Recent Blog Posts

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  Support Updates

  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 More

  Hi everyone,
  Want to stay a step ahead of important Qlik support issues? Then sign up for our monthly webinar series where you can get first-hand insights from Qlik experts.

  Next Thursday, November 5th Qlik will host another Techspert Talks session and this time we are looking 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

   

  Choose the webinar time that's best for you.

   

  The webinar is hosted using ON24 in English and will last 30 minutes plus time for Q&A.
  Hope to see you there!!

   

  

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  By Troy_Raney 2026-10-28 / 10:44 AM

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  Support Updates

  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 More

  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 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

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  By Sonja_Bauernfeind 2026-10-28 / 09:16 AM

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  Product Innovation

  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 More

  One 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. 

  Qlik Answers and AI agents connected through Qlik MCP Server can also work with semantic models, using your shared business definitions to deliver answers that reflect how your teams understand the numbers. You can use them to create and update semantic models and data products, making it easier to keep definitions current as your data and business needs evolve.

  Semantic Models in Data Products generally available today, October 28, 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/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/2555436  

   

  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. 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.
  VS Code extension coming soon in Q4, 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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  By QlikProductUpdates 2026-10-28 / 08:04 AM

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  Support Updates

  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 More

  Qlik 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

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  By Sonja_Bauernfeind 2026-03-03 / 08:00 AM

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  Design

  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 More

  Summary

  • 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, SubAccountName and ChargePeriodStart columns, 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 query	1.4	Qlik-PE/databricks-examples
  Snowflake FOCUS Cost & Usage	The SNOWFLAKE.BILLING.FOCUS_COST_USAGE_V1_3 view, across every account in the organization	1.3	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 (or BillingAccountName), ServiceName and ChargeDescription

  Getting started

  1. Pick your platform and download the .qvf from its repository: Databricks, Snowflake or AWS.
  2. Prepare the source with a dedicated, read-only identity: - Databricks: a service principal with SELECT on the billing, access, compute and lakeflow system tables, plus a SQL warehouse. - Snowflake: a role granted SNOWFLAKE.ORGANIZATION_BILLING_VIEWER on 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.
  3. Upload the app to a shared space in Qlik Cloud and create the matching connection (Databricks, Snowflake or Amazon S3 V2).
  4. Update one line in the load script to point at your connection, then reload.
  5. Validate a closed month against your platform's billing console, then schedule a daily reload.
  6. 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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  By Clever_Anjos 2026-10-27 / 10:35 AM

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  Design

  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 More

  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 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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  By Ouadie 2026-10-26 / 08:33 AM

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  Support Updates

  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 More

  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).

  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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  By Jamie_Gregory 2026-10-21 / 10:40 PM

  9 14 9672
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  Community News

  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 More

  Big 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

  Show Less

  By calebjlee 2026-10-23 / 10:52 AM

  5 4 269
• 
  

  Product Innovation

  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 More

   

  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 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 Cloud

  You 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 data

  Work with data your organization has already prepared and validated.

  Governed access

  Your existing Qlik permissions and security controls continue to govern access to Qlik data and analytics.

  Business context

  Qlik'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.

  Show Less

  By Lu_Ellis 2026-10-22 / 12:27 PM

  0 1 411
• 
  

  Support Updates

  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 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.

   

   

  WATCH HERE

   

   

  

  Show Less

  By Troy_Raney 2026-10-22 / 03:29 AM

  1 1 754
• 
  

  Product Innovation

  Dynamic Engine 1.7: one fewer prerequisite between your cluster and your first J...

  What is the Dynamic Engine?   Dynamic Engine is the Kubernetes-native runtime for Qlik Talend Cloud. It runs your Talend Jobs inside your own infrastr... Show More

  What is the Dynamic Engine?

   

  Dynamic Engine is the Kubernetes-native runtime for Qlik Talend Cloud. It runs your Talend Jobs inside your own infrastructure, in the cluster your platform team already operates, while you design, schedule and monitor them from Talend Management Console. Each task execution runs in its own pod, so capacity follows demand and your data processing stays in the environment you control. You deploy it with Helm, which makes it feel like any other workload on your cluster.

