Tableau vs. QlikView: Difference Between the Two Data Visualization Giants

Both are popular BI tools and equipped with a wide range of visualizations. However, you need to compare these two to choose a suitable tool for your firm. Get a detailed comparative analysis of the two in this blog!

Tableau vs. QlikView: Difference Between the Two Data Visualization Giants
30th Sep, 2019
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Gone are the days when single dimensional and static graphs and charts were used to demonstrate statistics. Businesses need more visually appealing, interactive, and agile tools that fit into the real-time requirements.
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Two of such cutting-edge BI visualization tools are Tableau and QlikView, competing in this domain and providing a diverse spectrum of features. In this blog, we will be doing a comparative study between the two.  If you wish to master QlikView  or Tableau then Intellipaat has curated courses on both QlikView training and Tableau training.

Without further ado, let’s get started!

A Quick Glance over the Basic Differences

Though a lot of similarities exist between Tableau and QlikView, these two tools are considerably different in many ways. Let’s see how through the below table:

Basis of DifferenceTableauQlikView
PerformanceWhen it comes to performance, Tableau uses the cubing technique which gives out results slower than QlikView.Comparatively, QlikView is faster in this case. QlikView can effortlessly combine all sizes of datasets.
InterfaceTableau comes with a simple drag-and-drop interface which is easy, clean, and interactive.The interface of QlikView has too many tools on its menu which are rarely used, but they certainly provide a wide range of ways in which the data can be showcased.
CapabilitiesReal-time visualizationStrong visualizations with BI reporting
Suitable forDashboarding and rapid visualizationsDepartmental and enterprise-wide BI solution
Product rangeDiverse products for varied useSingle product for the entire BI solution
Gauge charts and 3D graphsTableau does not support gauge charts and 3D graphsIn QlikView, gauge charts are available and it also has 3D graphs to showcase data.
Geographical mapsIn Tableau, it is easy to build map visualization. It has an inbuilt extension to perform map visualization.In QlikView, building map visualization takes longer, than in Tableau, since it needs scripting and external extension for this.
TablesWeaker in tablesVery good for tables
SpeedSpeed depends on RAM and the source databaseSpeed depends on RAM
Graphical inputs and changesWith easy drag and drop, graphical inputs become easy too.In QlikView, it is needed to write the logic for the areas where graphical changes are required.

Even though these tools have their own pros and cons, yet both Tableau and QlikView are recognized in the Leaders quadrant of Gartner’s Magic Quadrant among BI tools in the last year, as we can see in the below image:

Tableau vs Qlikview

Quite obviously, these two tools are bound to have some similar features since they are both data visualization tools. Before going deep into the differences between the two, let’s have a look at the similar features both these tools have.

  • Tableau and QlikView have a broad set of visualization and storytelling features.
  • Both provide high-end analytical abilities.
  • They are mobile compatible and support similar operating systems.
  • Tableau and QlikView can be deployed on-premise as well as in the cloud.

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Now that we are aware of the basic differences and similarities, let’s dive right into the working of these two tools and understand the differences in terms of their features.

Key Differences Between Tableau and QlikView in Detail

In this section, we will look at some of the key differences between Tableau and QlikView.

1. Data Visualization

Tableau is one of the leading data visualization tools in the industry. Today, businesses are investing more in data segmentation, clustering, and more powerful analytics functions. It provides a user-friendly interface which allows even non-technical users to easily and quickly create customized dashboards that will provide meaningful insights into a broad spectrum of business information.

Data visualisation

QlikView, on the other hand, comes up with standard report creation features, along with visualization templates, configurable graphics, and customizable views which help to provide a real-time, interactive analysis as reports. When QlikView is in use, all the relevant visualizations and datasets are displayed as a quick reference. Qlik’s product provides an in-memory engine which can visualize patterns and produce associative analytics that are not achievable just by using SQL alone. The in-memory engine is capable enough to integrate with various varieties of data sources and creating a unified dashboard which is showing analytics, key performance indicators (KPIs), and metrics of our interest.

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2. Integration: Connectivity with Other Tools, Language, or Database

Tableau can be integrated with a very broad range of data sources like spreadsheets, CSV, SQL databases, MS SQL Server, MySQL, Firebird, Google Analytics, Google BigQuery, Cloudera Hadoop, Hortonworks Hadoop, HP Vertica, Salesforce, Teradata etc. It can even easily connect with R to provide control to the analytical capabilities of the tool.

