Interactive Qlik Demo
Walk through an interactive demo of Qlik, a business intelligence platform built around an associative engine that lets you explore data freely instead of following predefined query paths. See how dashboards, selections, and visualizations respond as you click through the data.
What is Qlik?
Qlik is a business intelligence platform for building dashboards and exploring data, best known for its associative engine. Most BI tools answer the specific question a query was written to answer. Qlik loads your data into memory and keeps every value connected, so when you click a region, a product, or a date, every chart on the screen updates at once, and it also shows you which values are not related to your selection. That second part, seeing what's excluded, is what makes Qlik feel different from a standard dashboard.
The main product is Qlik Sense, the modern cloud and on-premises platform where dashboards get built and consumed. QlikView, the older application, is still used at many organizations but Qlik Sense is where new development happens. You build apps by loading data from spreadsheets, databases, and cloud sources, then placing charts, tables, and filters onto sheets. Users explore by clicking, and the associative engine handles the rest, no need to anticipate every question in advance.
Qlik has expanded well past dashboards. It now includes data integration and pipeline tooling, embedded analytics, and AI-assisted features that surface insights and answer questions in plain language. It's an enterprise platform with pricing and deployment to match, so it tends to sit with BI teams and data-driven departments. When a team rolls out a new Qlik app, an embedded Supademo walkthrough is a practical way to show users how to navigate it without scheduling a live training session.
How to get started with Qlik
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Sign up for a Qlik Sense trial
Qlik offers a free trial of Qlik Sense, its cloud analytics platform. Sign up at qlik.com to get access for a limited period. The trial includes the full app-building experience, which is enough to load real data and see how the associative model behaves before committing.
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Load your data into an app
Create a new app and connect a data source: a spreadsheet, a database, or a cloud connection. Qlik loads the data into memory and you can review how tables relate before building anything. Getting the data model right here is what makes the rest of the app behave as expected.
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Build sheets with charts and filters
Add sheets to your app and place visualizations onto them: bar charts, line charts, tables, KPI tiles, and filter panes. You drag fields into a chart and Qlik suggests a sensible visualization, which you can then adjust. Filters and selections come from the engine, so you don't wire them up manually.
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Explore with selections
Click any value in any chart and watch the whole app respond. Related data updates, and unrelated values are shown as excluded rather than hidden, so you can see the full picture of what your selection touches. This click-to-explore behavior is the core of how Qlik is meant to be used.
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Publish and share the app
Publish the app to a stream or space so colleagues can access it with the right permissions. To help users get oriented, an embedded Supademo walkthrough can show them how to navigate the dashboard and make selections, so the app gets used the way it was designed without a live training call.
Who is Qlik most useful for?
Qlik works best for organizations where exploring data, not just viewing a fixed report, is part of the job.
BI and analytics teams are the builders. They construct the data models and apps, and Qlik's scripting layer gives them control over how data is loaded, transformed, and related before anyone touches a chart. For these teams the associative engine is a feature they design around, not just a convenience.
Business analysts and department leads in finance, sales, operations, and supply chain are the day-to-day users. They want to follow a question wherever it leads, drilling from a company-wide number into a specific segment without filing a request for a new report. Qlik's click-to-explore model fits that exactly. When a new dashboard launches, recording a short Supademo of how to use it gives those users a self-serve reference instead of a one-time walkthrough they'll forget.
Larger enterprises with serious governance needs lean on Qlik for centralized data, access control, and the ability to scale across many users. Organizations that also need data integration often choose Qlik partly because the pipeline and analytics pieces come from the same vendor. Qlik is heavier than a lightweight charting tool, so it makes the most sense where data exploration is genuinely central to how teams operate, and an embedded Supademo can lower the learning curve when those teams onboard new people.
Power BI is Qlik's most common competitor, largely because of price and Microsoft integration. If your organization runs on Microsoft 365, Power BI is cheaper to adopt and familiar to most users. Where Qlik pulls ahead is the associative engine, since Power BI follows a more conventional query-and-filter model that doesn't surface excluded data the same way.
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Tableau is built around visual analysis, and many analysts find its charting and exploration experience the most refined of the major BI tools. It handles ad hoc visual discovery beautifully. Qlik differentiates on the data model side, where the associative engine and scripting layer give builders more control over how data relates underneath the visuals.
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Looker takes a different route, defining metrics in a code-based modeling layer called LookML so every report draws from one governed definition. That suits engineering-led data teams who want consistency enforced centrally. Qlik puts more exploratory freedom directly in users' hands, while Looker leans toward governed, modeled access.
Sigma runs queries directly against a cloud data warehouse and presents the data in a spreadsheet-like interface, so business users can work with familiar formulas at scale. It's a newer, warehouse-native approach. Qlik's in-memory associative engine is a fundamentally different architecture, which matters when you want exploration that isn't bounded by live warehouse queries.
FAQs on Qlik
Commonly asked questions about Qlik. Have more? Reach out and our team will be happy to help.
Is Qlik free to use?
Qlik isn't free for ongoing use. There's a free trial of Qlik Sense that gives you the full cloud platform for a limited period, which is enough to evaluate it. Beyond the trial, Qlik is a paid, subscription-based platform priced for business and enterprise use rather than individual hobbyists.
What is the Qlik associative engine?
The associative engine is what sets Qlik apart from most BI tools. It loads your data into memory and keeps every value linked, so a selection in one chart updates every other chart at once. It also shows which values are excluded by your selection, not just which are included, so you can see relationships a standard query-based dashboard would hide.
What's the difference between Qlik Sense and QlikView?
Qlik Sense and QlikView are both Qlik products, but Qlik Sense is the modern, self-service platform where new development happens, available in cloud and on-premises form. QlikView is the older, more developer-driven application, still in use at many organizations but no longer the focus. New projects should generally start on Qlik Sense.
Do I need to know how to code to use Qlik?
No, using a Qlik dashboard requires no code at all, you explore by clicking. Building apps is a middle ground: you can create simple apps visually, but Qlik also has a scripting language for loading and transforming data, and serious app development usually involves some of it. Most business users only ever consume apps, not build them.
What data sources can Qlik connect to?
Qlik connects to a broad set of sources: Excel and CSV files, SQL databases, cloud data warehouses, REST APIs, and business applications like Salesforce and SAP. You can combine data from several sources into one app, and Qlik's data integration tooling exists for teams that need to build more substantial pipelines.
How does Qlik handle large datasets?
Qlik holds data in memory, which makes exploration fast even on large datasets, since selections don't trigger a fresh database query each time. The practical limit is the memory available to the deployment. Very large data volumes are handled through scaled cloud capacity or techniques like on-demand app generation that load detail only when needed.
Is Qlik good for embedded analytics?
Yes, Qlik supports embedded analytics, letting you place charts and full dashboards inside other applications and portals through APIs. Software companies use this to add reporting to their own products. That's a separate idea from embedding a Supademo walkthrough, which is more about teaching users how to navigate a Qlik app than displaying the data itself.
What kind of support does Qlik offer?
Qlik support depends on your subscription and plan. There's an active user community, detailed documentation, and Qlik Continuous Classroom training resources. Paid customers get technical support directly from Qlik, and enterprise agreements can add faster response commitments and dedicated account contacts.