Reviews (1-25 of 185)
- Easy to implement for relatively simple analytics
- Deep user base/knowledge base
- Reasonably nice UI
- Data load is a bit byzantine - there should be a one-click data load process
- Hard to "undo" or modify data load criteria once it's been set up
- Up to down scrolling would be nice to have - it's pretty standard functionality
The current usage is quite limited as it does not connect to our existing systems yet, especially for the finance domain where we have to upload our own Excel files. Understand that this is not a Qlik Sense problem, but a data warehouse problem which the organisation is currently trying to resolve as well. Once the data warehouse is set up and running, Qlik Sense will be more widely and actively used.
- Ease of publishing dashboards on an enterprise-level via streams.
- Scripting language is powerful with lots of functions.
- Qlik Sense can handle the whole data lifecycle, from ETL all the way to visualisations on dashboards.
- Things are not as easily customisable as say, Power BI or Tableau. E.g. font size, font type, text location, etc. No overlay/floating visuals capability as well.
- Complex front-end development makes the dashboards a bit sluggish and slow.
If the user wanted to do a quick and dirty data exploratory analysis of a given data file, Qlik Sense feels unwieldy, and other tools feel more snappy and easier to explore with.
- Flexibility to play with data.
- Management console.
- Basic formatting issues: Color/font esp in graphs and Pivot.
- Use of master measures in expressions.
- Alternate state to have more options.
- More options rather than having to solve everything using set analysis.
- Data links and relations
- Data filters
- Handling huge data
- AI Bot
- Easy Customization like Power BI
- Real-time data feeds
- Geo analytics
- More AI
- Data inputs at front end
- Data reloads
- Can access different data sources directly.
- Easy to learn to build simple reports.
- Continual support from Qlik Sense team.
- Cannot change font size in the graphs, hard to read the graph titles especially when projecting to larger screens. Just the graph size becomes bigger not the titles at all!
- It's not really that easy to build the data model behind, steep learning curve. The built-in data manager is no use for serious analysts.
- Hard to visualise clearly on big screens, very faded and white on big screens.
- Data security model is complex.
- Cannot use version control software on Qlik Sense files, harder on collaborative work.
- Set analysis is powerful and useful but complex.
- Visualizations that interact with the user.
- Associations help users understand the data and can provide answers.
- Handling of large volumes of data with ease.
- Restrict who can see what especially with functional data.
- From a development point, be able to replicate variables more easily and be able to use the find/replace function.
- More flexibility around waterfall charts and making them easier to build.
- Ability to do cyclical groups (as in QlikView) so save canvass space.
- Simplicity and easiness
- Speed of analysis
- Green-Gray-White feature
- The desktop version is longer free. It makes it hard to recommend it to everyone.
- Lacking interoperability. Only Qlik is able to access QVD Data. Should make a connector to another program.
- Need a mobile version app with simple authentication (like current the desktop version) which can directly connect to get data in the cloud.
- End-user driven analysis
- Multi-table data structures
- Data Manager is almost completely non-performant with large data volumes or complex queries, wasting large amounts of analyst time waiting around for the necessary synchronize tables step, which can take *actual hours* and doesn't even actually load the data! We elected not to utilize Qlik as our embedded BI tool for this reason: I couldn't imagine putting my own users through what I deal with on a regular basis. I also have several apps which appear to have developed some sort of bug which prevents me from
- Many common analytics questions are not really possible to perform in the front end and must be pre-calculated either in the load script or your data warehouse: rolling averages, period over period calculations, and several other common transformations are not really possible without (exceedingly complicated and unintuitive) "set analysis" scripts, and some are just best handled in
- Adding multiple event streams from different tables to a single graph is essentially impossible; you must instead redesign your data model to allow for a single data field to refer to all the relevant events. There is no internal feature to help you do this.
- Overall, Qlik is a system which serves end users reasonably well, and the data model combined with the selections feature *should* free up Analyst hours due to enabling end-user driven analytics, but that opportunity is lost due to how difficult it is to use and maintain apps in the back end.
- I don't know if this is a "room for improvement" but Qlik's model is to internalize all data to disk on your Qlik server, which means if you are looking for a tool to make best use of a high-powered big data warehouse with excellent OLAP processing times, Qlik is not the tool for you.
- You have a highly data literate team of stakeholders who will benefit from being able to do their own analysis.
- You have an IT team familiar with Windows Server. (Not relevant to Cloud offering)
- You have ample analyst resources and training time.
