Overview
What is QlikView?
QlikView® is Qlik®’s original BI offering designed primarily for shared business intelligence reports and data visualizations. It offers guided exploration and discovery, collaborative analytics for sharing insight, and agile development and deployment.
QlikView is a software package used to present and analyze finance or sales data to a wide audience.
QlikView is Good
Great Tool for Data Consolidation
TrustRadius Insights
Qlik: Useful and Handy BI Tool
Quick overview of QlikView
QlikView is a great tool for any firm, highly recommend
Perfect for data visualizations at the organization or department level
Own your information with Qlik Technology!
Banking with QlikView
It helps represent and simplify by using their …
Great tool but expensive
QlikView user review
QlickView for Big Data gathering and solution
QlikView comes to ease data analysis for higher management
Great analysis software for your report and dashboard needs!
Awards
Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards
Popular Features
- Drill-down analysis (65)9.090%
- Report sharing and collaboration (61)9.090%
- Customizable dashboards (65)8.080%
- Formatting capabilities (66)7.070%
Reviewer Pros & Cons
Pricing
QlikView
Custom
Entry-level set up fee?
- Setup fee optional
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Product Demos
QlikView Presentation HD
Qlikview Online Training - Qlikview Free Demo Video - Bigclasses
QlikView Tutorials for Beginners | QlikView Demo | Free Qlikview Training
QlikView for iPad
QlikView & Google Maps - Real Estate Demo
QlikView Export & Import Document Layout XML
Features
BI Standard Reporting
Standard reporting means pre-built or canned reports available to users without having to create them.
- 8Pixel Perfect reports(49) Ratings
Pixel Perfect reports are highly-formatted reports with graphics and ability to preview the report before printing.
- 8Customizable dashboards(65) Ratings
Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.
- 8Report Formatting Templates(59) Ratings
Ad-hoc Reporting
Ad-Hoc Reports are reports built by the user to meet highly specific requirements.
- 9Drill-down analysis(65) Ratings
Drill down analysis is the ability to get to a further level of detail by going deeper into the hierarchy.
- 7Formatting capabilities(66) Ratings
Ability to format output e.g. conditional formatting, lines, headers, footers.
- 8.3Integration with R or other statistical packages(36) Ratings
Integration with the open-source R predictive modeling environment.
- 9Report sharing and collaboration(61) Ratings
Report sharing and collaboration is the ability to easily share reports with others.
Report Output and Scheduling
Ability to schedule and manager report output.
- 8Publish to Web(48) Ratings
- 9Publish to PDF(56) Ratings
- 7.5Report Versioning(42) Ratings
Report versioning is the assignment of version numbers to each version of a report to help in tracking.
- 7.3Report Delivery Scheduling(47) Ratings
Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.
Data Discovery and Visualization
Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.
- 7.7Pre-built visualization formats (heatmaps, scatter plots etc.)(54) Ratings
Pre-built visualization formats are canned visualization types that can be selected to visualize different kinds of data.
- 7.5Location Analytics / Geographic Visualization(46) Ratings
Location analytics is the visualization of geographical or spatial data.
- 6.8Predictive Analytics(5) Ratings
Predictive Analytics is the ability to build forecasting models based on existing data sets.
Access Control and Security
Access control means being able to determine who has access to which data.
- 8.5Multi-User Support (named login)(58) Ratings
Named model access means that users have access based on name and password.
- 8Role-Based Security Model(54) Ratings
Role-based access means that access to data is determined by job or position in the corporation.
- 8Multiple Access Permission Levels (Create, Read, Delete)(54) Ratings
Multiple access permission levels means that different levels of users have different rights.
- 8.5Report-Level Access Control(2) Ratings
Report-level access control means that the type of report determines who has access to it.
Mobile Capabilities
Support for mobile devices like smartphones and tablets.
- 8Responsive Design for Web Access(44) Ratings
Web design aimed at producing easy-to-read sites across a range of different devices.
- 9Mobile Application(28) Ratings
A dedicated app for iOS and/or Android.
- 8Dashboard / Report / Visualization Interactivity on Mobile(38) Ratings
In-app dashboard reports and data visualization.
Product Details
- About
- Competitors
- Tech Details
- Downloadables
- FAQs
What is QlikView?
