.
- MCP Tools for Declarative Pipelines came out of a request we heard again and again in testing: developers wanted to look inside their Qlik tenant while building.
How we offer you more choice, more control
Enterprise AI has to fit the environment it runs in. This release widens that fit.
- Try new capabilities on your terms with Feature Preview. You can now browse upcoming features, turn them on for yourself, and turn them off whenever you like, with no waiting.
- More cloud choice. Open Lakehouse support for Google Cloud arrives in public preview in November, extending support beyond AWS.
- Developer flexibility. The Modern Script Editor and a new VS Code extension bring Qlik development into the tools your developers already use.
- Enterprise control and readiness. AWS PrivateLink is generally available, and ISO 9001 certification is complete.
Ready to dive into the recap? Head over to AI Without Context Is Guessing With Confidence. | Product Innovation Blog.
Thank you for choosing Qlik,
Qlik Support - Semantic Models in Data Products are our lead innovation, and they bring shared meaning into the data product itself, giving analytics and AI the context to understand your data.
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AI Without Context Is Guessing With Confidence. Our October Qlik Product Recap C...
One definition of your business, built into your data products Semantic Models in Data Products are our lead innovation this half, and they bring sha... Show MoreOne definition of your business, built into your data products
Semantic Models in Data Products are our lead innovation this half, and they bring shared meaning into the data product itself, giving analytics and AI the context to understand your data. You define measures, dimensions, and relationships once, in a visual, versioned model. Link measures and dimensions to business glossary terms, so your business definitions flow into your applications. AI suggestions recommend relationships as you build. And because they are packaged directly in the data product, definitions and context, lineage, ownership, and trust scores carry automatically wherever the data is used.
You don't have to start from scratch. As part of public preview releasing on October 28th and targeted Q4 GA, you can extract a data product from an existing application. This lets you reuse the logic you have already built in your Qlik apps and QVDs, so definitions become one-to-many across multiple analytics and AI applications instead of repeated app by app. Teams spend less time reconciling numbers and more time acting on them, and the risk of AI working from conflicting definitions drops.
▶ Can't see the video? Click here to watch directly from Qlik's video page.
▶ Try the interactive demo: https://tour.qlik.com/share/lzg4spcf5wss
Agentic AI that works the way your business works
Qlik Answers gets a streamlined architecture, custom skills, and advanced reasoning driven by the Qlik analytics engine. Advanced reasoning unlocks a new level of analytical insight, allowing AI to go beyond "what happened" into causal, comparative, and predictive insight, and even run simulation, optimization, and counterfactual analysis for recommendations that guide action. And, we are expanding the Qlik Engine’s ability to unlock the power of gray through AI, for insight into “what’s not” – hidden opportunities outside the query criteria.
In addition, we have made a number of additional enhancements. Custom skills let you guide the reasoning behavior of Qlik Answers based on your terminology and business requirements. An AI readiness score shows how prepared each application is for AI use. And a new, streamlined skills and tools based architecture delivers faster performance and more accurate and consistent answers. The result is a fast, powerful, customizable Qlik Answers that takes full advantage of our analytics engine running inside Qlik's governed foundation. Nothing changes for you in the meantime: today's Qlik Answers keeps running throughout the rollout.
Qlik Answers enhancements coming soon in Q4, 2026.
▶ Can't see the video? Click here to watch directly from Qlik's video page.
Qlik Talend Studio AI Assistant brings an assistant directly into the tool your data developers already use, and it changes what a day in Studio looks like. Describe the job you need, and it drafts one for you to review and build on. Point it at a complex schema and it maps the fields automatically, with help constructing the expressions that need real logic. Ask it to document what you just built and it reads the job as built, sources, transformations, targets, and writes the description for you. Hand it a cryptic failure after a run and it tells you where the fault actually lives, whether that is an upstream schema change or a type mismatch three components downstream, instead of leaving you to trace raw logs alone.It is the first step toward agentic assistance across the entire Studio development experience, and it ships from inside the same governed foundation your production pipelines already run on. Every monthly release through the preview adds more, with the assistant’s ability to generate and complete jobs, data services, and routes growing steadily on the way to General Availability.