Integeration

Using QlikView, one can easily connect to the database. It can integrate with EC2, and Redshift, Amazon Vectorwise, Hortonworks Hadoop, Cloudera Hadoop, Impala, HP Vertica, IBM Netezza, MicroStrategy, ParAccel, Salesforce, SAP, SAP HANA, Teradata, MS SQL Server, My SQL, ODBC, and many more. It can also connect with R through API integration. Join Tableau training in London and excel your career!
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3. Deployment

Tableau is easier to deploy as it requires more structured data. It does not have its own data warehouse, so we don’t have to create layers while connecting with the dataset.

Deployment

QlikView is easy to deploy and configure, and it starts producing stunning reports within minutes after its installation. It has its own data warehouse and an additional scripting feature which add more value to it. We can use multiple levels of layers in QlikView deployment. Go through the Tableau Course in New York to get clear understanding about Tableau.

4. Speed

Tableau is highly efficient to create interactive visualizations and reports in a matter of minutes. In Tableau, we can also make the entire process faster because it allows sharing of reports both online and offline.

Speed

QlikView provides fast analysis, delivers the results, and enables decision-making much faster when compared to the traditional methods. If you have any doubts or Queries related to Tableau, get it clarifies from BI Experts on BI Community.

5. Valuable Insight Generation

Tableau provides a storytelling feature which helps us create the presentation using available data points.

insight generation

QlikView provides an associative technology which makes it more powerful and helps us read association between variables very easily. This feature of QlikView also helps businesses understand hidden relationships between data points. Interested in learning Tableau? Click here to learn more in this Tableau Training in Toronto!

6. Mobility

Tableau is available on all devices and can be accessed over the Internet. We can easily use Tableau on our computer, laptop, tablet, or smartphone.

mobility

QlikView is also not dependent on a device; it can also be accessed from anywhere. Want to grab a detailed knowledge on Tableau? Check this Tableau Training in Singapore!

7. Security

Tableau provides a very good security feature which is handled by Tableau Server. Tableau Server provides wide-range of features and deep integration solutions to address all aspects of enterprise security. Tableau helps businesses promote trusted data sources for all users, so the right data is used to make the right decisions quickly, in Tableau.

security

QlikView also provides various security options like QlikView Document, security for Script, Section Access, and user authentication. Using QlikView Desktop, we can have direct access to the QlikView Document which is always governed by Windows NTFS File Security. Access to the web-based QlikView Enterprise Management Console is restricted to only those who are members of a particular local Windows Group.

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Conclusion

To sum it up, the answer to the question, ‘which BI data visualization tool does come on top?’, is rather subjective. It comes down to the personal preference of users as they find out the requirements of their company or their projects. All the points mentioned above in this blog on both the tools, Tableau and QlikView, highlight the potential areas that can be used by the users to evaluate and understand their options and then make an informed decision about which one to use.

Willing to gain proficiency in Business Intelligence? Check out Intellipaat’s Business Intelligence Architect Master’s Course. I hope this blog provides enough information about these two tools to help you identify which one of these best suits you.

That’s all for now. But, if you would like to learn more about Tableau, check this Best Tableau Course. There will be more blogs on some trending technologies, so don’t forget to visit again!

 

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7 thoughts on “Tableau vs. QlikView: Difference Between the Two Data Visualization Giants”

  1. Hi. This is an interesting article. As image resolution is low is there a way that I can download article and images where content is fully readable?
    thanks

  2. Very nice post. According to me Qlikview is better than Tableau because in tableau there is no enterprise reporting, scheduling alerting and notification of time-sensitive information and also Tableau is slower than QlikView when it comes to its in-memory calculations.

  3. Thanks for sharing such a informaive post. I feel Tableau is better because it has a cleaner clutter-free GUI and its easy to use means anyone can use it (regardless of technical or analytical background), but QlikView menus have too many tabs that lack a logical structure and level of complexity may be overwhelming for new users.

  4. I have used both over the past 6 years. Tableau is pretty easy to learn. QV has bit steeper learning curve at first. But in the end I would put my money on QV because it needs less work from backend side (db structure, views etc.) to support more complex calculations. Sure custom SQL can be hit to database but cant be optimized by the DB engine. Tableau is basically visual SQL generator.

    QV is fast. Handy in doing pre-calculations in the load script and very flexible in doing complex stuff when the data has been loaded in. Beats Tableau in the nose in my opinion.

  5. HI,

    Sorry but I cannot understand these 2 points in Tableau’s disadvantages:

    1. Customer groups can’t be created for various sizes which may be dangerous to the business.
    2. There is no project coverage, forecast awareness and an announcement of time-based data.

    Could you please elaborate them a little more?

    Thanks

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