Recent Blog Posts

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  Support Updates

  Qlik Cloud Analytics: "When data source is updated" event has returned

  When we introduced enhanced self-service scheduling in April 2025, we removed the When data is refreshed option, which had let reload schedules trigge... Show More

  When we introduced enhanced self-service scheduling in April 2025, we removed the When data is refreshed option, which had let reload schedules trigger automatically when a dependent dataset was updated. At the time, we weren't able to carry that capability forward into the new task-based scheduler right away.

  That capability is now returning. See What's New in Qlik Cloud and Scheduling data refreshes with tasks.

  In the task editor, under Based on > Event, you can now select When data is refreshed to trigger a task automatically when a data update is detected in an upstream Qlik Talend Data Integration project that loads data into an analytics application.

  The option is only available if the application is connected to a Qlik Talend Data Integration pipeline.

  This brings back the event-driven automation the old scheduler offered, now built natively into the new self-service scheduling framework, with full compatibility with the multi-task model.

   

  What does this mean for me? 

  If the application has an existing When data is refreshed schedule, this button might instead say Migrate. For applications with these schedules, clicking Migrate or Save will migrate all associated schedules to be individual tasks attached to the application.

  No other action is required.

   

  We're happy to assist with any follow-up questions. Reply to this blog post or take your queries to our Support Chat.

  Thank you for choosing Qlik,
  Qlik Support

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  By Sonja_Bauernfeind 2026-09-16 / 08:41 AM

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  Product Innovation

  Introducing feature previews!

  Until now we've filled that gap with informed guesses: research sessions, early access with a handful of design partners, support tickets after the fa... Show More

  Until now we've filled that gap with informed guesses: research sessions, early access with a handful of design partners, support tickets after the fact. All useful. None of it is the same as thousands of people using something in their own tenant, with their own data, on their own deadlines.

  That changes today. We're opening a feature preview program inside Qlik Cloud.

  How it works

  No support ticket, no waiting for a rollout window, no additional cost. Once a tenant admin activates the program, previews appear in the product and you switch on the ones you want. Turning one off is just as easy.

  Two things worth knowing:

  Previews are per user. Enabling one lets you try something without committing your whole team to it, so it doesn't change anything for your colleagues.

  Previews are real features; you can point them at real content to test them, but please don't use them in production workflows. While things are still moving, we'd suggest starting somewhere low-stakes.

  We're starting with three

  

  Pages. A more flexible canvas for laying out and sharing operational content. Sheets are built for analysis; pages are built for arrival. Assemble the things a team needs to see first, in the order that makes sense to them, and give them one place to land instead of a folder of links.

  Improved load script editing. A clearer editor for the work that actually happens in the script. If you spend real hours in there, this is the version of it you've been asking for, dark mode included.

  Improved themes and chart defaults. Better-looking charts before you touch a single setting, and more consistency across the app without anyone policing it. 

  These won't be perfect

  That's the point. A preview may have rough edges, may change shape between now and general availability, and may not do the one thing you most want it to do yet. Tell us. Feedback reaches the teams building these while there's still time for it to change something, which is the whole reason the program exists.

  Go find them. Tell us what needs to improve.
  
  Public Previews - Qlik Community
  Feature preview | Qlik Cloud Help
  Managing feature preview for your tenant | Qlik Cloud Help

  Footnote: a tenant admin needs to activate the feature preview program.

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  By Marcus_Tannerfalk 2026-09-09 / 03:36 PM

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  Qlik Academic Program

  From Analytics to AI: Building Skills for the Future

  Strong Analytics Skills Still Matter Before students can really benefit from AI, they need a good understanding of data. They need to know how to expl... Show More

  Strong Analytics Skills Still Matter

  Before students can really benefit from AI, they need a good understanding of data.

  They need to know how to explore information, spot patterns, question results, build visualizations, and explain what they have found.

  AI does not replace these skills. In many ways, it makes them even more important.

  Students still need to be able to look at an answer and ask whether it makes sense, what data sits behind it, and whether the result can be trusted.

  That kind of thinking is what gives them a solid base to build on.

  Qualifications Help Students Show What They Know

  It is one thing to learn a new skill. It is another to be able to demonstrate it.

  Through the Qlik Academic Program, students have access to structured learning and Qlik qualifications that allow them to show what they have learned.

  For someone applying for an internship, graduate programme, or first job, having a qualification on a CV or LinkedIn profile can be a useful way to show practical experience alongside academic study.

  It also gives students something concrete to work towards.

  Learning Is Moving Further Into AI

  The learning journey is also expanding beyond traditional analytics.

  On the Qlik Learning platform, students can now explore topics including AI and machine learning, Qlik Predict, Qlik Answers, and Model Context Protocol (MCP).

  With Qlik Predict, students can get hands-on experience with predictive analytics and machine learning, and see how historical data can be used to identify patterns and support predictions.

  Qlik Answers introduces a different way of working with information, allowing users to ask questions in natural language and explore trusted content in a more conversational way.

  And MCP gives students some insight into how AI assistants can connect with external tools, systems, and enterprise data.

  These topics are becoming more relevant across many different roles, not only highly technical ones.

  Not Every Student Needs to Become an AI Expert

  A business student, marketer, finance student, engineer, or future analyst will not use AI in exactly the same way.

  And that is fine.

  The goal is not for every student to become a machine learning specialist. It is to give them enough exposure to understand what these technologies can do, where they can be useful, and how to work with them thoughtfully.

  A student might start with data visualization, move on to a qualification, then explore predictive analytics or generative AI. That progression can happen step by step.

  Preparing Students for What Comes Next

  One of the most useful things we can help students develop is the confidence to keep learning.

  The tools they use today will keep changing, and the technologies they encounter in a few years may look very different again.

  Through the Qlik Academic Program, eligible university students and educators can access Qlik technology, learning resources, product training, and qualifications for free.

  The aim is not only to help students learn analytics. It is to give them practical experience, exposure to newer technologies, and a stronger foundation for whatever comes next.

  Ready to explore analytics and AI learning with Qlik?

  Learn more and apply for free at qlik.com/academicprogram.

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  By ElizCayirli 2026-09-14 / 12:05 PM

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  Product Innovation

  Same As It Never Was: Why MCP Is Creating a New Audience for Your Real-Time Data

  MCP: The Standard Nobody Knew They Needed MCP is, at its simplest, an open standard that lets an AI agent ask a system for exactly the information it ... Show More

  MCP: The Standard Nobody Knew They Needed

  MCP is, at its simplest, an open standard that lets an AI agent ask a system for exactly the information it needs - governed, structured, and specific - instead of scraping a dashboard, hoping an API returns something useful, or getting handed a data export and told to figure it out. That distinction matters more than it sounds.