Public Preview available now, in the September release of Studio, for Qlik Talend Cloud Premium and Enterprise customers.
▶ Can't see the video? Click here to watch directly from Qlik's video page.
▶ Try the interactive demo: https://tour.qlik.com/share/fw6avjgejqao
▶ Read the blog entry: https://community.qlik.com/t5/Product-Innovation/Introducing-the-Qlik-Talend-Studio-AI-Assistant-now-in-Public/ba-p/2556593
Agentic Data Stewardship keeps a human in charge while agents do the legwork. Agents use data profiling results and validation rules to proactively identify data quality issues and recommend fixes, and your data stewards can decide which fixes to approve or refine each action before they are applied. The result is higher stewardship productivity, more accurate data, and a shorter proactive path from raw data to something people can trust and use, while meeting governance.
Agentic Data Stewardship generally available as of August 27, 2026.
▶ Can't see the video? Click here to watch directly from Qlik's video page.
▶ Try the interactive demo: https://tour.qlik.com/share/urtxe980s77p
MCP Tools for Declarative Pipelines came out of a request we heard again and again in testing: developers wanted to look inside their Qlik tenant while building. New lookup tools let data engineers and coding agents ask, in natural language, for details about existing pipeline projects. That means newly generated pipelines use valid names and land in existing data spaces, with fewer errors and shorter development cycles.
MCP Tools for Declarative Pipelines generally available as of August 25th, 2026.
▶ Can't see the video? Click here to watch directly from Qlik's video page.
▶ Read the blog entry: https://community.qlik.com/t5/Product-Innovation/Qlik-MCP-Just-Got-Smarter-About-Data-Pipelines-with-Three-New/ba-p/2555436More choice, more control
Enterprise AI has to fit the environment it runs in. This release widens that fit.
Try new capabilities on your terms with Feature Preview. You can now browse upcoming features, turn them on for yourself, and turn them off whenever you like, with no waiting. You can share feedback on what you test, and tenant admins control who has access, so rollout stays managed at the organization level. Look for the feature preview section in your user profile settings.
Feature preview generally available as of September 9th, 2026.
▶ Can't see the video? Click here to watch directly from Qlik's video page.
▶ Read the blog entry: Introducing feature previews! - Qlik Community - 2556092
More cloud choice. Open Lakehouse support for Google Cloud arrives in public preview in November, extending support beyond AWS. With this new capability, customers can now build Iceberg-based lakehouses on Google Cloud Storage and mirror their data into BigQuery (read more here). What’s more, Qlik Replicate can now act as a source for Open Lakehouse. Qlik Replicate customers on AWS or Google Cloud (in preview) can now write and optimize data in Apache Iceberg format through the new integration between Qlik Replicate and Open Lakehouse.
Qlik Replicate Source for Open Lakehouse generally available as of June 26th, 2026 – read more here.Developer flexibility. The Modern Script Editor and a new VS Code extension bring Qlik development into the tools your developers already use.
Modern Script Editor available in Public Preview now and general availability coming soon in Q4, 2026.
Qlik for VS Code extension generally available as of November 3rd, 2026▶ Can't see the video? Click here to watch directly from Qlik's video page.
▶ Can't see the video? Click here to watch directly from Qlik's video page.
Enterprise control and readiness. AWS PrivateLink is generally available, and ISO 9001 certification is complete. Usage Bank is headed to preview this quarter, and further regulatory coverage, including France HDS, EU NIS2 alignment, and Italian ACN Level 1, is on the way.
October 28 Recap Wrap-up
The pattern across all of this is the same: AI is only as good as the context behind it. Semantic Models give analytics and AI a single governed definition of your business. Qlik Answers and the AI Assistant for Qlik Talend Studio put that context to work. Agentic Data Stewardship and MCP tools for Declarative Pipelines carry the same trust upstream into your data engineering. Feature Preview lets you test what's next on your own terms.
Join us for the Qlik Product Recap Launch on October 28, try the demos above, and visit the Product Recap page to see everything in one place.