Qlik Sense Enterprise is problematic when:
- You have limited analyst resources.
- You have a broad array of data literacy among your end users, requiring more explicit graphs to be designed by your analysts.
- You want to take advantage of a powerful big data warehouse with good on-demand OLAP performance.
- Data Modeling. I really appreciate how Qlik Sense is a truly approachable professional tool. Loading and connecting data tables into an app can be as simple or complex as your project requires. This allows both novice and expert users to effectively develop data visualizations.
- Wide Userbase. The fact that Qlik Sense has so many users around the globe means that there are a plethora of training materials available online from many sources. Qlik's training materials are helpful, but I also found valuable resources at Udemy.com and even on YouTube.
- Consistent Visualizations. The process for creating nearly every type of visualization is very similar, meaning that it does not take long for a new user to learn the basic processes of the program and to become an efficient report/app developer.
- Simplicity. Being a PowerBI user as well, I think Microsoft does a better job concerning the simplicity of layout and cloud integration of their product.
- Modern Design. I also think PowerBI does a better job of making aesthetically attractive visualizations right out of the box. Some of Qlik Sense's visualizations are very practical, but lack of design without a lot of finicky adjustments.
- Data modeling is incorporated in the product, allowing for a "no warehouse" approach to smaller reporting solutions. This means we can get off the ground with new reporting projects (or replacements of currently manual processes) without cross-organization coordination, and our analysts don't have to become experts in multiple tools to deliver useful outputs.
- The Data > Analysis > Story workflow allows for precise analysis reports/commentaries on specific areas, with the ability to drill back to the analysis screens for broader exploration.
- Without much thought at all, simple data models just "happen". With proper design, complex data models function well, too. Data processing within Qlik Sense data files happens dramatically faster than the equivalent processing on our Oracle database servers, meaning we can pull raw data in bulk and process it more quickly in Qlik Sense, removing the need for a lengthy warehousing time slot in our nightly database schedule.
- Visualizations can be difficult to customize. For example, while it's possible to select specific colors for chart items, it's not immediately obvious how this works, so there's either a bit of a learning curve for what's a basic task in any other tool, or you end up with every report following the Qlik default scheme. This isn't just an aesthetic preference; color can be crucial in guiding a user through a series of complex reports, and Qlik makes this harder to manage than some other tools I've used (though not impossible).
- Selecting a reseller is more opaque than it needs to be. We happened to land on an excellent reseller when re-procuring our licenses, who brought with them a whole approach to modeling data in Qlik Sense which we otherwise wouldn't have known about, and which, despite the licenses costing about the same, has saved us months of development time. Other customers will presumably be less lucky.
- I'd really like it if my having purchased the QAP license for publishing dashboards externally meant I was also covered for my internal customers. As it is I still have to buy "viewer" licenses for internal users. If we weren't already locked into the Qlik Sense contract because we've already made the big payment and are now only paying maintenance, it would be hard to justify buying this product over cheaper competitors. I still think it's a good product, but in ways that it's hard to articulate in a local government procurement process.
Qlik data files are also fast to process, meaning a query we'd hesitate to run against our live database during work hours will run in a second from the nightly Qlik extract. Our workflow is to extract from the source into one Qlik data file, then pull and transform from that file into another, rather than transforming from the source. This requires more design work to keep the load scripts tidy, but it works well.
One thing I would say is that to get the most out of Qlik's data modeling you need to either put careful thought into the design process or adopt an established methodology.
- Qlik Sense has a low threshold for entry into development, which makes it possible to include the maximum number of units in it at the lowest cost.
- In addition to the system, better training is required.
- The power of grey: the possibility to filter on everything - even if it is not included in your current selection.
- User friendly in creating graphs/tables: with limited explanation a user can create themselves simple dashboards.
- Possibility to easily create data models linking different systems and tables.
- Visuals: changing the basic/preset colour schemes is hard.
- Not possible to select null values (blanks) without altering the Input.
- In QAP it is not possible for a user to save often used filters.
In Qlik we created QVDs per source to improve speed and for each main part of data one cube has been made. This means that when drawing reports we are always making this on the same basis and risk to have contradictory info is very low because your basis is always the full database.
Our ERP contains a large set of lines, going to the detailed lines per invoice, all info available on clients and all actions taken on a client. Before we had SQL report in reporting service: when loading the report of invoicing per client you could get a coffee. And if you noticed that your filter was wrong you could start over. No detail was available. Now we have a full detail model which takes 30 seconds to load.