  Ask any Agentic Data Engineer building with large language models, and they'll tell you an agent is only as good as the context it's given. Starve it of context, and it doesn't just get things wrong; it starts brute-forcing a guess, burning through tokens and compute hunting for information it should have been handed outright. That's not a hypothetical cost. It's the difference between an agent that acts fast and cheap and one that acts slow, expensive, and occasionally wrong in ways nobody notices until it’s too late.

  MCP as a standard has been gaining popularity, and its momentum is building fast. MongoDB's Atlas Managed MCP Server gave coding agents direct, governed access to live operational data months ago. AWS took Bedrock AgentCore Web Search - a managed tool that lets agents fetch live, cited context without data leaving a customer's account - to general availability not long after. Google's A2A protocol landed under Linux Foundation-style governance alongside MCP itself. Each of those moments is a standard quietly becoming the default.

  More Taps, Same Aquifer

  The MCP momentum continues to build. Qlik expanded its MCP server onto the AWS and Databricks Marketplaces, putting governed data access, lineage, and metrics directly in front of agents running in those environments. SAP shipped a public MCP server for BTP administration (but not transactional data), letting agents query entitlements and provision environments conversationally. At API World in Santa Clara, Postman, Kong, and Apigee spent the show repositioning their gateways as control planes for agents rather than humans, while Apollo GraphQL also shipped its own MCP server.

  No one is betting on something unproven. Anthropic open-sourced MCP back in November 2024; OpenAI had adopted it across its own Agents SDK and ChatGPT within months, with Google and Microsoft following not long after. What's new isn't the protocol - it's who's building on it now. Data, analytics, ERP administration, and API infrastructure all transitioned through the same handoff mechanism independently. These recent announcements aren't the start of this trend, but they're its loudest proof points yet, and it shows no sign of stopping.

  What's actually shifted, underneath it all, is who the audience for real-time data is now. Traditionally, data flowed into reports and dashboards that a person checked on an alert or their own schedule - end of day, start of the week, whenever someone remembered to look. Increasingly, it's wired to flow straight to an agent that acts the moment it changes, with no human checkpoint unless someone deliberately builds one in. That's a genuinely different relationship between a business and its own data, not just a faster version of the old one.

  Mind the Tap - Caution before you fully open it

  In late August, OpenAI disclosed that roughly 1,200 of its own sandboxed AI agents - running in an internal security exercise, each meant to have no idea the others existed - found an unintended way to talk to each other, coordinated at scale, and used that coordination to breach Hugging Face's production servers. Per OpenAI's own report, most of the agents' efforts were spent beating a scoring check that, it turned out, didn't even exist. Worth a read if you want the full, slightly bizarre story: Forbes, "OpenAI Report Says 1,200 Agents Coordinated The Hugging Face Breach".

  Another example from around the same stretch: an Australian man asked his AI agent to book him a gym class, and it instead found and exploited a flaw in the venue's waitlist API to jump him up the queue. Different scale, same root behaviour - an agent chasing a goal creatively, down a route its owner never intended, without pausing to check.

  The lesson here for organisations racing to wire agents directly into governed data via MCP isn't "don't do this." It's that the more directly agents are handed access, the more the human-in-the-loop checkpoint matters, not less. Governance isn't a brake on the trend. It's what makes opening more taps safe to keep doing.

  The flow was never really the thing that changed. Data has always moved beneath the business, same as it ever was, whether anyone below the surface was watching. What's changed is who's on the other end of the tap - and how carefully somebody's watching it.

  See what your data looks like from the other end of the tap. Request a demo of Qlik's MCP Server and give your agents governed, real-time context instead of guesswork.

  Already using MCP and Qlik Talend Cloud? Check out this post from my friend and mentor, Clive Bearman, on the latest developments with Agentic Data Pipelines  

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  By Adam_Mayer 2026-09-11 / 07:54 AM

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  Support Updates

  Introducing Qlik Cloud Public Feature Previews for everyone

  Our recently launched Public Previews give you early, hands-on access to what's coming next in Qlik Cloud, before the previewed features are generally... Show More

  Our recently launched Public Previews give you early, hands-on access to what's coming next in Qlik Cloud, before the previewed features are generally available. Try new capabilities, shape their direction with your feedback, and stay ahead of the latest features.

  Public Previews are enabled by default for most users and are directly accessible from your profile:

  

  A tenant admin needs to activate the feature preview program.

  Read all about it in Introducing feature previews (Innovation Blog).

   

  The Highlights

  • Shape the roadmap: Share your feedback directly in the product and inform how Qlik Cloud evolves. 
  • Stay up to date: Join Public Previews on Qlik Community, where our product team will advertise the available preview features.
  • You control your experience: Turn your personal preview experience on or off at any time - and as a tenant admin, manage who has access to the previews through a custom role. 

   

  Ready to know more?

  Getting started is quick and easy. Here is all you need:

  • Public Previews | Qlik Community 

  • Introducing feature previews

  • Managing feature preview for your tenant 
  • What's New | Qlik Help

   

  Thank you for choosing Qlik,
  Qlik Support

   

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  By Sonja_Bauernfeind 2026-09-10 / 08:00 AM

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  Support Updates

  ODBC Connector for Qlik Sense Enterprise on Windows: Upcoming End of Support for...

  Effective in the Qlik Sense Enterprise on Windows November 2026 release, and in the latest patches for May 2025, November 2025, and May 2026, the ODBC... Show More

  Effective in the Qlik Sense Enterprise on Windows November 2026 release, and in the latest patches for May 2025, November 2025, and May 2026, the ODBC connector used by Qlik Sense Enterprise on Windows will no longer support connections secured with TLS 1.0 or TLS 1.1. To maintain uninterrupted connectivity, customers should upgrade their environments to use TLS 1.2 or higher ahead of applying these releases or patches.

  Refer to the release notes upon release of the affected versions for details.

   

  Why is this happening?

  TLS 1.0 and TLS 1.1 are legacy encryption protocols that are no longer considered secure and have been deprecated across the industry for several years. Removing support for these older protocols in the ODBC connector aligns Qlik's connectivity stack with current security standards and reduces exposure to known vulnerabilities in outdated TLS implementations.

   

  Who is affected?

  This change affects the ODBC connector in Qlik Sense Enterprise on Windows only. At this point, Qlik Sense Desktop and QlikView are not affected by this change.

  Any data source connection made through the ODBC connector in Qlik Sense Enterprise on Windows that relies on TLS 1.0 or TLS 1.1 will be affected once support is removed, regardless of whether the TLS version is enforced by the data source itself, a network intermediary, or the client driver configuration.

   

  What does this mean for me?

  If your data source, ODBC driver, or the underlying operating system is currently configured to negotiate connections using only TLS 1.0 or TLS 1.1, those connections will fail once you move to a version of Qlik Sense Enterprise on Windows that removes TLS 1.0 or TLS 1.1 support.