Resources to Learn More:
- Press release: Semantic Models for Shared Business Context Across Analytics and AI
- Corporate Blog - AI Needs to Know What Your Data Means, and Whether to Trust It
- October Qlik Product Recap | Qlik.com
- Roadmap: Qlik.com | Qlik Insider Webinar
- Statement of Direction 2026-2027
- Documentation | help.qlik.com
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Upcoming deprecation of Qlik Analytics charts in May 2027
Qlik constantly refines its Analytics, over time replacing old charts with new, modernized alternatives. These deprecations are announced well in adva... Show MoreQlik constantly refines its Analytics, over time replacing old charts with new, modernized alternatives. These deprecations are announced well in advance and come with instructions on how to best replace these old charts, whether that is to use a new one, several new ones, or make use of new settings.
This blog post covers the deprecation of charts in May 2027 and offers you guidance on how to replace them.
What charts are being deprecated and when?
The following seven visualization bundle charts are up for deprecation in May 2027. Most have already been removed from the asset panel and are no longer a part of recent applications.
- The Bar and Area chart
- The old Bullet chart
- The old Heatmap chart
- The Button for navigation
- The Share button
- The Show/Hide container
- The old Tabbed container
- The Multi KPI
What do I use instead?
Since these are old charts, most are no longer in use. If you happen to still have a very old application and need to replace deprecated charts, see Visualization bundle > Deprecated charts for more information on what to use instead.
How do I find out if my apps are using the deprecated charts?
Qlik recommends reviewing your apps for old charts. Depending on your platform (Qlik Cloud or Client-managed), there are different methods you can deploy.
Qlik Cloud
Qlik Cloud administrators should use the Qlik Cloud Monitoring Apps to track the usage. The App Analyzer has a sheet dedicated to where deprecated charts are being used on a tenant in Qlik Cloud. The App Analyzer is based on usage events rather than scanning every app. Use the App Analyzer to find which apps and sheets have charts that need to be updated to newer and more modern alternatives. The easiest way to install and update the Qlik Cloud Monitoring Apps is to use the automation template. If you already have the App Analyzer, just remove the automation and install a new one to get the latest version of the App Analyzer.
Client-managed
For client-managed installations, use the Content Monitor app, included in every Qlik Sense Enterprise on Windows installation beginning with the May 2026 release.
The Content Monitor has a sheet for tracking deprecated charts. At reload, the Content Monitor app scans every app in the installation to list all applications and sheets that are using charts that are being deprecated. It also lists the installed extensions and their deprecation status.
If you want to track usage in prior versions, download the Qlik Sense Content Monitor from the Qlik download page. It comes bundled with the required Object Scanner.
Thank you for choosing Qlik,
Qlik Support -
One FinOps Model, Three Platforms: FOCUS™ Cost & Usage Apps for Databricks, Snow...
Summary Three free Qlik Cloud Analytics apps, one each for Databricks, Snowflake and AWS, analyse consumption and spend using the FOCUS™ (FinOps Open... Show MoreSummary
- Three free Qlik Cloud Analytics apps, one each for Databricks, Snowflake and AWS, analyse consumption and spend using the FOCUS™ (FinOps Open Cost & Usage Specification) data model.
- All three share the same sheets, master measures and field names. A FinOps team learns one app and can read all three platforms the same way.
- Paired with Discovery Agent, each app evaluates spend after every reload and pushes statistically significant changes, such as a record-high billed cost, straight into each user's Feed. Nobody has to open a dashboard to see them.
- Each app is exported without data and published on GitHub with a step-by-step setup guide. Upload the app, create one connection, and reload.
Why FOCUS, and why now
Consumption-based platforms bill on usage. Every warehouse resumed, cluster started, query run and model served moves the bill, and the month-end invoice arrives too late to change the outcome. The FinOps lifecycle asks teams to Inform (visibility and allocation), Optimize (rates and usage) and Operate (continuous governance). Each phase depends on cost data that is timely, trustworthy and comparable across providers.