  Dynamic Engine takes the idea behind Remote Engine, running Jobs in your own environment while you manage them from the cloud, and rebuilds it for Kubernetes. Through 2025 it grew steadily simpler to run. Helm made setup a familiar, repeatable step for platform teams, and version 1.0 brought it out of beta in October with stronger performance and security. Version 1.7 continues that direction by making persistence optional, so there is even less to prepare before your first Job runs.

   

  What changes in 1.7?

   

  Until now, installing Dynamic Engine meant provisioning persistent shared storage, such as Amazon EFS or Azure Files, before anything else. In 1.7.0, persistence is disabled by default (configuration.persistence.enabled=false). A default deployment no longer creates any PVC or PV.

  

  What this means for you:

  • A simpler start. One infrastructure step fewer between a ready cluster and your first Job run.
  • Fewer moving parts. No storage class, access mode or provisioner to align with your platform team on day one. With no volume to mount, we also expect Job pods to start faster, and we will share measurements as we collect them.
  • Still your choice. If you need to retain Job data, persistent storage remains configurable.

   

  Plan these two points before you upgrade

   

  • Helm-only deployment. Deployments created with plain Kubernetes manifests cannot be upgraded in place and need a redeployment through Helm.
  • Embedded registry. It no longer keeps images when its pod restarts, so use an external registry in production.

  Upgrading from 1.6.x with persistence enabled? Follow the “Upgrading to v1.7.0 when persistence is enabled” procedure in the documentation first. If you already disabled persistence, the generic upgrade procedure applies.

   

  Building on 1.6

   

  

  1.7 sits on top of a release that already changed how Dynamic Engine runs on Kubernetes:

  • Lighter images. Distroless images for Dynamic Engine services and minimal images for task executions, both opt-in via global.profile=minimal. If your Job execution environment needs extra dependencies, images stay configurable. Spark Batch and Spark Streaming Jobs still require the standard images.
  • Managed Kubernetes modes. Support for Amazon EKS Auto Mode and Google GKE Autopilot.
  • Platform hardening. Kubernetes Network Policies and Pod Disruption Budgets.
  • Java. Task images default to OpenJDK 17, and artifacts built with Java 21 run on Java 21.
  • OpenShift. Support for OpenShift (OKD) has been generally available since 1.6.4.

   

  Get started

   

  📄Dynamic Engine 1.7 release notes: https://help.qlik.com/talend/en-US/release-notes/8.0/r2026-10-dynamic-engine
  📄Dynamic Engine 1.6 release notes: https://help.qlik.com/talend/en-US/release-notes/8.0/r2026-06-dynamic-engine

  Running Dynamic Engine on Kubernetes? Try 1.7 and tell us in the comments how the new default setup works for you. Your feedback goes straight into our roadmap.

  Show Less

  By jeremyleboi 2026-10-21 / 11:58 AM

  0 1 141
• 
  

  Qlik Digest

  Qlik Digest - Data Edition - October 2026

    Build for What’s Next Welcome to the October Qlik Digest. This month, explore the latest insights, a customer success story, and practical resource... Show More

   

  
  

  Build for What’s Next

  Welcome to the October Qlik Digest. This month, explore the latest insights, a customer success story, and practical resources to help you build for what’s next.

  In this issue

  Think Ahead - The three conditions that move agentic AI out of pilot.

  Customer Spotlight - How Empresas SB got live data across 500 stores and cut costs 33%.

  Expert Eye - The AI Risks No Enterprise Leader Can Afford to Ignore.

  Tune In - Faster migrations, safer deployments, automated testing: Qlik Talend® Unlocked Series.

  Think Ahead

  Agentic AI Works When Your Data Does

  

  One in three organizations still doubt the accuracy of their AI results, and the fix starts upstream. IDC’s three conditions for getting AI into production begin with trusted data, which your pipelines deliver.