  Reload tasks, extensions, and any other workflows using affected ODBC connections will no longer be able to connect to the data source.

   

  What should I do?

  Review and upgrade your environment so that all ODBC connections negotiate TLS 1.2 or greater before you upgrade Qlik Sense Enterprise on Windows. 

  
  Questions?

  If you have questions or need assistance planning your upgrade, our forums are open to you, and Support is only a chat away.

   

  Thank you for choosing Qlik,
  Qlik Support

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  By Sonja_Bauernfeind 2026-09-03 / 09:20 AM

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  Support Updates

  Action required: Qlik Automate ServiceNow connector migration to OAuth 2.0, June...

  Qlik Automate's ServiceNow connector is moving from username and password authentication to OAuth 2.0. This change aligns with security best practices... Show More

  Qlik Automate's ServiceNow connector is moving from username and password authentication to OAuth 2.0. This change aligns with security best practices and ServiceNow's own recommendations for third-party integrations, eliminating the need to store credentials in plain text and providing more granular, revocable access control.

   

  When will this change be made?

  The change will go into effect on the 23rd of June, 2026.

   

  What action do I need to take?

  Existing connections that use username and password authentication will need to be re-authenticated using OAuth 2.0. Complete the re-authentication steps as outlined in this blog post on the 23rd of June to prevent possible service interruptions. 

   

  How do I switch my ServiceNow connection to OAuth 2.0?

  ServiceNow provides guidance on each stage of the OAuth 2.0 setup. See the following for details:

  • OAuth 2.0 Overview
  • Set up OAuth 
  • OAuth Inbound 
  • OAuth Inbound and Outbound authentication 
  • Enable OAuth with inbound REST

   

  To migrate your Qlik Automate connector, first prepare ServiceNow by configuring OAuth 2.0, then re-authenticate Qlik Automate on the 23rd of June.

  Before you begin, make sure you have Admin access to your ServiceNow instance and Admin or Owner access to your Qlik Cloud tenant and the relevant Qlik Automate automation.

  1. Open the Application Manager in ServiceNow:

     The OAuth 2.0 plugin must be available in your ServiceNow instance.

     1. Log in to your ServiceNow instance.
     2. Click the All button in the top-left navigation bar and search for Application Manager.
     3. Select Application Manager from the results under Admin Center.
  2. In the Application Manager, use the Search your licensed applications and plugins field to search for OAuth. The ServiceNow products OAuth tile will appear in the results.
  3. Click the OAuth tile to expand it, then install the OAuth 2.0 plugin (Plugin ID: com.snc.platform.security.oauth). Wait for the installation to complete before proceeding.
  4. Navigate to Inbound Integrations:
     1. Click the All button again and search for Inbound Integrations.
     2. Select it from under System OAuth in the results.
  5. Create a new OAuth application endpoint:
     1. Click the New Integration button on the right.
     2. On the connection type screen, select OAuth – Authorization code grant.
     3. Configure the application by providing a Name, the Redirect URL, and the required scopes.

        When prompted for a Redirect URL, use the callback URL provided by Qlik Automate during the connection setup. This URL must exactly match what is registered in ServiceNow.

     4. Save the Client ID and Client Secret; they are required for the next step. 
     5. Click Save.
  6. Re-authenticate the connector in Qlik Automate

     This step can only be carried out after the change on the 23rd of June, 2026.

     1. In Qlik Automate, add a new ServiceNow connection.
     2. Enter your ServiceNow instance domain (format: https://[domain].service-now.com/).
     3. Provide the Client ID and Client Secret previously recorded.
     4. Follow the on-screen authentication flow to complete the OAuth authorisation.

   

  If you encounter issues during the migration, please contact Qlik Support or visit the Qlik Community for assistance. When raising a support case, include your ServiceNow instance domain and the error message you are seeing.

   

  Thank you for choosing Qlik,
  Qlik Support

   

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  By Sonja_Bauernfeind 2026-05-25 / 08:00 AM

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  Qlik Academic Program

  Qlik Datathon 2026: Empowering Future Leaders to "Think Like a Manager"

  On 13 August 2026, Kristu Jayanti University successfully hosted the third edition of the Qlik Datathon 2026, themed "Think Like a Manager." This flag... Show More

  On 13 August 2026, Kristu Jayanti University successfully hosted the third edition of the Qlik Datathon 2026, themed "Think Like a Manager." This flagship analytics competition brought together aspiring data professionals, encouraging them to apply analytics, artificial intelligence, and business thinking to solve real-world challenges.

  This year's event marked a significant milestone as the first-ever inter-university Qlik Datathon, creating a larger platform for collaboration, innovation, and healthy competition among students from leading institutions.

  An Event of Scale and Impact

  The Datathon witnessed remarkable participation, with:

  • 70 registered teams
  • 274 student participants
  • Teams comprising four members each
  • Representation from multiple campuses and institutions specializing in Data Science, Analytics, AI, and Machine Learning

  Participating institutions included:

  • Kristu Jayanti University
  • Christ University ( two campuses)

  Learning Before Competing

  The event commenced with a dedicated bootcamp designed to prepare students for the challenge ahead. The bootcamp was conducted by Qlik Educator Ambassador, Manikant Roy, Ph.D. Candidate from IIT Delhi, who provided valuable guidance and insights to help participants approach complex business problems through a data-driven lens.

  The Datathon itself challenged students to move beyond technical analysis and truly" Think Like a Manager" by interpreting data, identifying business opportunities, and presenting actionable recommendations. This approach reflects the skills increasingly demanded by organizations seeking analytical professionals who can bridge the gap between data and decision-making.

  Industry Collaboration at the Core

  One of the highlights of the event was the strong collaboration between academia and industry. The final evaluation round was conducted by Qlik and its partner Gain Insight Solutions, ensuring that participating teams were assessed against real-world industry expectations and business standards.

  

  

  Inaugural ceremony

  The event was further enriched by the presence of Qlik Luminary Vivek Shah from Goldman Sachs, who served as the Chief Guest. His insights into analytics, technology, and industry applications provided students with valuable perspectives on how data-driven decision-making is transforming modern enterprises.

  

  Vivek Shah, Qlik Luminary, from Goldman Sachs

  Building the Next Generation of Data Leaders

  The success of Qlik Datathon 2026 demonstrates the growing enthusiasm among students for analytics, artificial intelligence, and data-driven problem solving. More importantly, it highlights the importance of developing future professionals who can combine technical expertise with strategic business thinking.

  As universities continue to embrace experiential learning opportunities, initiatives such as the Qlik Datathon play a vital role in preparing students for careers in analytics and AI, while fostering collaboration between academia and industry.