- Data modeling with the associative engine.
- Set analysis for fine controlled expressions.
- ETL capabilities with the load script editor.
- Visualization choices and customizations.
- Simplification of set analysis syntax.
- Develop concepts of data models.
- Modeling data from multiple sources.
- ETL lite via scripts.
- Data discovery.
- Highly custom visualization.
- Quick to learn & easy to use.
- Automatically renders for the particular device, therefore works great on both desktop and mobile devices.
- Has Qlik's powerful cognitive engine that helps highlight relationships it data.
- It's consistent, from its underlying technology, code, standards, Qlik maintains a level of consistency unlike other vendors that frequently chop and change D&A products.
- Storyboard is sometimes poor a rendering content, particularly 3rd party extensions.
- Would be good to see the Qlik Value Added products & more extensions available in the Qlik Cloud.
- Easy to drill into data from annual into hourly.
- Easily customizable.
- Links well with multiple data sources.
- Takes too long to get comfortable with navigating around and using.
- It doesn't feed into presentations well or I haven't figured out how to do it the way I want.
- Looks nice
- Easy to read
- Nice UI
- Great for display and presentation
- Easy to get hard to find data
- Hard to set up
- Sharing/limiting access very difficult
- Printing/exporting to PDF functionality does not work well
- Editing is very hard
- Updates were TERRIBLE and wrecked my account, needed help for 6 weeks to get it right again. George helped me and he was great.
We are one of the biggest telecommunications services providers in Belgium with a total business employee base of around 10K. We are using Qlik Sense for all departments with around 60 Developers and around 700 Consumers to address order-related statistics, purchases, finance, revenue business decision related queries.
One of the examples is, it addresses the entertainment-related statistics on all our service users which helps us in advertisement-related decisions.
- Qlik Insights: Which lets us to have a basic starting point on how we can start visualizing data.
- QVD creation: Due to its RAM based data analysis structure with QVDs which helps us in fast data analysis.
- Extensive Visualization bundle and numerous extensions help in exploring more and more insights in data.
- Visualization such as charts and graph editing experience could be made a bit easy.
- Data manager loads too long for just 2 tables.
- Scripting editor could be more informative when getting issues in data loading.
There are a huge number of scenarios where Qlik Sense is suited, like for faster data retrieval, engine performance, REST API application for remote services, QVD Data Library for storing and reusing data for different applications.
But the scheduling service does not have the emailing service on its own which could be a great asset for Qlik Sense.
We have data coming from different sources including flat files, Oracle, DB2 and BigData cluster like Hive and Impala.
The data modelling with combining different sources works good till the data size is reasonable.
The load script editor serves the purpose making many manipulations in combining these data sources but still lacks greater speed in data loading in Qlik Sense.
Single User is less appropriate. Qlik Sense is more for enterprise, not for individual users. Qlik Sense is not the most fancy BI tool in the market. But it does suit for a lot of practical needs.
Qlik Sense Scorecard Summary
Feature Scorecard Summary
About Qlik Sense
Qlik Sense is a business intelligence (BI) and visual analytics platform that supports a range of analytic use cases. Built on Qlik’s unique Associative Engine, it supports a full range of users and use-cases across the life-cycle from data to insight – with self-service analytics, interactive dashboards, conversational analytics, custom and embedded analytics, mobile analytics, and reporting. The solution comes in three different editions - Qlik Sense Enterprise, Business, and Team. Qlik Sense can be deployed in the cloud or on-premises.
Qlik Sense sets the benchmark for third-generation analytics platforms, empowering everyone in organizations to make data-driven decisions. People of all skill levels get unmatched analytical power, with unique associative exploration and search, AI-powered insight suggestions, AI-accelerated creation and data prep, advanced analytics integration, and natural-language, conversational interaction. They can easily share and communicate the insights they discover and get answers anywhere they work – with fully interactive and secure online and offline mobility. And for the enterprise, you get a true platform with open and standard APIs for customization and extension, powerful data integration and connectivity, centralized management and governance, and a Kubernetes based SaaS / multi-cloud architecture driving scalability across combinations of on-premise, private, and public cloud environments.