QlikView, Qlik’s classic analytics solution, aims to revolutionize how organizations use data, boasting an intuitive visual discovery that put business intelligence in the hands of more people than ever. Qlik Sense, the vendor's next-generation analytics platform, supports the full range of modern analytics use cases at enterprise scale by combining the Associative Engine with Cognitive Engine driving augmented intelligence, plus a scalable, governed cloud architecture.
As businesses modernize operational processes including BI, Qlik Sense is provided by the vendor as a way forward. Through the Qlik Analytics Modernization Program, QlikView users can adopt Qlik Sense at their own pace for a small uplift on their annual maintenance rate -- which Qlik states will expand the enterprise's analytic possibilities while reducing the total cost of ownership for BI.
QlikView Features
BI Platform Features
- Supported: Administration via Windows App
- Supported: Administration via MacOS App
- Supported: Administration via Web Interface
- Supported: Live Connection to External Data
- Supported: Snapshot of External Data
- Supported: In-memory data model
- Supported: OLAP (Pre-processed cube representation)
- Supported: ROLAP (SQL-layer querying)
- Supported: Multi-Data Source Reporting (Blending)
- Supported: Data warehouse / dictionary layer
- Supported: ETL Capability
- Supported: ETL Scheduler
Supported Data Sources Features
- Supported: MS Excel Workbooks
- Supported: Text Files (CSV, etc)
- Supported: Oracle
- Supported: MS SQL Server
- Supported: IBM DB2
- Supported: Postgres
- Supported: MySQL
- Supported: ODBC
- Supported: Cloudera Hadoop
- Supported: Hortonworks Hadoop
- Supported: EMC Greenplum
- Supported: IBM Netezza
- Supported: HP Vertica
- Supported: ParAccel
- Supported: SAP Hana
- Supported: Teradata
- Supported: Sage 500
- Supported: Salesforce
- Supported: SAP
- Supported: Google Analytics
BI Standard Reporting Features
- Supported: Pixel Perfect reports
- Supported: Customizable dashboards
- Supported: Report Formatting Templates
Ad-hoc Reporting Features
- Supported: Drill-down analysis
- Supported: Formatting capabilities
- Supported: Integration with R or other statistical packages
- Supported: Report sharing and collaboration
Report Output and Scheduling Features
- Supported: Publish to Web
- Supported: Publish to PDF
- Supported: Output Raw Supporting Data
- Supported: Report Versioning
- Supported: Report Delivery Scheduling
Data Discovery and Visualization Features
- Supported: Pre-built visualization formats (heatmaps, scatter plots etc.)
- Supported: Location Analytics / Geographic Visualization
- Supported: Support for Machine Learning models
- Supported: Pattern Recognition and Data Mining
- Supported: Integration with R or other statistical packages
Access Control and Security Features
- Supported: Multi-User Support (named login)
- Supported: Role-Based Security Model
- Supported: Multiple Access Permission Levels (Create, Read, Delete)
- Supported: Report-Level Access Control
- Supported: Table-Level Access Control (BI-layer)
- Supported: Field-Level Access Control (BI-layer)
Mobile Capabilities Features
- Supported: Responsive Design for Web Access
- Supported: Mobile Application
- Supported: Dashboard / Report / Visualization Interactivity on Mobile
QlikView Screenshots
QlikView Videos
QlikView Competitors
QlikView Technical Details
Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Windows, Linux, Mac |
Mobile Application | Apple iOS, Android, Windows Phone, Blackberry, Mobile Web |
Supported Countries | Americas, EMEA, APAC |
QlikView Downloadables
Frequently Asked Questions
Comparisons
Compare with
Reviews and Ratings
(791)Community Insights
- Business Problems Solved
- Pros
- Cons
- Recommendations
QlikView has proven to be a versatile and valuable tool for various use cases across different industries. Users have built reporting and dashboards based on accounting and operations data, allowing non-experts to explore data and identify potential prospects and targeted populations. With QlikView, the entire company has relied on data to inform their decisions, providing a flexible report builder that is used across multiple departments. The Sales team has utilized QlikView to track and identify hot leads, understand buying patterns, and analyze the sales life cycle.