That last point has been the hard part. Every vendor has its own billing schema, units and terminology. FOCUS™, from the FinOps Foundation, fixes this with a common, vendor-neutral model for cost and usage data: the same
BilledCost,EffectiveCost,ListCost,ServiceCategory,SubAccountNameandChargePeriodStartcolumns, whatever the source. Databricks, Snowflake and AWS all now provide billing data in FOCUS format, so one Qlik app design can serve all three.The three apps
App Source FOCUS version Repository Databricks FOCUS Cost & Usage Unity Catalog system tables ( system.billing.usage,list_prices, …) mapped to FOCUS with Databricks' published query1.4 Qlik-PE/databricks-examples Snowflake FOCUS Cost & Usage The SNOWFLAKE.BILLING.FOCUS_COST_USAGE_V1_3view, across every account in the organization1.3 Qlik-PE/snowflake-examples AWS FOCUS Cost & Usage AWS Data Exports, table FOCUS 1.2 with AWS columns, delivered as Parquet to Amazon S3 1.2 Qlik-PE/aws-examples Each app loads FOCUS charge data into the Qlik Associative Engine. There it can be explored across any combination of account, service, region, provider and charge type, without pre-built queries or separate reports.
What every app contains
The same sheets ship in all three apps. They can be customized, changed or removed to fit your organization.
Sheet What it answers Billing Overview Billed, Contracted and Effective Cost by account, service and provider, for the period picked in the Period selector (today, last week, this year, …) 1. Daily Anomalies Which days and services spent unusually: a 7-day average + 2σ band on the daily trend, and a z-score per sub-account, region and service 2. Month-over-Month Services How service costs changed between the last complete month (M-1) and the one before (M-2), plus month to date and forecast 3. Month-End Forecast Where the current month will land: settled month to date + 7-day run rate × remaining days 4. Price vs Volume Whether a change came from using more (volume), paying a different rate (price) or new and dropped services (mix), calculated per pricing unit 5. AI & ML Spend What AI services cost (Databricks Model Serving and Vector Search, Snowflake Cortex, Amazon Bedrock and SageMaker): spend, share and breakdown by service and account The FOCUS cost measures sit side by side, so FinOps teams can reconcile to the invoice and quantify negotiated discounts:
- List Cost: public price × pricing quantity
- Contracted Cost: negotiated price × pricing quantity
- Billed Cost: the amount invoiced
- Effective Cost: amortized cost after commitments such as Savings Plans, Reserved Instances or capacity contracts
Together they support the core FinOps capabilities: allocation, reporting and analytics, anomaly management, forecasting, rate optimization and invoice reconciliation.
From dashboards to a Feed: Discovery Agent
Dashboards only work when someone checks them. Rules-based alerts help, but they need hand-tuned thresholds, constant maintenance and only catch the problems you already expect, which leads to alert fatigue.
Discovery Agent is the monitoring layer of Qlik's agentic AI framework. It changes analytics from pull (users query dashboards) to push (the platform delivers insights as conditions change). Once enabled on an app, it evaluates the data model after each reload with three mechanisms:
- Dynamic baselines: time-series forecasting sets an expected range for each tracked cost metric, and it adjusts as usage patterns change, with no manual recalibration.
- Intelligent thresholding: routine noise is suppressed. Only deviations that are statistically significant relative to normal variation are surfaced.
- Associative evaluation: running on the Qlik Associative Engine, it sees a change in the context of every related dimension. For example, it can tell that a spike is concentrated in one account, one service and one charge description.
The result arrives in each user's personal Feed in the Qlik Cloud Analytics Hub. Each insight comes with a plain-language explanation, the size of the change and a link to the source app.
Discovery Agent Feed: two record-high Billed Cost insights, one broken down by provider and one by charge description, each explained in plain language.
From any insight, Explore further in Answers opens Qlik Answers on the same app. You can ask follow-up questions in natural language and get the answer as text, a chart and a table, without leaving the Hub.
Qlik Answers: comparing the flagged charge description with all others and ranking the main cost drivers.