  We congratulate all participating students, faculty members, judges, and organizers for making the first inter-university Qlik Datathon a resounding success and look forward to even greater impact in the years ahead.

  

  

  Participating students 

  

  Winning teams along with Qlik Partner, Gain Insights team members 

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  By Pankaj_Muthe 2026-08-31 / 06:16 AM

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  Product Innovation

  Qlik MCP Just Got Smarter About Data Pipelines with Three New Lookup Tools for A...

  Improving Declarative Pipeline Development If you've been building Qlik Talend Cloud pipelines declaratively with a coding agent like Anthropic's Clau... Show More

  Improving Declarative Pipeline Development

  If you've been building Qlik Talend Cloud pipelines declaratively with a coding agent like Anthropic's Claude Code or OpenAI's Codex, then you already know the productivity win. And if you've coded for any length of time, then you may have encountered a friction point where your agent needed a real connection name, or a real table ID, or a real value from your tenant, and template placeholders just won't cut it. Until now, that meant tabbing out of VS Code, opening the Qlik Cloud web app, and hunting down the answer by hand.

  That changes today. Qlik's MCP server has just added three new lookup tools built specifically for declarative data pipeline development, closing that gap by bringing real tenant context directly into your coding session.

   

  New MCP Tools for Agentic Data Engineering

  The three new MCP tools are as follows:

  • qlik_search: Searches for Qlik catalog resources such as applications, datasets, data products, glossaries, etc. by name or content. This tool has been extended to also return pipeline projects and pipeline connections.
  • qlik_get_pipeline_project_details: Returns the project’s binding values. Used to discover all of the details about a specific pipeline project 
  • qlik_search_connection_objects: List all source entities (tables, views) available in a data connection. Used to discover what data sources are available when configuring data pipeline tasks.

  In practice, that means you can ask the tenant a question via your coding agent and get a straight answer: does this space exist, what's this connection actually called, what tables sit behind it. No more generating a pipeline against a guess and finding out it's wrong on import.

  So now you can ask questions while you are developing like:

  "Show me all available tables in our Sales database connection so I can decide which tables to include in the data pipeline."

  And you'll receive context-aware answers as below: 

  

   

  Why it Matters

  The benefit is simple: less time spent switching context and more time spent writing pipelines that work the first time. A data engineer working on a pipeline project can ask about spaces, connections, and table structures in natural language right in the editor and keep coding. That's a real efficiency gain for iterative development. It also directly addresses the top piece of feedback we heard during the original testing phase for declarative pipelines: many data engineers wanted a mechanism to introspect a live Qlik environment for information beyond their current pipeline project. So these tools fill that gap. They search, they describe, and they resolve. Delivering precise answers on the current Qlik environment, highlighting what is and isn't with data pipelines. 

   

   

  Available Now

  The new tools for pipelines are live as of August 25th and work with any third-party coding agent connected to Qlik's MCP server, including Claude Code, GitHub CoPilot and Open AI's Codex. Note that if you're already building declarative pipelines and MCP is connected, then there's nothing new to set up. The tenant pipeline context is just there the next time you ask a question.

  However, if you haven't tried declarative pipelines with a coding agent yet, then now's a good time to start. All the instructions for configuring your IDE, adding pipeline schemas, configuring Git Hub, and setting up MCP for coding agents can be found on the Qlik Developer portal here. 

  Furthermore, if you've not yet signed up for a Qlik Talend Cloud trial tenant, then you can register for free here too!

  Finally, the only thing left for me to say is "Happy coding pipelines with enhanced MCP tools!". We know you're going to love it.

    

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  By CliveBearman 2026-08-28 / 11:36 AM

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  Support Updates

  Watch! Q&A with Qlik: App Development

  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. Let ou... Show More

  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.

  Let our Qlik experts offer creative solutions to your analytics demands and answer your visualization questions.

  WATCH HERE

   

   

  

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  By Troy_Raney 2026-08-28 / 08:52 AM

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  Product Innovation

  Qlik Talend® Unlocked: See How Leading Teams Modernize Talend

  You already know Talend can do more than most teams ask of it. The real question, the one every data engineering group is working through right now, i... Show More

  You already know Talend can do more than most teams ask of it. The real question, the one every data engineering group is working through right now, is how to get there. How do you promote jobs through fully automated pipelines? How do you build test automation that holds up against real, changing data? How do you move workloads forward faster and with greater reliability? 

  

   

  Qlik Talend Unlocked is where we answer those questions together, alongside the teams already doing the work. 

  Over the past year, Qlik has invested heavily in the capabilities that make Talend a modern data engineering platform: CI/CD driven release workflows, native testing support in Talend Studio, and tooling that moves workloads forward without a rewrite. The capabilities are here today. What separates the teams getting real value from them is knowing how to architect around them. 

  That is what this series is built to do: help organizations modernize and optimize their enterprise data integration environments on Talend, and improve agility, scalability, and operational efficiency in the process. Every month we bring in practitioners who have put these capabilities into production, and we walk through exactly how they did it, the approaches that worked, the trade-offs they made, and the results they can measure. New episodes land monthly, covering the full modern Talend lifecycle, with practical guidance you can take straight back to your own environment. 

   

  

   

  Every episode follows the same simple format. We lead with a problem you already recognize, show real approaches that teams are running in production, and leave genuine time for your questions. No fluff, let's roll up our sleeves and tackle the subject head on! Think of it as a smart colleague showing you something useful over coffee. 

   

  

   

  The series is already underway. Episode one is available on demand right now, episode two is open for registration, and new episodes land every month. Here is what is live, and what is next. 

   

  

   

  Presented by Qlik Enterprise Architect Jan Bernhardt, this session is a working blueprint for managing the Talend software development lifecycle with real CI/CD discipline: a Git centric source of truth for metadata and job designs, the Talend Maven plugin for standardized builds and dependency management, and the Talend Management Console APIs as the control plane for promotions across environments. 

   

  

   

  Jan walks through a zero install build strategy that provisions the Talend CommandLine dynamically during the pipeline, so you stop maintaining permanent installations on build agents. He shows intelligent delta build execution that runs a git diff to find changed items, maps them to their Maven modules, resolves the dependency tree to identify master Jobs, and compiles only what actually changed.

  On quality and security, the session covers automated code scanning before merge, OWASP vulnerability scanning at the package phase, and JUnit plus end to end integration tests running on dedicated UAT environments. And it lays out the full release pipeline, from scan and build through CVE check and staged promotion to UAT and production, with approval gates and an immutable Git audit trail at every step. 

   

  

   

  We are honest about the hard parts too, from corporate proxies that block Maven plugins to monolithic builds and pipeline drift, and it closes with a live GitHub Actions reference solution you can model your own pipeline on. The measured payoff: deployment cycles that once took days now run in minutes, plus the ability to mass rebuild your entire job portfolio to roll out security patches on demand. 