  Read the IDC Spotlight

  Customer Spotlight

  500 Stores, Live Data, 33% Lower Costs: How Empresas SB Did It

  

  95% Less

  Latency

  300% More

  Data Handled

  33% Lower

  Costs

  Empresas SB replicates data from Oracle, AWS, and legacy systems in real time without touching the sources. Any business with multiple sites can use the same pattern.

  See How Empresas SB Did It >

  Expert Eye

  The AI Risks No Enterprise Leader Can Afford to Ignore

  

  AI is moving faster than most governance models can keep up with. A new Gartner® report maps five AI risks, from ungoverned agents to sovereign AI mandates, then reveals the window you have to act on each. See where your org stands; get your copy now.

  Get My Copy

  Tune In

  Qlik Talend Unlocked: Watch On Demand

  

  Watch three episodes now: cut migration planning from weeks to hours, speed up job promotions with CI/CD, and automate testing in Talend Studio.

  Watch the Series

  Show Less

  By Maddie 2026-10-20 / 07:54 PM

  0 0 211
• 
  

  Qlik Digest

  Qlik Digest - Analytics Edition - October 2026

    Build for What’s Next Welcome to the October Qlik Digest. This month, explore the latest insights, a customer success story, and practical resource... Show More

   

  
  

  Build for What’s Next

  Welcome to the October Qlik Digest. This month, explore the latest insights, a customer success story, and practical resources to help you build for what’s next.

  In this issue

  Customer Spotlight - Brüggen saved €500K+ by putting stock from every plant in one view.

  Think Ahead - The three conditions that move agentic AI out of pilot.

  Insider Tip - Put Agentic AI to Work with tips from Qlik Community.

  Expert Eye - The AI Risks No Enterprise Leader Can Afford to Ignore.

  Tune In - 30 minutes to better AI results in Qlik Cloud, on demand.

  Customer Spotlight

  How Brüggen Found €500K Hiding in Its Inventory Data

  

  €500K+ Saved

  On Stock

  15% More

  Accurate Forecasts

  Brüggen swapped manual SAP extracts and spreadsheets for one dashboard across its European plants and saved more than €500K on stock. The same setup works for any inventory you manage.

  See How Brüggen Did It >

  Think Ahead

  Agentic AI Works When Your Data Does

  

  If your team is testing AI but can't fully trust the answers yet, you're in good company: one in three organizations say the same. IDC sets out the three conditions that get AI from pilot into daily use.

  Read the IDC Spotlight

  Insider Tip

  Put Agentic AI to Work with Qlik Community

  Agentic AI just got its own space in Qlik Community. Pick up the best tips and insights, ask your burning questions, and share what’s working for you.

  Join the Conversation >

  Expert Eye

  The AI Risks No Enterprise Leader Can Afford to Ignore

  

  AI is moving faster than most governance models can keep up with. A new Gartner® report maps five AI risks, from ungoverned agents to sovereign AI mandates, then reveals the window you have to act on each. See where your org stands; get your copy now.

  Get My Copy

  Tune In

  Get Better Answers From AI in Qlik Cloud

  

  Learn how to prep your data for AI, write prompts that work, and speed up results. Watch any time, on demand.

  Watch On Demand

  Show Less

  By Maddie 2026-10-20 / 07:45 PM

  0 0 184
• 
  

  Support Updates

  Qlik DataTransfer Deprecation Notice for Q1 2026

  Qlik DataTransfer will be officially End-of-Life by the end of Q1 2026. It will be removed from the Product Downloads site later this year and will no... Show More

  Qlik DataTransfer will be officially End-of-Life by the end of Q1 2026.

  It will be removed from the Product Downloads site later this year and will no longer be available for new installations or upgrades. Qlik will provide support until April 30, 2026.

  Support for Qlik DataTransfer ended in April of 2026, and it is expected to stop functioning after November 29th, 2026. Review and implement the recommended alternatives documented in this blog post. A more in-depth breakdown of the alternatives will follow in late October.