A good starting configuration, the same for all three apps, is one insight trigger group on Billed Cost (USD):
- time dimension
BillingPeriod - daily, weekly and monthly periods
- breakdowns by
SubAccountName(orBillingAccountName),ServiceNameandChargeDescription
Getting started
- Pick your platform and download the
.qvffrom its repository: Databricks, Snowflake or AWS. - Prepare the source with a dedicated, read-only identity: - Databricks: a service principal with
SELECTon the billing, access, compute and lakeflow system tables, plus a SQL warehouse. - Snowflake: a role grantedSNOWFLAKE.ORGANIZATION_BILLING_VIEWERon an org-enabled account. - AWS: a FOCUS 1.2 with AWS columns data export to S3, plus an IAM user with read-only access to the export prefix. - Upload the app to a shared space in Qlik Cloud and create the matching connection (Databricks, Snowflake or Amazon S3 V2).
- Update one line in the load script to point at your connection, then reload.
- Validate a closed month against your platform's billing console, then schedule a daily reload.
- Turn on Discovery Agent: enable cross-region data processing in the Administration console, assign the Discovery Agent role, enable it on the app and create the trigger group above.
Each repository's README has the full prerequisites, grant scripts, connection settings and troubleshooting.
Good to know
- Freshness differs by source. The Snowflake view refreshes hourly but can lag up to 72 hours. AWS refreshes the export at least daily. Databricks system tables update throughout the day. On every platform, values for an open month can change until month close, so treat in-month forecasts as provisional.
- Billed Cost is the invoice amount. If credits cover your usage (for example AWS promotional or free-tier credits), Billed Cost can be $0 while the billing console still shows consumption. The AWS app adds Usage Cost and Credits measures for exactly this case.
- Allocation depth follows the source. Where a FOCUS source doesn't populate resource or tag columns, allocation stays at the account and service level.
Resources
- Apps and setup guides: Databricks · Snowflake · AWS
- Discovery Agent documentation
- Databricks FOCUS mapping query
- Snowflake FOCUS_COST_USAGE_V1_3 view
- AWS Data Exports
- FOCUS specification · FinOps Foundation
Have you tried one of the apps, or adapted it to another FOCUS source? Share your feedback and your own sheets in the comments.
FOCUS™ is a trademark of the FinOps Foundation.
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Qlik MCP Server: Tips and Tricks
Over the past few weeks, I have been testing the Qlik MCP Server with Claude. I wanted to see what happens when we go beyond asking an AI assistant si... Show MoreOver the past few weeks, I have been testing the Qlik MCP Server with Claude. I wanted to see what happens when we go beyond asking an AI assistant simple questions and use it to investigate data through the Qlik Engine.
In this post, we are going to take a quick look at what MCP is, how it connects to Qlik Cloud, and some tips and lessons I learned during my testing that will help you get the most out of it.
What is MCP, anyway?
Model Context Protocol (MCP) is an open standard that lets AI applications connect to external systems and tools:
- Think of your AI assistant as a waiter and Qlik Cloud as the restaurant kitchen. MCP is the common ordering language they both understand
- The Qlik MCP Server provides the menu of available Qlik tools, passes the assistant's requests to Qlik, and returns the results back to the assistant.
- When you ask a question like "Why did sales drop?", your assistant decides which tools to call, Qlik performs the requested calculations in the engine, and the assistant explains the findings.
- MCP isn't another AI model, and it doesn't bypass your existing Qlik Cloud permissions or Section Access.
You can read more about how it works in the official MCP introduction and the Qlik MCP documentation.
Tips & Tricks:
Start with a well-described app:
- Master Measure descriptions really matter when working with an AI assistant. When the assistant calls qlik_list_measures, it relies on those descriptions to pick the right calculation.
- In one of my test apps, two margin calculations looked almost identical, and their descriptions were what helped the assistant choose the right one. Make sure to explain what each measure includes, what it excludes, and when to use it.
- I also recommend asking the assistant to inspect the data model and field values first before running any analysis:
- Pairing qlik_get_data_model with qlik_get_field_values early on helped me flag a blank country value that later affected an expression.
Point it to the right app:
- If you already know which app you want to work with, provide its name or App ID right in your prompt.