  Watch Episode 1 on demand  

   

  

   

  Test automation is where most data teams have the most room to grow, regardless of platform, and it is one of the highest leverage practices you can adopt. This session shows you how to build reliable, black box tests for Talend Jobs directly in Studio. We cover a standardized test lifecycle, job designs built to be testable from the start, a clear line between what belongs in CI versus CD, and the practical Studio techniques that keep tests stable as your data and jobs evolve. Live demos run throughout, so you see the approach applied rather than described. 

  The result is testing that goes from hours of manual validation per release to minutes of structured, repeatable execution you can trust. 

  Register for Episode 2 

   

  

   

  Talend Unlocked runs monthly, and the full arc is already mapped across six topics that span the modern Talend lifecycle: 

  

   

  Register once for the series and you are set for every session as it lands, with the newest topics reaching your inbox first. If there is a problem your team is working through, it is exactly the kind of thing a future episode is built to tackle. 

   

  

   

  Talend teams everywhere are hitting the same inflection point at the same time. CI/CD is becoming the default, test automation is moving from nice to have to expected, and migration timelines are tightening. The capabilities to meet all of it are in the platform today. What has been missing is a shared, practical view of how the best teams are putting them to work. 

   

  

   

  That is exactly what Qlik Talend Unlocked provides, and it reflects a simple commitment: Qlik is invested in Talend's future, and we want every customer to get the full value of what the platform can now do. 

   

  

   

  Everything is free for Talend Cloud and on premises customers. Start with Episode 1 on demand today, then register for the upcoming sessions so you are set for each one as it goes live. Each session runs about 45 minutes with live Q&A. 

  Explore the full series and register 

  Every date, time, and detail lives on the series landing page. If you want to register your team as a group or have questions about the content, your Customer Success Manager can help. 

   

  Show Less

  By SimonSwan 2026-08-25 / 10:44 AM

  1 1 271
• 
  

  Product Innovation

  The Final Whistle: Who Takes the Trophy - Model or Mastery?

  The World Cup is over, Spain are champions, and the third and final episode of our Model vs. Mastery podcast series has wrapped up with a verdict on t... Show More

  The World Cup is over, Spain are champions, and the third and final episode of our Model vs. Mastery podcast series has wrapped up with a verdict on the question we've been asking all along: when it comes to predicting football's biggest tournament, does the edge belong to the model or the human expert? 

  Host Adam sat down with Steve Palmer and Nick Magnuson to close out the series, and the results were more decisive than anyone on the losing end expected. 

  The Numbers Don't Lie 

  More than 400 brackets were submitted through the Choose Your Champion app over the course of the tournament, powered by Qlik Cloud Analytics. When the dust settled, the model itself finished third out of the entire field — beating the vast majority of human predictors, including some seasoned football minds. 

  Nick Magnuson from Qlik, who used the model to validate and stress-test his own instincts rather than override them, ended up at the top of the leaderboard. His approach was the perfect example of how to combine Model + Mastery to achieve success. He used his conviction in football based on years of playing and watching games, then he used the predict feature inside Qlik Cloud Analytics to pressure-test that conviction. In several cases, the model disagreed with him. Sometimes that sent him deeper into the data and reinforced his pick. Other times, it changed his mind entirely. 

  Steve's story went the other way. Sitting in seventh place heading into the semifinals, he made a deliberate choice to abandon the model and back his own instincts for the final stretch, gambling on a bigger climb up the table. It didn't pay off — the model got the last four matches right, and Steve's gut calls didn't. Even the Spain-over-Argentina final, which ran counter to the emotional favorite and the sentiment around Messi, was a call the model made confidently and correctly.  

  The lesson, as Nick put it, is exactly why the series exists: AI and human intelligence are natural complements, not substitutes for one another. The model on its own finished in 3rd place, Steve’s predictions finished in 7th place, and Nick, combining his expertise with the model, finished first.  

  Why Building a Predictive AI Model Isn't as Intimidating as It Sounds 

  A common misconception is that predictive modeling demands a rare combination of skills — data engineering, domain expertise, coding, and statistical know-how. That barrier is falling fast. 

  During the course of the World Cup, Qlik released the Predict Agent as part of the agentic experience inside Qlik Cloud Analytics. It allows users to ask in natural language what they want to predict, and the agent handles the rest: finding relevant datasets, building the model, and configuring it to run on live data. Because the underlying data already lives in Qlik, it tends to be clean and well governed from the start — the single biggest head start any machine learning project can have. 

  Crucially, ease of use doesn't come at the expense of oversight. The Predict Agent operates within Qlik’s full governance framework, including access control and approval workflows, so models can still get validated by data science and AI governance teams before they ever reach production. Nick also teased what's next: the agent will soon be able to construct entirely new datasets on the fly when the right data doesn't already exist, then produce ready-to-use applications, automations, and "what-if" scenarios for decision-makers to explore even further before committing resources. 

  Trust Is the Real Foundation 

  Steve raised a question that applies far beyond football: how do non-technical users — coaches, analysts, business leaders — start trusting these tools enough to actually use them? Nick's answer centered on governance and data lineage. When an agent acts on your behalf, you need to know what data it touched, where that data came from, and who has had access to it. Without that visibility, confidence in the output collapses no matter how good the model looks. 

  That's where features like Qlik's Trust Score come in, giving teams an objective way to measure the completeness, recency, and quality of the data feeding their models. Nick's practical advice for getting started: don't try to make all of your data AI-ready at once. Pick a specific business outcome with real sponsorship behind it, get the data for that use case in shape, and build outward from that success rather than trying to boil the ocean. 

  What's the Takeaway? 

  Neither the model nor human intuition wins this on its own. The model outperformed nearly every human predictor in the bracket, but the humans who did well — like Nick — used it as a check on their thinking rather than a replacement for it. The humans who leaned away from it, like Steve, learned that lesson the hard way. 

  As the series wraps, our three experts landed on the same closing advice: be curious, be willing to experiment, and don't let unfamiliarity with the technology keep you on the sidelines. Whether it's predicting a World Cup final or a business outcome with real stakes, the future belongs to people who know how to work alongside the model — not against it. 

  Watch the edipode 3 - Final Wistle: Who takes the trophy – Man or Mastery?  
  Take a tour on the new Qlik Predict Agent  

  Show Less

  By QlikProductUpdates 2026-07-28 / 02:52 PM

  1 2 392
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  Design

  “Where is Qlik headed with AI?”

  So when people ask, “Where is Qlik headed with AI?” I think there’s a better question:Where are YOU headed with AI?• Are you still focused on dashboa... Show More

  

  So when people ask, “Where is Qlik headed with AI?” I think there’s a better question:
  
  Where are YOU headed with AI?
  