Moreover, QlikView has been successfully implemented in the education sector at a university, where dashboards were developed for different entities within the institution. It has consolidated various data sources and systems, allowing users to view reports and filter data for reporting purposes. By organizing data from different systems that would not communicate with each other, QlikView addressed the issue of having to look in multiple places for similar data. In addition, it has provided granular information about SKUs and sales to enable informed decision-making on promotions in the marketing department.
Furthermore, QlikView has been instrumental in addressing business intelligence needs for customers across various domains such as marketing, finance, selling data, HR management, projects management, financial management, and R&D. The software allows key users within organizations to access highly-interactive analytics applications and dashboards that provide different points of view on the same data. It has also served as an enterprise analytics solution by creating dashboards containing HR, payroll, finance, training, and other data, reducing ad hoc reports and increasing communication and awareness. Moreover, QlikView's ability to visualize data quality management dashboards empowers business users, management, and executives to make decisions based on real-time changes.
Additionally, QlikView has supported ETL processes by ensuring data integrity between disparate product sources while identifying data gaps. Its capabilities extend beyond reporting needs as it generates C-Level reports and day-to-day operations reports, providing valuable insights across multiple levels of management. As a business intelligence tool, it has been successfully utilized to analyze and create reports from large datasets such as NIH clinical trial data, showcasing its ability to handle complex joins and produce clean reports.
Overall, QlikView is lauded for its speed, ease of use, and intuitive dashboards that allow users to navigate their data effectively. Customers have also relied on QlikView during tough times to identify and save money that would otherwise be wasted without resorting to layoffs. Its adaptability, performance
High Speed and Agility: Users have consistently praised QlikView for its high speed and agility in data visualization, with many stating that the software allows them to quickly navigate from a high-level view to granular details. This speed and agility enhance the overall data visualization experience, making it efficient and seamless.
Intuitive Data Exploration: The associative search feature in QlikView has received high praise from users for its intuitive and efficient data exploration capabilities. Many reviewers appreciate that it eliminates the need for predefined drill paths, allowing them to visually explore the data and go anywhere they want without restrictions. This feature greatly enhances their ability to analyze data effectively.
Powerful Data Loading Capabilities: Users highly regard the data loading capabilities of QlikView, considering it a powerful platform that can be extended and incorporated into web pages. The ability to integrate with the R open-source engine and build custom extensions adds to its versatility and usability. Several reviewers have mentioned this as a key strength of QlikView.
Confusing User Interface: Some users have expressed frustration with the software's user interface, stating that it is confusing and hinders their ability to perform tasks efficiently. They feel that the design or layout of the interface is not user-friendly.
Unhelpful Customer Support: Several users have voiced their dissatisfaction with the customer support provided by the software. They have found the support team to be unhelpful in addressing their concerns or providing timely assistance when needed.
Recurring Error 429: A common issue reported by multiple users is encountering recurring error messages with status code 429 while using the software. This has caused inconvenience and has disrupted their workflow on numerous occasions.
Based on user reviews, users commonly recommend the following for Qlik View:
- Spend time researching the true power of the tool and learning from other users' innovations in the online community.
- Get trained and utilize the support and assistance provided by Qlik View to make sure that the program is being used to its full capabilities.
- Have a designated code writer to make the processes of deployment easier and more proficient.
These recommendations highlight the importance of exploring the tool's capabilities, leveraging available resources, and making informed decisions to optimize the usage of Qlik View for complex businesses.
Attribute Ratings
- 8.8Likelihood to Renew29 ratings
- 9.8Availability4 ratings
- 8.6Performance4 ratings
- 8.2Usability14 ratings
- 3.4Support Rating15 ratings
- 8Online Training3 ratings
- 7.4Implementation Rating13 ratings
- 8.9Product Scalability2 ratings
- 8.7Data Visualization3 ratings
- 7.8Data Sources43 ratings
- 7.8Data Sharing and Collaboration43 ratings
Reviews
(1-5 of 5)QlikView Positive Review
- Fast applying changes to the filters
- Easy to deploy and needs minimal operation time
- It connects to all data sources we needed
- The online community is very helpful and it has a lot of data already
- The Select Tables form needs major renovations
- Still has stability issues where it crashes frequently
- Pixel Perfect reports
- 20%2.0
- Customizable dashboards
- 90%9.0
- Report Formatting Templates
- 70%7.0
- Drill-down analysis
- 90%9.0
- Formatting capabilities
- 90%9.0
- Report sharing and collaboration
- 50%5.0
- Pre-built visualization formats (heatmaps, scatter plots etc.)