- Then, have the assistant inspect the app metadata, fields, and master items (qlik_describe_app, qlik_get_fields, qlik_list_dimensions, and qlik_list_measures) once at the start of your session.
- In my tests, open-ended discovery took five to seven tool calls. Repeating that discovery process unnecessarily adds overhead and wastes tool calls.
Ask a business question, don’t ask for a chart:
- Asking "Show me sales by year" will just give you a basic summary.
- Asking "Why did sales fall this year?" led to an investigation where the assistant separated customers who stopped buying altogether from those who simply bought less.
- Give the assistant a real business problem to solve, and ask it to show you the evidence behind its conclusions.
Investigate what's missing (Excluded Values):
- This was my favorite experiment. Using the a sales app as an example, I asked why 2026 sales dropped compared to 2025.
- Instead of only looking at the remaining sales, the assistant checked who was missing in 2026 and found that 3 of 9 salespeople and 58 of 90 customers had no 2026 sales records at all.
- Qlik's E() element function makes this easy to do in set analysis: Customer=E({1<Year={2026}>} Customer)
- This set modifier finds all customers excluded by the 2026 selection across the full dataset, which is a great starting point for investigating lost business.
Let Qlik do the math:
- Always ask the assistant to run calculations inside the Qlik Engine (using qlik_create_data_object) rather than adding up rows returned to the LLM.
- During my testing, temporary data-object queries returned 50 rows at a time even when more rows existed. That is an observation from my test environment rather than a documented universal limit, so it is important to watch out for truncated results.
- Have the assistant check the totalRows property in the response, aggregate directly in the Qlik Engine, or request a focused top-N result.
Watch persistent selections:
- Selections applied via qlik_select_values persist across MCP calls until they are cleared with qlik_clear_selections, which means a filter from an earlier step might affect your next total.
- You can check active filters at any time using qlik_get_current_selections:
- Use {1<Year={2026}>} in your set analysis when a calculation needs to ignore current selections.
- Use {$<...>} when you want the calculation to respect the current selection state.
Ask the assistant to check its work:
- One of my favorite follow-up prompts is: "Show the expressions, reconcile the totals, and separate observations from hypotheses."
- Always have the assistant verify field values using qlik_search_field_values or qlik_get_field_values before putting them into selections or set modifiers.
- A valid expression filtering on a nonexistent value will fail silently or return zero without warning, and a zero result doesn't always mean zero business activity.
Turn findings into action:
- Beyond answering questions, Qlik MCP supports creating sheets (qlik_create_sheet), charts (qlik_add_chart), bookmarks (qlik_create_bookmark), and automations (qlik_create_automation), all subject to your existing Qlik Cloud permissions.
- A good workflow is to ask the assistant to propose a plan first, and then approve what you want it to create.
- For important findings, you can also ask it to check dataset freshness (qlik_get_dataset_freshness) and upstream lineage (qlik_get_lineage) to validate the underlying data.
That’s all, I hope you found this post helpful! Do not forget to check out the Qlik MCP tools guide on Qlik Help, which covers all the available tools and additional use cases.
If you have been experimenting with Qlik MCP, what tips or unexpected behaviors have you found? I'd love to hear about them in the comments!
Thanks for reading!
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Qlik Cloud - Patched for PHP Vulnerabilities
A security issue has been remediated in Qlik Cloud related to the 2 critical PHP vulnerabilities released today (CVE-2026-109618 and CVE-2026-109619).... Show MoreA security issue has been remediated in Qlik Cloud related to the 2 critical PHP vulnerabilities released today (CVE-2026-109618 and CVE-2026-109619).
Only Qlik Cloud was impacted. Other Qlik products are NOT impacted.
The information in this post is disclosed in accordance with our published Security and Vulnerability Policies.
If you have any additional questions or concerns, you may contact our team directly at security@qlik.com.
Thank you for choosing Qlik,
The Qlik Security Team
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Welcome to the MVP Program: Priscila, Mikael, Rafael & Sunil!