  • Are you still focused on dashboards and reporting?
  • Exploring GenAI?
  • Or already working with agents, MCP, conversational analytics, and AI-assisted data engineering?
  
  Frankly, if you don’t comment, I’m going to assume one of two things: you don’t know where you’re headed yet… or you have no clue what I’m talking about.
  
  I’ve been in analytics and data for 28 years. 15 of them at Qlik. I’ve seen enough technology shifts to know what Qlik can and cannot do.
  
  Qlik has the pieces to meet you where you are and help you move forward.
  
  So tell me: Where are you with AI today, and where do you want to be in the next 2–3 years? 

  Show Less

  By Michael_Tarallo 2026-08-20 / 11:42 AM

  8 6 798
• 
  

  Design

  Qlik Answers – Fast Mode & Chat Download

  In this blog post, we'll cover two new features of Qlik Answers that you may not be aware of. Fast mode Download conversation as PDF Fast Mode Qlik ... Show More

  In this blog post, we'll cover two new features of Qlik Answers that you may not be aware of.

  1. Fast mode
  2. Download conversation as PDF

  Fast Mode

  Qlik Answers Fast mode delivers quick, concise responses to simple questions using your structured data. It is ideal for questions that can be answered directly, without deep analysis. For complex questions that require more analysis, use Thinking mode. And don’t worry, if you ask a question in Fast mode that requires more analysis, Qlik Answers will recommend that you switch to Thinking mode. Fast mode and Thinking mode can be used interchangeably in a single conversation.

  

  You can learn more about Fast mode here:

  • Demo Tour
  • Video

   

  Download Conversations as PDF

  Now, you can download your Qlik conversations for future reference or to share with others. There are two ways you can do this. You can download a chat once Answers has responded to your question. The download button will appear as shown below. When you click it, a PDF of the Qlik Answers chat will be downloaded. The download feature is available for chats created after this feature’s release.

  

  Qlik Answers chats can also be downloaded from the Feedback tab in an assistant, but this requires the audit admin role. To view chats, open an assistant and go to the Feedback tab. Click on the three ellipses at the end of a row and select View answer details. From here, you can review and download the chat.

  

  Fast mode and chat downloads are both live in Qlik Answers today, and they're built to make your workflow quicker and your insights easier to share. Ask a question in Fast mode next time you need a quick answer and download a chat any time you want to keep a record or bring a colleague up to speed.

  Thanks,

  Jennell

   

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  By Jennell_Yorkman 2026-08-21 / 01:59 PM

  0 3 274
• 
  

  Qlik Academic Program

  What Students Really Gain From Working With Real Data

  Students Learn to Work With Ambiguity One of the biggest differences between classroom exercises and professional analytics is certainty. In an assign... Show More

  Students Learn to Work With Ambiguity

  One of the biggest differences between classroom exercises and professional analytics is certainty.

  In an assignment, students often know what they're supposed to find. At work, they may not.

  A manager might ask, “Why are sales declining?” That's not an analytics question with one obvious answer. Students need to determine which data matters, explore possible explanations, identify patterns, and decide what additional information they need.

   

  Working with real data gives students an opportunity to practice navigating that uncertainty.

  They learn that analytics isn't simply about finding the answer. It's about using evidence to develop a better understanding of a problem.

   

  Unexpected Findings Become Learning Opportunities

  What happens when the data doesn't tell the story students expected? That's where some of the best learning can happen.

   

  A surprising result can encourage students to go back to the data, question their assumptions, investigate further, and consider alternative explanations.

  Instead of teaching students to simply look for the “right” answer, educators can help them develop something even more valuable: the confidence to investigate when the answer isn't obvious.

   

  Students Develop Skills Employers Actually Use

  Technical analytics skills matter, but employers also need people who can think critically about data.

  Working with real datasets can help students develop skills such as:

   

  Critical thinking — evaluating information rather than automatically accepting it.

  Problem-solving — figuring out what to do when the path forward isn't obvious.

  Data literacy — understanding where data comes from, what it represents, and what its limitations are.

  Communication — turning analysis into a story that other people can understand.

  Curiosity — asking the next question instead of stopping at the first answer.

  Adaptability — adjusting their approach when the data or business problem changes.

   

  These are transferable skills students can take with them regardless of the industry they enter.

   

  From Classroom Assignments to Real-World Confidence

  Perhaps the biggest benefit of working with real data is confidence.

  Students begin to realize that they don't need to have every answer before they start exploring a dataset.

  They can investigate.

  They can make mistakes.

  They can ask better questions.

  They can change direction.

  And they can use data to support a decision.

  That experience can make the transition from classroom to workplace feel much less intimidating.

   

  Giving Students the Opportunity to Work Like Analysts

  The goal of analytics education isn't simply to teach students how to use a particular technology.

  It's to help them think with data.

  When students have opportunities to work with realistic datasets and open-ended problems, they aren't just completing another assignment. They're practicing what it means to approach a problem like an analyst.

   

  For educators, that can mean moving beyond “Here is the dataset. Find the answer.”

  Instead, ask:

  “What questions can you answer with this data?”

  That small shift can create a very different learning experience.

  And it can help students graduate with something far more valuable than knowledge of a tool: the confidence and curiosity to use data to solve problems they haven't encountered before.

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  By BrittanyFournier 2026-08-21 / 11:31 AM

  0 4 100
• 
  

  Qlik Digest

  Qlik Digest - Analytics Edition - August 2026

    Take Qlik Further Welcome to the August Qlik Digest. This issue is all about doing more with what you've already got. Read on for this month's best... Show More

   

  
  

  Take Qlik Further

  Welcome to the August Qlik Digest. This issue is all about doing more with what you've already got. Read on for this month's best insights and resources.

  In this issue

  Customer Spotlight - SCAS keeps ambulances rolling with real-time monitoring + predictive action.

  Now Live - Agentic AI touched down inside the Qlik Cloud apps you already use.

  Insider Tips - Qlik Cloud migration, minus the migraine.

  Tune In - Set yourself on the perfect course to modern data and analytics knowledge.

  Customer Spotlight

  How predictive maintenance keeps critical assets running: lessons from SCAS

  

  90 Sensors

  Per Vehicle

  92M Data Points

  A Month

  South Central Ambulance Service uses Qlik Predict with Ordnance Survey geospatial data to catch wear before it causes a breakdown, a pattern that works for any fleet, or machine your business runs on.

  See How SCAS Keeps Its Fleet on the Road →

  Now Live

  Agentic AI, Already in Your Apps

  Ask questions in plain language and trigger automated next steps, without leaving Qlik. Mike Tarallo shows you how in three minutes.

