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Tableau vs Qlikview – Difference Between 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 in this blog!

Tableau vs Qlikview – Difference Between Data Visualization Giants
 22nd May, 2019
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Gone are the days when the single dimensional and static graphs and charts were used to demonstrate the statistics. Businesses need more visually appealing, interactive and agile tools that fit into the real-time requirements.

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 these two.

So without any 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 –

Basis of Difference Tableau QlikView
Performance When it comes to the performance, Tableau uses cubing technique which gives out the results slower than Qlikview. Comparatively, Qlikview is faster than tableau. QlikView can effortlessly combine all sizes of data sets.
Interface Tableau comes with a simple drag and drop interface which is easy, clean and interactive. The interface of Qlikview has too many items and tools on its menu which are rarely used but they certainly provide a wide range of ways in which the data can be showcased.
Capabilities Real-time visualization Strong visualizations with BI reporting
Suitable for Dashboarding and Rapid visualization Departmental and enterprise-wide BI solution
Product range Diverse products for varied use Single product for entire BI solution
Gauge charts and 3D graphs Tableau does not support gauge charts and 3D graphs In QlikView, gauge charts are available for you to use. QlikView also has 3D graph forms to showcase data.
Geographical Maps In Tableau, you can easily build map visualization. It has an inbuilt extension to perform map visualization. In QlikView, building map visualization takes longer time than tableau since it needs scripting and external extension for this.
Tables Weaker in tables Very good for tables
Speed Speed depends on RAM and source database Speed depends on RAM
Graphical inputs and changes With easy drag and drop, graphical inputs become easy too. In QlikView, the areas where graphical changes have to be, you will have to write the logic for it.

Even though these tools have their own pros and cons, yet both Tableau and QlikView are recognized as the Leaders quadrant of Gartner’s magic quadrant among BI tools in 2018, as we can see in the below figure:

Tableau vs Qlikview

So, quite obviously these two tools are bound to have some similar features since they are both data visualization tools. So let’s start off by getting similar features in both these tools out of the way before we discuss the differences in detail.

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

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

Key differences between Tableau and Qlikview in detail

Now, we will look at some of the key differences between Tableau vs QlikView

1. Data Visualization

Tableau is one leading data visualization tool in the industry. Today businesses are investing more in data federated, 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 which will provide meaningful insight into a broad spectrum of business information.

Data visualisation

And QlikView comes with a standard report creation features along with visualization templates, configurable graphic customizable views which help to provides a real-time, interactive analysis as reports. When QlikView is in use, here all the relevant visualizations and data sets are displayed as a quick reference. Qlik’s product provides an in-memory engine which can visualize patterns and produce associative analytics that isn’t 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.

2. Integration – Connectivity with other Tools,     Language or Database

Tableau can be integrated with a very broad range of data sources like with 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 withEC2, and Redshift, Amazon Vectorwise, Hortonworks Hadoop, Cloudera Hadoop and Impala, HP Vertica, IBM Netezza, MicroStrategy, Par Accel, Salesforce, SAP, SAP Hana, Teradata, MS SQL Server, My SQL, ODBC, and many more. It can also connect with R through API integration.

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 data set.

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 additional scripting feature which adds more value to it. We can use multiple levels of the layer in QlikView deployment.

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 the sharing of reports both online and offline.

Speed

QlikView provides the fast analysis delivers of the result and enables a decision making much faster when compared to the traditional methods.

5. Valuable Insight Generation

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

insight generation

QlikView provides associative technology which makes it more powerful and helps us to read association between variables very easily. This feature of QlikView also helps businesses to understand hidden relations between data points.

6. Mobility

Tableau is available on all devices and can be accessed over internet. We can easily use Tableau on our Computer, laptop, tablet or phone.

mobility

QlikView is also not dependent on a device, it can also be accessed from anywhere.

7. Security

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

security

QlikView also provides various security options like 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. And Access to the web-based QlikView Enterprise Management Console is restricted to only those members who are a member of a particular local Windows Group.

Conclusion

To sum it all up, the answer to the question “which BI data visualization tool comes out on top“, is rather subjective. It comes down to the personal preference of the users when they factor in the requirements of their company or their projects. All the points mentioned above in the blog about both the tools 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.

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I hope this blog provides you with enough information about these two tools to help you identify which one of these two tools suit you better.

That would be all for this blog, But if you would like to learn more about Tableau HERE is an informational video by Intellipaat.

There will be more blogs on some trending technologies, so don’t forget to visit again!

 

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