Big news! We’re delighted to announce that @priscilarubim , @mikaelsc , @rafaelencinas , and @SunilChauhan are officially joining the Qlik Community ... Show MoreBig news! We’re delighted to announce that @priscilarubim , @mikaelsc , @rafaelencinas , and @SunilChauhan are officially joining the Qlik Community MVP Program!
Being an MVP is about much more than a title. It reflects deep knowledge, a generous spirit, and a real dedication to helping others succeed with Qlik. Priscila, Mikael, Rafael, and Sunil have shown all of this time and again, showing up consistently, sharing practical answers, and lifting up the people around them.
Whether they’re untangling a tricky question, offering a fresh perspective, or simply taking the time to help someone get unstuck, each of them has made the Community a better place to learn and connect. Their contributions haven’t gone unnoticed, and we’re proud to recognize them.
Please help us give them a warm welcome as they become part of our global network of Qlik experts and advocates. We can’t wait to see what they do next. Welcome to the MVP family!
Your Qlik Community Managers,
Caleb, Jamie, and Sarah
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Qlik and Claude: Trusted Analytics, Now Even Easier to Access
Qlik MCP Server · Claude Qlik and Claude: Trusted Analytics, Now Even Easier to Access The Qlik MCP Server is now available directly in Claude's An... Show MoreQlik MCP Server · ClaudeQlik and Claude: Trusted Analytics, Now Even Easier to Access
The Qlik MCP Server is now available directly in Claude's Anthropic Connectors Directory, making it easier than ever to bring your trusted Qlik data and analytics into Claude.
Good news for Qlik users! The Qlik MCP Server is now available directly in Claude's Anthropic Connectors Directory, making it easier than ever to bring your trusted Qlik data and analytics into Claude.
If you're already using Qlik Cloud, you can now connect Claude to your existing analytics environment to ask business questions, explore insights, and even create charts and sheets through natural language.
It's another way we're making Qlik's trusted analytics accessible wherever you choose to work with AI, giving you more flexibility to use the tools that work best for you.
Ask questions, explore insights, and build analytics
Imagine asking Claude:
“What's driving our margin decline this quarter?”
Claude can tap into Qlik's trusted data, business metrics, and analytical capabilities to help you find the answer, grounded in the same data and definitions your organization already uses.
Want to know which regions are contributing most? Ask a follow-up. Curious about the underlying trends? Keep exploring.
Build it in Qlik CloudYou can ask Claude to create charts, visualizations, and entire sheets directly in Qlik Cloud.
Describe what you need, whether it's a regional performance comparison or a dashboard for your next team meeting, and Claude can build it in your Qlik environment.
From there, you can explore, refine, and share it just like any other Qlik content.
Your AI tools. Your trusted Qlik data.
As more AI tools become part of our daily workflows, we want to make it easier for you to use Qlik's capabilities with the tools you prefer, without losing the trust and governance you've already built into your analytics.
With Qlik and Claude, you get the best of both:
Trusted dataWork with data your organization has already prepared and validated.
Governed accessYour existing Qlik permissions and security controls continue to govern access to Qlik data and analytics.
Business contextQlik's shared metrics, definitions, and analytical capabilities help Claude understand the meaning behind your numbers.
And because the connection uses Model Context Protocol (MCP), an open standard for connecting AI applications to external systems, it's part of a broader approach to making Qlik's analytics available across different AI experiences.
The idea is simple: you should have the freedom to choose how you work with AI, while continuing to get value from the Qlik data and analytics you already trust.
Ready to try it?
Find the Qlik MCP Server in Claude's Anthropic Connectors Directory, connect it to your Qlik Cloud environment, and start exploring.
Try asking a question about your business, follow the insights, and see what you can build.
And if you give it a try, we'd love to hear about your experience. What questions are you asking Claude, and what analytics are you creating in Qlik? Share your thoughts with the Community!
Your data. Your analytics. Your choice of AI.
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Watch! Q&A with Qlik: Reporting
Don't miss our previous Q&A with Qlik! Pull up a chair and chat with our panel of experts to help you get the most out of your Qlik experience. WA... Show MoreDon't miss our previous Q&A with Qlik! Pull up a chair and chat with our panel of experts to help you get the most out of your Qlik experience.