  To ensure a smooth transition, we recommend you begin utilizing Qlik Data Gateway – Direct Access, the supported alternative.

   

  How do I get started with Qlik Data Gateway - Direct Access?

  We have compiled a list of resources to assist you in adopting Qlik Data Gateway - Direct Access:

  • Setup Guide: Qlik Data Gateway – Direct Access
  • Walkthrough Video: Qlik Data Gateway – Direct Access
  • Troubleshooting Video: STT - Troubleshooting Qlik Data Gateway - Direct Access

   

  Additionally, for those needing feature parity with Qlik DataTransfer, we recommend pairing with the File Connector via Direct Access, REST Connector via Direct Access, and the generic ODBC Connector.

  Further Resources:

  • Connector Factory Blog: Connector Factory January and February 2025 Releases
  • SaaS in 60: File Connector via Direct Access Data Gateway - SaaS in 60

   

  We will share an update later this year with the exact deprecation and end-of-support dates.

  For assistance, please contact Qlik Support. Questions on how to contact Qlik Support. 

   

  Thank you for choosing Qlik,
  Qlik Support

  Show Less

  By Sonja_Bauernfeind 2025-05-06 / 08:00 AM

  25 6 21074
• 
  

  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.

  The changes are expected after October 28th, 2026 and will be communicated in the respective release notes.

   

  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. The standalone ODBC Connector (QvOdbcConnectorPackage.exe) remains unaffected for the time being.

  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. 
  • If you are not already using TLS 1.2 or later, recreate the connection with the updated TLS configuration.

  
  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

  Show Less

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

  7 1 2433
• 
  

  Product Innovation

  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 More

  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 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!

  Show Less

  By SimonSwan 2026-10-15 / 11:17 AM

  1 1 821
• 
  

  Japan

  第6回 Qlikデータソン「Hack the AI Answers ― Qlik AI活用アイデアコンテスト」参加者募集のお知らせ

  第6回 Qlikデータソン「Hack the AI Answers ― Qlik AI活用アイデアコンテスト」参加者募集のお知らせ   Qlikデータソンは、Qlikユーザー・パートナーの皆様がスキルとアイデアを競い合うコミュニティイベントです。過去5回はQlikアプリの構築力やデザイン力を競って... Show More

  第6回 Qlikデータソン「Hack the AI Answers ― Qlik AI活用アイデアコンテスト」参加者募集のお知らせ

  

   

  Qlikデータソンは、Qlikユーザー・パートナーの皆様がスキルとアイデアを競い合うコミュニティイベントです。過去5回はQlikアプリの構築力やデザイン力を競ってきましたが、第6回のテーマは「AI」。Qlik Cloudに搭載されたAI機能を使って、「QlikのAI、こんな使い方ができるのか！」と驚くアイデアを形にし、5分以内のデモ動画で競います。

  本日10月15日（木）より、TECH PLAYにて参加申込を開始しました。

  ▼ 詳細・お申し込み（TECH PLAY）

  [TECH PLAY申込URL]

  
  ■ 今回のテーマ：Hack the AI Answers

  Qlik Answers、Qlik MCP Server、AIエージェントなど、Qlik CloudのAI機能を1つ以上、作品の中核として使ってください。テーマもデータも自由です。業務シナリオでも、業務外の題材でも構いません。Claude や ChatGPT など外部のLLMとの組み合わせも歓迎します。これまで培ったQlikのBIスキルと組み合わせた作品も大歓迎です。

  こんな方におすすめ！
  ・Qlik Answers や Qlik MCP Server を触ってみたい、使いこなしたい方
  ・「AI × Qlik」で業務を変えるアイデアを持っている方
  ・自社のQlik活用スキルをコミュニティに発信したい方
  ※Qlikを使い始めたばかりの方も歓迎します。アイデアと伝わりやすさも評価の対象です。