Qlik Sense Screenshots
Qlik Sense Videos (12)
Watch Try a Qlik Sense App
Watch Qlik GeoAnalytics
Qlik Sense Downloadables
- Qlik Sense Data Sheet Qlik Sense® is our governed, next-generation visual analytics product, supporting a full range of BI use cases for individuals, groups, and organizations, including self-service visualization, centrally deployed guided analytics apps and dashboards, custom and embedded analytics, and reporting. Business users of all types and skill sets get powerful, flexible visualization and discovery on any device, all within a governed framework that drives enterprise scalability and trust for IT.
- Qlik NPrinting Qlik NPrinting is Qlik’s next-generation reporting and distribution solution, helping spread knowledge and insight across the organization and beyond. This data sheet provides an overview of the product and its capabilities for report creation, distribution, and enterprise deployment.
- Qlik's Statement of Direction
- Qlik Insight Bot The Qlik Insight Bot provides an AI powered, conversational analytics experience, giving people a faster and easier way to ask questions, generate insights, and make data-driven decisions using natural language. It can be readily accessed from within Qlik Sense as well as through popular collaboration tools such as Slack, Skype, Salesforce Chat, and Microsoft Teams. Natural Language Processing (NLP) automatically trains itself and learns from user inquiries over time, and Natural Language Generation (NLG) delivers insights for not only what is happening, but also why – and where to go next. Insights include auto-generated charts, interpretations, key drivers, period-over-period calculations, predictions for measures, and even comparative analysis. Users can set alerts for KPI thresholds, share and collaborate conversationally, and even interact using voice – with Amazon Alexa integration.
- Qlik APIs A short data sheet describing the Qlik Sense APIs
- Qlik Data Catalyst Qlik Data Catalyst™ is a modern enterprise data management solution that simplifies and speeds up how you catalog, manage, prepare, and deliver your trustworthy, actionable data to business users across your enterprise.
- Qlik Scalability Tools
- The Qlik Associative Big Data Index The Qlik Associative Big Data Index delivers Qlik’s associative experience on top of Big Data, allowing users to freely explore and search Big Data repositories while leaving the data where it resides. This capability provides a governed, high-performance associative engine that can be deployed within sources such as Hadoop based data lakes, eliminating the need to transfer and prepare the data elsewhere before it can be analyzed.
- Qlik Connectors
- Qlik Analytics Platform - the power of the Qlik® Associative Engine and visualizations in the hands of application and web developers through powerful, open, and modern APIs – allowing you to see all the connections among all the values in all your data.
- Qlik Core - With Qlik Core, you can take advantage of Qlik's powerful associative engine to build, extend and quickly deploy custom interactive data-driven solutions that are highly scalable and cloud-ready. And built for Linux and running in a Docker container, Qlik Core applications can easily be embedded into any stack, IoT device, process, application, web page, or portal.
Qlik Sense Integrations
Qlik Sense Competitors
- Has featureFree Trial Available?Yes
- Has featureFree or Freemium Version Available?Yes
- Has featurePremium Consulting/Integration Services Available?Yes
- Entry-level set up fee?Optional
|On-premise Edition||Pricing Details||Terms|
|Qlik Sense Perpetual||$1,500||1-50 users|
|SaaS Edition||Pricing Details||Terms|
|Qlik Sense Subscription||$840||1-50 Users|
Qlik Sense Enterprise: Perpetual license basis, based on number of users Qlik Sense Enterprise: Subscription, based on number of users Qlik Sense Desktop: FREE Qlik Sense Cloud: FREE
Qlik Sense Support Options
|Free Version||Paid Version|
|Video Tutorials / Webinar|
|YouTube - https://www.youtube.com/playlist?list=PLdnQXZq2xRoAnbUOZl6fueHxRkZs8f5a8|
Qlik Sense Technical Details
|Deployment Types:||On-premise, SaaS|
|Operating Systems:||Windows, Linux, Mac, Kubernetes|
|Mobile Application:||Apple iOS, Android, Windows Phone, Blackberry, Mobile Web|
|Supported Countries:||Americas, EMEA, LATAM, APAC|
|Supported Languages:||The Qlik Management Console is English only. The Qlik Sense client supports the following languages: English, German, Spanish, French, Italian, Japanese, Dutch, Brazilian Portuguese, Russian, Swedish, simplified Chinese, Polish, Turkish, Korean, and Traditional Chinese. The language Qlik Sense uses depends on the language preferences of your browser. The default reading order in a Qlik Sense app is left to right. You can change the reading order to right-to-left in your app preferences if your data or labels are in a right-to-left language such as Arabic or Hebrew.|