Tableau Vs QlikView
Tableau stands as the most powerful and fastest-growing data visualization tool which is being used in the Business Intelligence Industry. Its basic funda is to simplify raw data into a format that can be easily understandable. Data analysis has become very quick with Tableau and the dashboards and worksheets are the forms of visualization that are being created.
The best part is that Tableau is a market-leading BI tool as well as the most trending tool used to visualize and analyze the user’s data in a very easily digestible format.
It also enables the user to work on live data-set and spend quality time on data analysis rather than data wrangling.
When we talk about the most flexible Business Intelligence platform for turning data into knowledge then Qlikview comes into the picture. There are more than 24,000 organizations worldwide have enabled their users to easily consolidate, search, and analyze visually all their data by using QlikView.
List of the top companies using QlikView
The wide scope of this software lies in its simplicity of usage. The creation of dashboards for analytical purposes is done by its reporting tools.
The era of modern analytics truly began with the launch of QlikView. It actually revolutionized the way organizations lets its user create data with the intuitive visual discovery that put business intelligence in the hands of more people than ever.
Enterprise-scale analytics is also being performed with utmost ease and credibility.
A quick view of the difference between Tableau and QlikView
Everybody can analyze information with intuitive products for drag & drop. No programming, only insight. The user can easily create their own perception using various objects and it’s easy to use because of a well designed GUI interface. Tableau offers a storytelling feature that can allow us to create a presentation using data points that are available. It does not provide a feature to search content across all the user’s data
The best quality of Qlikview is it’s easy to use the feature and even exploring the hidden trends.QlikView offers an associative technology that enhances the capacity of the presentation. This feature helps companies understand hidden links between data points. In the case of searching any data, we just need to type the word in the search box resulting in instant and It also shows in-depth connections and relationships across the data. At times it becomes difficult for users to design their own views due to properties that are menu-driven.
Tableau has community and resources which are actively engaged. The drag & drop application even makes it very easy to learn for the end-users.
QlikView also has actively engaged community and resources which ultimately helps the user learn this software in the best possible way.
Tableau: Here are Tableau’s new monthly prices: Tableau Desktop Personal, $35; Tableau Desktop Professional, $ 70; Tableau Server, $35; and Tableau Online, $42. Under the old model, a license, with annual maintenance, costs $999 for Desktop Personal and $1,999 for Desktop Professional. The server starts at $10,000 for 10 people, and Online is $500 per user per year.
Qlikview: The personal edition in Qlikview is absolutely free with a limitation of no feature for document sharing. Per named user license is $1,350 and $15,000 for a concurrent user. Per Server license cost around $35,000. Additionally we require to pay $21,000/server in case of PDF distribution service; $22,500 for SAP NetWeaver connector.Might even require upgradation of RAM if the concurrent users are larger in number.
Tableau is one of the industry’s leading instruments for data visualization. Today, companies are investing more in information segmentation, clustering, and stronger analysis. It offers a user-friendly interface that enables even non-technical users to generate tailored dashboards rapidly and easily to give significant perspectives in a wide range of company data.
QlikView, on the contrary, offers normal report creation characteristics, visualization templates, configurable graphs, and customized opinions that assist provide an interactive report in real-time. All the visualizations and data sets are shown as a quick reference when QlikView is in use. Qlik’s product provides an in-memory engine that can view patterns and produce associative analytics that alone can not be achieved with SQL. The In-Memory Engine is able to integrate with diverse information source variants and create a unified dashboard that shows analyses, KPIs and metrics of our concern.
Tableau integrates successfully with a wide range of data sources which includes the spreadsheets, CSV, SQL databases, Salesforce, Cloudera Hadoop, Firebird, Google Analytics, Google BigQuery, Hortonworks Hadoop, HP Vertica, MS SQL Server, MySQL, OData, Oracle, Pivotal Greenplum, PostgreSQL, Salesforce, Teradata, and Windows Azure Marketplace. It can also coordinate with sources of Big data as well.
Qlikview also integrates with high range of data sources like Amazon Vectorwise, EC2, and Redshift, Cloudera Hadoop and Impala, CSV, DataStax, Epicor Scala, EMC Green Plum, Hortonworks Hadoop, HP Vertica, IBM DB2, IBM Netezza, Infor Lawson, Informatica Powercenter, MicroStrategy, MS SQL Server, My SQL, ODBC, ParAccel, Sage 500, Salesforce, SAP, SAP Hana, Teradata, and many more. In this case, API integration can be used to connect with R. It can also readily connect with Big data sources.
Since tableau does not have their own data warehouse hence they have to generate layers while connecting with data set. The deployment becomes easier here since it needs more structured data.
QlikView has its own data warehouse with an additional feature of scripting which acts as a feature in the cap leading to the use of multilevel layers in its deployment. QlikView is readily deployable and configurable and starts producing excellent reports immediately after the installation. An additional feature involves enabling interactive queries and creation of reports—a technology which is not found in other products since this product does not use cubes; hence loads all the tables and charts found in the memory. Both 32 and 64 bit can be used for the development. Data modeling becomes easier because of associative technology.
In the case of Tableau the speed varies based on two parameters, first being the RAM and second being the source’s database. Tableau makes it extremely effective to produce in a matter of minutes of interactive views and reports. Tableau can also speed up the entire process since it enables online and offline report sharing.
In Quikview the Speed is dependent on only the source’s RAM.QlikView offers quick assessment, outcomes, and allows for much quicker decision-making in comparison to traditional techniques.
Tableau has an excellent storytelling feature that helps the user to create effective presentations, using the available data sources.
In Qlikview the Associative technology makes it more impressive and it also helps to read association between variables readily. This unique feature sometimes even benefits businesses to understand the hidden relation between the data points.
Tableau is readily available on all devices and can be accessed via the internet. We can even use it on our laptop, tablet or smartphones as well.
QlikView is independent of any device thus we can easily access it from anywhere hence decision making becomes much prompt and quicker as compared to the traditional methods of data visualization.
Tableau provides excellent security features and it is highly handled by Tableau server. It is indeed a modern enterprise analytics platform that enables the users to avail the self-service analytics at scale with proper governance. Security is the first and foremost critical part of a data and content governance strategy. It’s server actually provides comprehensive features along with deep integration to address all the aspects of enterprise security present. Tableau also renders the organizations in promoting trusted data sources for all users, so the right data is used to make the right decisions within seconds.
When compared with Qlikview, Tableau generates the output slower since it uses the cubing technique for data visualization. QlikView seamlessly combines all sizes of datasets hence are quicker when compared with Tableau.
QlikView is a lot more scalable than Tableau. The Qlik Sense applications can be easily scaled especially while dealing with big data. But we cannot deny the fact that both the vendors handle a huge amount of data successfully. In Fact, most of the organizations do not produce the amount of data that both these can handle individually.
Tableau has good support for Big data as compared to Qlikview.
Simple drag and drop features are available in Tableau. Qlikview is Complex tools when compared with Tableau.
In brief, the reply to the question:’ Which is the best tool for data visualization? It’s pretty subjective. Users find out the demands of their business or their projects, which is a matter of personal preference. In both Tableau and QlikView, all the points listed above in this blog illustrate the possible regions where consumers can assess and comprehend their possibilities and then decide in an informed fashion which ones to use.
Research & References of Tableau Vs QlikView|A&C Accounting And Tax Services