  
  ■ 開催概要

  ・参加申込：2026年10月15日（木）〜11月24日（火）17:00（定員100名・先着順）
  ・作業期間：10月29日（木）〜11月30日（月）17:00（オンライン・最大約4週間、ご自身のペースで）
  ・キックオフイベント：11月4日（水）14:00〜15:30（オンライン・録画公開）
  ・Qlik審査・ファイナリスト決定：12月1日（火）〜12月8日（火）
  ・結果発表：12月10日（木）「第6回 Qlikデータソンアワードパーティ」にてファイナリスト作品の上映・最終審査・表彰（東京会場＋オンライン配信）
  ・対象：Qlik製品をご利用中、またはご利用をご検討中の企業の方、Qlikパートナー企業の方（Qlik未経験の方も参加できます）
  ・部門：ユーザー部門／パートナー部門（部門別に審査・表彰）
  ・参加形態：個人参加またはチーム参加（1チーム3名まで）。1組1作品。参加費無料
  ・成果物：5分以内のデモ動画＋エントリーシート（Qlik Senseアプリ等の提出は不要）

  
  ■ 作業環境

  Qlik Cloud Analytics と Qlik Talend Cloud の両方を、必要なAI機能をセットアップ済みの状態でご利用いただけるQlik Cloud環境をQlikが用意します。事前準備は不要です。

  データはご自身でご用意いただくほか、Qlik提供のサンプルデータ（化粧品・トイレタリー企業の売上・EC・問い合わせデータ等）もご利用いただけます。

  
  ■ アプローチ例

  初心者の方もイメージしやすいよう、15のアイデアを用意しました。詳細はTECH PLAYのイベントページをご覧ください。
  ・Qlik Answers：経営アシスタント／商品カタログ・コンシェルジュ／社内ルール・マニュアルFAQ
  ・Qlik MCP Server：「このCSVでダッシュボード作って」／週次レポートの自動生成／Claude Skills × MCPで「Qlikアプリ作成の完全自動化」
  ・AIエージェント：非分析者向けの対話型探索／「そのデータどこ？」をエージェントに聞く／データ準備の対話化
  ・Qlik Talend Cloud × AI：データ統合から対話分析まで一気通貫／カタログの自動ドキュメント化／パイプライン運用エージェント
  ・組み合わせ・体験設計：見る→聞く→深掘り／Slack・Teams連携bot／BIスキル × AI「読めるダッシュボード」

  
  ■ 評価の観点

  驚き・新規性 ／ ビジネス価値・実用性 ／ AI機能の活用度 ／ 技術的完成度・再現性 ／ 伝わりやすさ
  ※Qlik Answersのみの作品も、外部LLMを組み合わせた作品も、同じ基準で評価します。

  
  ■ 賞品

  最優秀賞（部門別）ほか、各賞に豪華賞品をご用意します。
  Bose、Meta Glasses、Dyson 、リファなど
  ※こちらは賞品の一例です。賞品は一部変更となる可能性がございます。

  
  ■ 結果発表へのご参加について

  ファイナリストの発表と表彰は、12月10日（木）の「第6回 Qlikデータソンアワードパーティ」で行います。ファイナリスト作品を上映し、パーティ会場での最終審査で受賞者を決定します。受賞された方には、その場で一言コメントをいただく予定です。

  開催形態は東京会場＋オンライン配信（お申し込み多数の場合）です。東京会場の席は抽選で決定し、抽選に外れた方はオンラインでご視聴いただけます。データソン参加者の皆様は、ぜひアワードパーティにお申し込みください。ご欠席の場合も受賞は有効で、賞品は後日お送りします。データソンに参加されない方も、アワードパーティのみのご参加を歓迎します。アワードパーティの申込ページは別途ご案内します。

  
  ■ 参考情報

  Qlik Answers、Qlik MCP Server、AIエージェントの基本を学べる資料・動画のリンク集をTECH PLAYのイベントページに掲載しています。あわせてご覧ください。

  
  ■ お申し込み・お問い合わせ

  ▼ お申し込み（TECH PLAY）
  [TECH PLAY申込URL]

  お問い合わせ：TECH PLAYの申込ページからQlikデータソン事務局にお問い合わせください。

  皆様のご参加をお待ちしています。

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  By ShoNakajima 2026-10-15 / 05:00 AM

  0 0 479
• 
  

  Support Updates

  ODBC Connector for Qlik Cloud and Direct Access Gateway: Upcoming End of Support...

