Tableau vs Qlikview is the most common and important topic that is always searched on the internet. So, what do both tools do? Well, Tableau and Qlikview are competing tools used by various companies and organizations in BI (Business Intelligence) solutions.
Both the tools are used because they:
- Emphasize data analytics and range of visualization.
- Encourage that both products are simplistic and easy to use.
- Have numerous big-name clients.
- Offer various backing and support with various active user communities.
- Capable of integrating data from several data sources.
Both have their own features; that is why below, we have listed all the necessary details about Tableau vs Qlikview. This helps you to understand which tool you should go with. So, let’s dive into the details and check what both have to offer.
Where can you use Tableau and Qlikview?
In this way, Both are famous BI instruments and outfitted with a wide scope of perceptions. Be that you have to contrast these two with picking a reasonable instrument for your firm as it may. Get point-by-point relative details of the two in this blog.
Gone are the days when single-dimensional and static diagrams and outlines were utilized to exhibit measurements. Organizations need all the more outwardly engaging, intuitive, and coordinated instruments that fit into the ongoing necessities.
Two of such forefront BI perception devices are, contending in this area. And giving an assorted range of highlights. This blog will do a near report between the two if you wish to ace QlikView or Tableau.
Qlikview vs Tableau Architecture Difference
|Tableau Architecture||Qlikview Architecture|
Tableau Vs Qlikview comparison of both tools features
|Dashboard and Data Visualizations||Available (Advantage)||Available|
|Data Querying||Available (Advantage)||Available|
|Natural Language Processing||Available||Unavailable|
|Data Connectivity||Available (Advantage)||Available|
|Geospatial Analytics||Available (Advantage)||Available|
|Native Mobile App|
|Free Trial||Available (14-Days)||Available (30-Days)|
Tableau vs Qlikview: Business Factors
|Scalability||Because of the good scalability, it can handle large data easily.||It also handles large data. However, It needs RAM to scale the system for all new necessities.|
|MindShare||It can be integrated into Mindshare with the help of the Tableau public.||It can not be integrated into Mindshare.|
|Server License||It is accessible as a core-based license and a user-license.||The personal edition is free to use.|
|Viability||It is viable as is the adaptability and new features.||It can easily handle big data & gives accurate data visualization.|
|Partner Network||Its partner network is below average networks.||Qlikview has a large partner network (i.e., 1000+ partners).|
|SaaS Platform||Its SaaS platform combines easily with Google Cloud, Amazon Web Services, and Microsoft Azure.||It is excellent business vendors in terms of BI that gives both on-premise and cloud-based services.|
|Big data Support||It integrates with big data platforms, such as NoSQL, Hadoop, Apache Spark SQL, Google BigQuer, Amazon Redshift, Splunk, and many more are installed to get the big data.||Qlikview easily integrates with various big data platforms, such as NoSQL, Microsoft SQL Server, Hadoop, and new platforms, such as Google BigQuery, Amazon Redshift, and many more.|
|Overall cost||The bills depend on requirements of customers. Hence pricing is not openly given.||The personal version is available at zero cost.|
Tableau vs QlikView: Technical Standards
|Development||Development is more useful on Tableau Pro.||The development is more useful on Qlikview Developer.|
|Integration with GIS||It is the best fitted for integration with GIS.||Its performance with GIS is average.|
|Analytics||The analytics are below average.||The analytics have lower analytics.|
|PowerPivot Support||It supports PowerPivot.||It does not support it.|
|Data mining||Data mining is supported to a limited extent.||It does not support it.|
|Data integration||Data Integration is much better with various data sources that are being supported.||Data integration is quite good.|
|Modeling||It offers below-average modeling.||It is below average in modeling.|
|Xvelocity support||It supports Xvelocity.||It does not support Xvelocity.|
|Application Programming Interface||Its API integration is not good.||It supports limited API.|
Detailed comparison among Tableau and Qlikview
Obviously, these two apparatuses will undoubtedly have some comparative highlights since they are the two information representation instruments. Prior to diving deep into the contrasts between the two, how about we view the comparative highlights both these devices have.
Both have a broad set of visualization capabilities and storytelling features. And that is what we will be talking about now. So, here are some of the comparisons:-
Both are mobile compatible and support similar operating systems. Tableau and QlikView can be deployed on-premise as well as in the cloud.
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.
And not it’s time for us to talk about some differences between these, and the differences between Tableau vs Qlikview are as follows:-
In this section, we will look at some of the key differences between Tableau and QlikView.
1. Data Visualization
The scene is one of the main information perception devices in the business. Today, organizations are putting more in information division, grouping, and all the more impressive examination capacities.
It gives an easy-to-use and user-friendly interface that permits even non-specialized clients to effectively and rapidly make tweaked dashboards. This will give significant experiences into an expansive business data range.
QlikView, then again, thinks of standard report creation highlights, alongside perception layouts, configurable illustrations, and adjustable perspectives, which help to give an ongoing, intelligent examination as reports.
When QlikView is being used, all the pertinent perceptions and datasets are shown as a brisk reference. Qlik’s item gives an in-memory motor, which can imagine examples and produce acquainted examinations that are not reachable just by utilizing SQL alone.
The in-memory motor is sufficiently fit to incorporate with different assortments of information sources. And make a bound together dashboard which is demonstrating investigation, key execution markers (KPIs), and measurements of our advantage.