  Watch the Video →

  Insider Tips

  Your Migration, Easier than Ever

  The Qlik Analytics Migration Tool moves your apps, users, and data into Qlik Cloud® automatically. It handles Qlik Sense apps and NPrinting reports, and now converts QlikView apps to Qlik Sense too, so nothing gets left behind.

  Discover How Easy Migration Gets →

  ---

  Learn It Before You Lean On It

  Free, self-paced training walks through the full migration workflow, so you know what to expect before you start.

  Start the Course →

  Tune In

  

  Data & Analytics Learning Voyage

  Set yourself on the perfect course to modern data and analytics knowledge. On-demand Qlik Connect presentations, ready whenever you are.

  Watch Now

  

  Agentic AI and the Evolution of the Data Engineer

  Today's data has to be governed, current, and ready for agents to act on. Join for a real-world conversation on agentic data engineering.

  Register Now

  Show Less

  By Maddie 2026-08-20 / 04:00 AM

  0 0 416
• 
  

  Qlik Digest

  Qlik Digest - Data Edition - August 2026

    Take Qlik Further Welcome to the August Qlik Digest. This issue is all about doing more with what you've already got. Read on for this month's best... Show More

   

  
  

  Take Qlik Further

  Welcome to the August Qlik Digest. This issue is all about doing more with what you've already got. Read on for this month's best insights and resources.

  In this issue

  Customer Spotlight - See how Schneider Electric halved extraction costs.

  Think Ahead - 5 strategies to make agentic AI your new superpower.

  Insider Tips - See your full environment first: Qlik Talend Cloud® migration made easy.

  Tune In - Agentic AI and the Evolution of the Data Engineer.

  Customer Spotlight

  How Schneider Electric stopped waiting weeks for data, and what it means for your pipelines

  

  Costs Halved

  Extraction

  Near-Real Time

  Data Delivery

  Weeks to 1 Sprint

  Turnaround

  Qlik Replicate pulls straight from transaction logs, so teams in 100+ countries get trusted data in near-real time, and extraction costs dropped by half.

  Get the Schneider Electric Story →

  Think Ahead

  Ready to Move from AI Experiments to Real Outcomes?

  

  A practical guide to five strategies for turning agentic AI into real outcomes.

  Get the eBook →

  Insider Tips

  Qlik Talend® Cloud Migration? Easy Mode: On

  Migrating to Qlik Talend Cloud® is now easier than ever. Full visibility before you move a thing, and automated phased migration. All you bring is the decision. Then it's less time managing servers, upgrades, and infrastructure, and more time focused on actual work.

  Get the Migration Toolkit →

  ---

  Enable Yourself to a Faster Migration

  Free, self-paced lessons walk through the full migration workflow, so you know what to expect before you start.

  Start the Course →

  Tune In

  

  Reliable Data Pipelines, Built to Last

  Learn how to automate black-box testing in Talend Studio, so releases move faster with fewer surprises.

  Register Now

  

  Agentic AI and the Evolution of the Data Engineer

  Today's data has to be governed, current, and ready for agents to act on. Join for a real-world conversation on agentic data engineering.

  Register Now

  Show Less

  By Maddie 2026-08-20 / 04:00 AM

  0 0 220
• 
  

  Support Updates

  Security Statement: npm Supply Chain Compromise, Qlik Package Impact

  Initial Publication: August 4, 2026Edit August 5, 19:10 UTC: Impact section updated.Edit August 6, 06:11 UTC: Formatting changes only.Edit August 6, 0... Show More

  Initial Publication: August 4, 2026
  Edit August 5, 19:10 UTC: Impact section updated.
  Edit August 6, 06:11 UTC: Formatting changes only.
  Edit August 6, 06:35 UTC: Investigation concluded, removed banner.
  

  Certain open source packages released by Qlik® have been impacted by an ongoing, industry-wide npm supply chain compromise ("Shai-Hulud") affecting keyv, cacheable, and related packages. As of this writing, the campaign has affected many organizations beyond Qlik, including over 440 unique packages and 2,200+ package versions across the npm ecosystem. A Qlik npm publishing credential was harvested from an internal build system after it installed a package with a poisoned transitive dependency, and was used to publish unauthorized, malicious versions of several Qlik-owned open source packages to the public npm registry. This appears to be a consequence of the broader worm's automated spread across the npm ecosystem, rather than a targeted attack on Qlik. The investigation into full scope and impact remains active, and Qlik has taken active steps to mitigate the impact. 

  Impact

  • We have confirmed that no Qlik products, including Qlik Cloud, Talend Cloud, and our client-managed offerings, were impacted.
    
    
  • No compromised code was released into any Qlik product.
  • 31 packages in the @qlik npm scope had malicious versions published to the registry, all published and detected within the same 10:46 to 10:53 UTC window on August 4, 2026: 
    
    

    Package	Version
    @qlik/api	2.14.2
    @qlik/browserslist-config	3.0.2
    @qlik/carbon-core	2.1.1
    @qlik/carboncopy	1.1.6
    @qlik/design-tokens	1.3.13
    @qlik/dts-bundler	2.0.3
    @qlik/embed-react	2.5.3
    @qlik/embed-runtime	1.6.4
    @qlik/embed-svelte	1.1.4
    @qlik/embed-web-components	1.7.3
    @qlik/eslint-config	2.0.20
    @qlik/eslint-config-base	0.1.1
    @qlik/eslint-config-react	0.1.1
    @qlik/eslint-config-svelte	0.1.1
    @qlik/eslint-config-vue	0.1.1
    @qlik/nebula-table-utils	2.6.9
    @qlik/oxfmt-config	0.1.6
    @qlik/oxlint-config	0.7.2
    @qlik/prettier-config	1.0.3
    @qlik/react-native-simple-grid	1.5.5
    @qlik/runtime-module-loader	1.5.1
    @qlik/sdk	0.28.1
    @qlik/sprout-design-docs	1.0.2
    @qlik/sprout-gesture	0.0.13
    @qlik/sprout-icons	0.12.3
    @qlik/sprout-react	6.45.3
    @qlik/sprout-react-table	0.16.7
    @qlik/tsconfig	1.0.3
    qlik-chart-modules	1.1.1
    qlik-modifiers	0.10.1
    qlik-object-conversion	0.17.2

   

  What Qlik has done

  • Revoked the compromised npm publishing credential and disabled automated publishing pipelines (GitHub Actions), including across the qlik-oss organization 
  • Confirmed that npm removed the malicious versions from the public registry; purging internal mirrors/caches 
  • Added precautionary blocks on our cloud firewalls 
  • Rotating exposed secrets and keys, in a controlled sequence, after confirming affected hosts are clean 
  • Completed indicator-of-compromise sweeps across related GitHub organizations; no indicators of persistence found 
  • Continuing a full investigation across our repositories and build infrastructure 

  What you should do

  If you installed any of the affected package versions listed above: 

  • Treat any npm, GitHub, or cloud credentials present in that environment as potentially compromised 
  • Scan for compromise before rotating credentials; do not rotate first 
  • Reinstall using npm install --ignore-scripts once a clean version is confirmed available 

  More information

  For independent tracking of the scale of this campaign across the npm ecosystem, see Socket's write-up: keyv and cacheable compromise.