  Beginning January 2027, the Qlik Cloud and Direct Access Gateway (DAG) ODBC Connectors will no longer support connections secured with TLS 1.0 or TLS ... Show More

  Beginning January 2027, the Qlik Cloud and Direct Access Gateway (DAG) ODBC Connectors 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 later in advance.

  For the relevant announcement and dates regarding Qlik Sense Enterprise on Windows, see ODBC Connector for Qlik Sense Enterprise on Windows: Upcoming End of Support for TLS 1.0 and TLS 1.1 in 2026.

   

  Why will this change take effect?

  • In Qlik Cloud, the change takes effect immediately on the 20th of January, 2027.
  • Direct Access Gateway will include the change with its upcoming 1.8.4 release, meaning it will not be affected until an upgrade is performed.

   

  Refer to the release notes and What's New upon release 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 Cloud and Direct Access Gateway only. Customers using Qlik Sense Enterprise on Windows should instead refer to the separate announcement covering that change.

  Any data source connection made through the ODBC connector in Qlik Cloud or Direct Access Gateway 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 this change takes effect.

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

  This will impact you on January 20, 2027 for Qlik Cloud, or following your Direct Access Gateway update to release 1.8.4.

   

  What should I do?

  • Review and upgrade your environment so that all ODBC connections negotiate TLS 1.2 or greater before January 20, 2027 (Qlik Cloud) or before upgrading to Direct Access Gateway release 1.8.4.
  • If you are not already using TLS 1.2 or later, recreate the connection with the updated TLS configuration.

   

  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 2026-10-12 / 08:00 AM

  0 1 807
• 
  

  Japan

  【11/12（木）15:00 開催】サッポログループのデータ基盤構築と Qlik 採用の背景

  本 Web セミナーシリーズでは、Qlik でデータからアクションを起こすデータ主導のビジネスで成功しているお客様より、課題から導入の経緯、デモンストレーション、活用例などをご紹介します。 ※ 視聴無料。パソコン・タブレット・スマートフォンで、どこからでもご視聴いただけます。 【11/12（木）15... Show More

  本 Web セミナーシリーズでは、Qlik でデータからアクションを起こすデータ主導のビジネスで成功しているお客様より、課題から導入の経緯、デモンストレーション、活用例などをご紹介します。

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

  【11/12（木）15:00 開催】
  サッポログループのデータ基盤構築と Qlik 採用の背景

  サッポログループは、営業、物流、会計をはじめ、バリューチェーンの各領域を横断したデータ活用を支える共通基盤「SAPPORO DATA FACTORY」を構築し、全社的なデータ民主化を推進しています。本 Web セミナーは、データ基盤構築に取り組んだ背景や、Qlik Talend Cloud® を採用した理由、そして導入によって得られた成果をご紹介します。データドリブン経営を支える基盤づくりの実践知をお届けします。
  

  今すぐ申し込む

  

  今すぐ申し込む

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  By Qlik_JP_MKT2 2026-10-09 / 07:48 AM

  0 0 77
• 
  

  Support Updates

  Techspert Talks - AI Best Practices with Qlik 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 More

  Hi everyone,

  Want to stay a step ahead of important Qlik support issues? Then sign up for our monthly webinar series where you can get first-hand insights from Qlik experts.

  The Techspert Talks session from October looked at AI Best Practices with Qlik 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:

  • AI in Qlik Cloud
  • Data prep best practices
  • How Answers works
  • Upcoming improvements

  
  WATCH HERE

   

   

  

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  By Troy_Raney 2026-10-07 / 10:04 AM

  0 1 599