- 30%3.0
- Location Analytics / Geographic Visualization
- 60%6.0
- Responsive Design for Web Access
- 60%6.0
Advancement
Helpdesk Managers
IT Managers
Student Services
The designer/developer usually handles the clients' request and maintaining the QV dashboards.
The system admin handles the QV server, handling permissions, licencing and monitoring.
- Vendor implemented
Click to view! No waiting in Qlikview.
- One of the main strengths I always bring up is the associative technology, which is the Green-Gray-White concept. This Qlikview functionality brings more intuitiveness to the applications in a very natural and efficient way.
- In-memory technology brings very quick and easy switching between field value selections, since ALL the data is stored in the RAM. Information is already available on click. This is very advantageous particularly for customers not very fond of the usual 'enter parameters, run report and wait 5 mins or so'.
- Ease of design and development. Qlikview can be as simple as creating reports in Excel, with minimal training, but at the same time seasoned developers can utilize technical and complex functionalities to bring out the most efficient methods and deliver difficult requirements.
- Availability for a mobile and tablet version of the application without additional development required. Everything is done by the server.
- Qlikview can be used 'on top' of other BI tools, much like Excel is usually used as the final presentation for reports.
- In-memory technology requires large amounts of RAM, and real-time data availability is not possible. Data is only limited to the last reload or refresh of the application.
- A corporate complaint I always hear: Expensive Licenses. Perhaps this can be remedied by having more variations.
- Not really a weakness, but for non-technical users looking to develop applications, a level of familiarity of proper data modeling and design techniques are needed to ensure information accuracy.
- Client is only available for Microsoft Windows systems, so development is only limited to that. Nonetheless the users may access the application using any platform with a web browser.
- IBM Cognos,Salesforce.com,ServiceNow,MS SharePoint / SQL,Crystal Reports,Microsoft Access
- Pixel Perfect reports
- 90%9.0
- Customizable dashboards
- 90%9.0
- Report Formatting Templates
- 70%7.0
- Drill-down analysis
- 90%9.0
- Formatting capabilities
- 60%6.0
- Integration with R or other statistical packages
- N/AN/A
- Report sharing and collaboration
- 70%7.0
- Publish to Web
- 90%9.0
- Publish to PDF
- 70%7.0
- Report Versioning
- 60%6.0
- Report Delivery Scheduling
- 80%8.0
- Pre-built visualization formats (heatmaps, scatter plots etc.)
- 90%9.0
- Location Analytics / Geographic Visualization
- 50%5.0
- Predictive Analytics
- 60%6.0
- Multi-User Support (named login)
- 90%9.0
- Role-Based Security Model
- 80%8.0
- Multiple Access Permission Levels (Create, Read, Delete)
- N/AN/A
- Responsive Design for Web Access
- 60%6.0
- Dashboard / Report / Visualization Interactivity on Mobile
- 50%5.0
Choosing the Right BI Reporting Platform
- Fast - everything is in memory so it moves away from the traditional logistics of reading data from disc.
- Interface is fast to develop. Once a thoughtful data model is setup. The frontend development is fast and allows a RAD environment.
- The server itself is easy to maintain. Maintenance is low and does not need a typical "sys admin" to manage this reporting server
- Visualization - Graphically beautiful and provides that "bells and whistle" factor
- The relationship of how data models are put together in QlikView - it requires good level of technical understanding how models are put together. If they had an ERD like framework when opening up an existing dashboard it would be helpful.
- The licensing model QlikView employs financially does not make sense for growing small companies.
- The support of AJAX technology is not up to par with its predecessor, IE plugin. They could do much better job implementing the same features in IE plugin over to AJAX users. The migration will be much simpler since AJAX will be the standard under Qlikview's new future versions.
Also the speed of QlikView is much faster. The amount of data I'm dealing with is close to 100M records. We have one dashboard as large as 2GB fully compressed and is very fast in pulling detailed information.
Choosing a BI reporting platform is a huge decision and will affect the future reporting capabilities of the company. A company rarely sets on one tool and then migrates to another tool. Its a huge effort to do this. With that in mind, getting more companies to choose Qlikview with a low price point will allow the entire Qlikview community to grow as a whole.