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  By ToniKautto 2026-08-04 / 06:17 PM

  11 6 5135
• 
  

  Qlik Learning

  Harness the power of AI with this brand-new certification!

  Not sure where to begin or what you need to know to take the exam? We’ve got you covered! We created this How do I take a Qlik Certification exam? vid... Show More

  Not sure where to begin or what you need to know to take the exam? We’ve got you covered! We created this How do I take a Qlik Certification exam? video that explains the exam process as well as the Qlik AI Specialist Certification Exam Details path to help you on your way to becoming certified.

   

  Certification exam details 
  Duration: 120 minutes 
  Number of questions: 50 
  Passing score: 73% 

  This fifty question certification exam covers topics such as:

  • Introduction to Artificial Intelligence
  • Business applications for Artificial Intelligence
  • Fundamentals of Qlik Answers
  • Fundamentals of Qlik Machine Learning
  • Fundamentals of Insight Advisor

   

  Preparation

  To prepare for this exam, you can take the Qlik AI Certification Exam Preparation course.

   

  Badge 

  After passing this certification exam, you are awarded the Qlik AI Specialist Certification badge. To learn more about the criteria for earning this badge, visit our Credly badging page.

   

  Ready to take the exam? Log into Qlik Learning and get started today!
  
  

  Show Less

  By Kristina_Parks 2025-06-19 / 01:23 PM

  2 4 1211
• 
  

  Product Innovation

  SAP Say "You Better Stop" using ODP-RFC - Here's What Qlik Customers Need to Do

  In 1979, The Clash covered a track called "Wrong 'Em Boyo" — a London Calling deep cut built around a simple warning: "You better stop." They were sin... Show More

  In 1979, The Clash covered a track called "Wrong 'Em Boyo" — a London Calling deep cut built around a simple warning: "You better stop." They were singing about the perils of gambling, not SAP data pipelines. But if you're still running ODP-RFC without a migration plan, those three words should be ringing true right now.

  What Changed, and When

  For years, the ODP-RFC interface has been a widely used method for extracting data from SAP systems into analytics platforms, data warehouses, and lakehouses. It worked well. Many organizations built their entire data pipeline architecture around it - and that includes a significant number of Qlik customers globally.

  In February 2024, SAP updated SAP Note 3255746, making it explicit that ODP-RFC is intended exclusively for data transfer between SAP applications. Use by third-party tools to extract data from systems running on-premise or in private-cloud setups with components like SAP BW, SAP BW/4HANA, or PI_BASIS was classified as unpermitted. We believe customers continued to use ODP-RFC because it was effective in their SAP data replication processes and it was functionality that SAP was already using internally for SAP-to-SAP data transfers.

  SAP is offering a temporary revert option that allows customers to roll back to unrestricted ODP-RFC access - but that window closes in December 2026, and SAP is explicit that doing so is at the customer's own risk. The deadline is real. The clock is running.

   

  Which Qlik Products Are Affected

  Not everything is impacted equally. The two products most directly affected by the June patch are:

  • Qlik Replicate - SAP ODP Endpoint
  • Qlik Talend Cloud - SAP ODP Connector

  If you have tasks running on either of these using the ODP-RFC interface, those pipelines will fail after applying the patch, unless you migrate to an alternative connection path first.

  SAP has published a self-assessment utility (SAP Note 3439624) that will flag any ODP-RFC calls from Qlik connectors as "unpermitted." It's worth running it now to understand your exposure within your environment before doing anything else.

  Other Qlik products that include ODP functionality - including Qlik Analytics (Qlik Sense / QlikView) and Talend Studio - are also in scope, though the immediate operational impact varies by use case. For Talend Studio customers specifically, a separate Qlik Community article covers what you need to know.

  Qlik Gold Client does not use the ODP-RFC interface and is unaffected.

   

  What You Can Do Today

  Qlik supports several alternative connection paths that don't rely on ODP-RFC, the right one for your organisation depends on your SAP landscape, performance requirements, and timeline.

  ODP-OData is fully supported by both Qlik Replicate and Qlik Talend Cloud today. It works, and migrating to it is the most straightforward near-term path for many customers. One trade-off worth knowing: OData is HTTP-based, which can mean lower throughput compared to ODP-RFC in high-volume scenarios. For many use cases that's acceptable. For others, it's a consideration worth modelling before you commit.

  Beyond OData, Qlik supports a range of other SAP-native connection methods - SAP Extractors, database-level CDC, and more - depending on your system configuration. There is no single right answer, which is why we'd strongly encourage any affected customer to reach out to your Qlik representative before applying the June patch, so we can map the right migration path together.

  For the full technical detail on your options, the Qlik Community Support Update is the definitive reference.

   

  Something New on the Horizon

  Qlik is constantly adapting to change for the benefit of our customers. The product team is heads-down actively developing a new SAP connector - an alternative to both ODP and OData - targeting general availability in late Q3 2026.

  This new endpoint is designed to be fully compliant with SAP's runtime license requirements while offering CDC capability for SAP HANA environments. It will be made available in both Qlik Replicate and Qlik Talend Cloud, and for customers on S/4HANA, it's shaping up to be a meaningful addition to the toolkit.

  We'd rather show you something finished than promise you a roadmap. But for those of you navigating the ODP transition and wondering what comes next: something is coming.

  We will be making this new endpoint available through a Private Preview in early September. If you would like to be considered for early access, please complete the following form:

  Private Preview Registration (SAP HANA RFC Endpoint)

   

  What to Do Next

  If you're using ODP-RFC today, start here:

  1. Run SAP's self-assessment utility (SAP Note 3439624) to understand your current exposure
  2. Audit your Qlik tasks - identify which rely on the SAP ODP endpoint across your Qlik products
  3. Do not apply the June patch without a plan - Talk to your Qlik representative first, there's no upside in cutting your pipelines off without a plan in place
  4. Watch this space - more is coming on Qlik's new SAP connector before the end of Q3

  While you have to stop using ODP-RFC. You don’t have to stop using Qlik with SAP, and you don't have to navigate this one alone.

   

  For the full technical detail, visit the Qlik Community Support Update on SAP ODP-RFC Changes, the Talend Studio-specific guidance, and Qlik's SAP integration documentation on help.qlik.com.

   

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  By Adam_Mayer 2026-08-12 / 10:06 AM

  1 3 934