2. Integration: Connectivity with Other Tools, Language, or Database
Tableau have ability to get integration 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.
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.
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.
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 that adds more value to it.
Tableau is highly efficient in creating 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.
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 clarified from BI Experts on BI Community.
5. Valuable Insight Generation
Tableau provides a storytelling feature that helps us create the presentation using available data points.
QlikView provides an associative technology which makes it more powerful and helps us read associations between variables very easily. This feature of QlikView also helps businesses understand hidden relationships between data points.
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.
QlikView is also not dependent on a device; it can also be accessed from anywhere.
Tableau provides a very good security feature that Tableau Server handles. Tableau Server provides a wide range of features, advantages, and deep business intelligence solutions to address all aspects of enterprise security.
It helps businesses promote trusted data sources for all users, so the right data is used to make the right decisions quickly, in Tableau.
QlikView also provides various security options like QlikView Document, security for Script, Section Access, and user authentication. Using QlikView Desktop, we can directly access the QlikView Document, which Windows NTFS File Security always governs.
Access to the web-based QlikView Enterprise Management Console is restricted to only those who are members of a particular local Windows Group.
Some other difference between Tableau vs Qlikview
- QlikView is a dashboard application that gives all-encompassing and different highlights, while Tableau is increasingly centered around the visual examination.
- The element rich QlikView is frequently esteemed as hard, to begin with at first contrasted with Tableau, which is learner well disposed.
- The scene gives a cleaner interface that adds up to a somewhat better client experience rather than QlikView, whose interface is messier. So as to contend with Tableau, QlikView discharged “QlikSense,” which is a much neater information perception device.
- QlikView gives better execution in light of its licensed “Acquainted Technology,” which considers in-memory preparation of the table and simultaneously evades OLAP Cubing’s utilization.
- The scene has aced the specialty of utilizing various graphical interfaces and thus contrasted with QlikView. Tableau is progressively liked if there are Geographical Maps, TreeMaps, and Overlaps in your representations.
- Despite the fact that Tableau has points of interest in being easier to understand and has better representation abilities, it misses the mark with regards to sectioning reports dependent on explicit business measures.
While Tableau comes up short on an element to give a business-wise view, QlikView has incredible highlights to produce undeniable venture scale announcements.
- Another fascinating element of Tableau is the consistent offer capacity of the reports over Tableau Online or Tableau Server. While QlikView doesn’t have these highlights on a similar scale, it offers a tight combination with Social Media stages and versatile innovation.
A quick overview of both tools differences
|Interface||Tableau offers a drag-and-drop interface that is clean, easy, and interactive.||QlikView interface has various tools on the menu that are not used much, but they offer various ways to display the data.|
|Suitable for||Rapid visualizations and Dashboards.||Departmental and BI solution.|
|3D graphs and Gauge charts||Tableau does not support 3D graphs and Gauge charts.||In QlikView, graphs and Gauge charts are accessible to showcase data.|
|Performance||Tableau practices the cubing method, which provides results much slower than QlikView.||It is comparatively faster in this case as it can combine all datasets sizes.|
|Geographical maps||Tableau offers easy to create map visualization. Moreover, it has a built-in extension to show map visualization.||The building map visualization function of Qlikview takes a longer time as it requires external extension and scripting for this.|
|Data mining||It supports a limited level for data mining.||It does not support data mining.|
|Analyst Desktop||Tableau Pro supports Analyst Desktop.||Qlikview Desktop really fits well for this.|
Which tool should you go with between Tableau and Qlikview?
In the above section, we have detailed all necessary differences and similarities among Tableau vs Qlikview. And you can easily understand that both systems have their own positive and negative points.
But, if you still have any doubt about which tool should you go with? Let me help you by summarizing some key details about both tools.
Go with Tableau if you:
- Need drag-drop visualization formats, an easy, user-friendly tool.
- Look for scalable software that can provide solutions to get utilized in your company.
- Require tools that can easily provide the best data visualization.
Go with Qlikview if you:
- Search for a tool that offers a variety of various business intelligence tools, such as OEM versions.
- Part of the company that easily accesses various tools within the distinct departments.
- Working with large data sets and requiring multifaceted and powerful tools.
We think that it comes down to personal preferences and depends on what you like and what you want, and what tools you like the most in both BI Data Visualization Tools.
As we just said that It comes down to users’ personal preference as they find out the requirements of their company or their projects.
All the points in this blog on both the tools, Tableau and QlikView. It also highlights the potential areas that the users can use to evaluate and understand their options. And then make an informed decision about which one to use.
So, this is it, and that was all about our topic for today. Tableau vs Qlikview, and we hope that you have learned something useful from this, and we think that if you have learned something from today’s blog, you should share these with your friends and colleagues. if you need tableau assignment and tableau homework, then contact our experts.
Frequently Asked Questions
Qlikview is one of the BI (business intelligence) tools used to convert raw data into useful knowledge. This BI tool allows the user to visualize the data in a meaningful and creative way.
In Qlikview LOAD statements, the SQL queries once in a while can be used. But it’s working depends on SQL queries.
There is no built-in database in Tableau; instead, it combines various data sources (databases, files, etc.). Tableau easily “extracts” data in the Tableau Data Extract file, which is compressed and designed in a columnar format once its connection to any of the data sources.