- Pixel Perfect reports
- 90%9.0
- Customizable dashboards
- 100%10.0
- Report Formatting Templates
- 80%8.0
- Drill-down analysis
- 100%10.0
- Formatting capabilities
- 90%9.0
- Integration with R or other statistical packages
- 70%7.0
- Report sharing and collaboration
- 100%10.0
- Publish to Web
- 100%10.0
- Publish to PDF
- 100%10.0
- Report Delivery Scheduling
- 100%10.0
- Pre-built visualization formats (heatmaps, scatter plots etc.)
- 80%8.0
- Location Analytics / Geographic Visualization
- 80%8.0
- Multi-User Support (named login)
- 100%10.0
- Role-Based Security Model
- 70%7.0
- Multiple Access Permission Levels (Create, Read, Delete)
- 30%3.0
- Responsive Design for Web Access
- 100%10.0
- Dashboard / Report / Visualization Interactivity on Mobile
- 90%9.0
- Vendor implemented
- Professional services company
QlikView - Jive Analytics
- Extremely fast data visualization. We can go from a high level view to the most granular detail in seconds.
- Associative search -- there are no pre-defined drill paths. You can visually explore the data and go anywhere you want. You do not have to drill down...and then back up. It makes the data exploration much easier.
- Very strong data loading capabilities.
- QlikView is really a platform that you can extend. You can incorporate it into web pages, integrate it with the R open source engine, build custom extensions, etc.
- QlikView has a "green, white, grey" color scheme. Green is what I selected, white is what is included in that data set, and grey is what is excluded. It is a powerful visualization tool that can show you what is included as well as what is excluded. For data junkies, it is an excellent tool.
- If you are looking to analyze real-time data, QlikView is probably not the right tool for you. It uses static pre-loaded data, rather than live data from an external data source.
- We can literally do in a few minutes what it would have taken us hours or days to do in the prior Business Objects tool. We can quickly get to detailed information to see what is happening in our community, who the power users are, what they are doing, activity trends, etc. We then use these insights to determine any changes we want to make in our user adoption strategies.
- Our primary use is analyzing millions of rows of social collaboration activity.
- Implemented in-house
- Professional services company
- Self-taught
- Jive Software
- We likely will integrate with Active Directory and Google Analytics in the future.
Incredibly fast in-memory model.
- Self-service
- In-memory performance
- Associative model
- Their UI from a development perspective, for developing dashboards.
- A lot of the components that you can place on a dashboard, i.e. filters, sliders etc. are handy
- You can spit out to Excel, PDF.
- Out of the box, the governance and meta data management is not great. You can buy another product for that. Out of the box, you can get yourself in trouble. We have solved for that through business process and workflow.
- They are still a bit tied too Microsoft tools like Internet Explorer. Working on Firefox, Chrome, Safari is not the same experience. We would really like them adapt. For example, when viewing a line graph with multiple points on graph, if you zoom over a point, it will light up the bubble in IE, but we cannot get it to work the same way in other browsers.
- Performance tuning explain plans don’t exist.
- Our ability to do custom Ajax development – we would like to put in a widget, where we can do an uptime call and have nothing else change. No documentation etc.
- Documentation is ok.
- Speed to market is the really big thing. You can attach to multiple data sources quickly and build a consumable model for a dashboard. It doesn’t require IT talent to build. We have built more dashboards and added more users in the last year, then in our entire history. I was at a company of 30k+ employees before, and we didn't have near this level of BI adoption.
- As a result, we are seeing benefits across business function. For example, within sales, our pipeline has much more visibility. It allows for much faster decisions on things like quotas. One of our biggest power users is in sales ops. She feels her dashboards load 10x faster than our previous tool and she can make changes on the fly.
- Data visualization/ reporting for multiple aspects of our operations including sales, marketing, service, procurement, finance and IT.
- Vendor implemented
- In-person training
- Self-taught
- Various databases/ data containers including Oracle, SQL Server, Cassandra (which we use for time series event data, monitoring). We do not integrate directly to operational systems, e.g. for finance, CRM, but push data from those enterprise apps into a data layer, so that we're not taxing those operational systems with queries. We have also built a star schema data mart for the cloud.