Tableau vs Qlik: Comparing Data Visualization tools Tableau and QlikView
Two of the most popular data visualization tools, Tableau and Qlikview are easily the most widely used tools when it comes to interpreting complicated data sets. An outstanding combination of animated charts, graphic manipulation tools, BI capabilities for interactive analytics, text and interactive dashboard, both of them present extraordinary features, making them stand out of others. Tableau and Qlik have always grabbed a coveted spot at the Gartner’s Magic Quadrant. Let’s try to understand how these two tools are different from each other. Before we begin, it is important to understand that these two are highly ranked tools by professionals and may have pros and cons depending on the kind of work that the user is looking for. For instance, Tableau is a good option if a user is looking for an easy, user friendly visualization format or a scalable software solution to be used within an organization. Whereas QlikView could be a good option in a large organization which may require multifaceted software to look into different departments. QlikView: This visualization tool brought to you by Qlik, is a simple and easy tool that lets the user put business in total control. It lets you consolidate, search, visualize and analyze all the data sources for fetching useful business insights. QlikView is an easy way to get answers to the most critical business questions in quick time. One of the highest used tools, it also ranks high in terms of customer loyalty, performance, features and quality. It offers integrated BI platform along with highly insightful demos, training manuals and tutorials, helping the users to get easily acquainted with the tool in no time. It comes with several components such as QlikView SERVER (QVS), QlikView Publisher (QVP). Pros 1.Deployment and Configuration- This easily deployable and configurable tool starts producing stunning reports within minutes of installation. 2.Usability and functionality- It is easy to learn and does not require coding for creating simple dashboards. It is highly user centric as it comes loaded with lot of visualization features that gives quick meaningful insights to the users. 3.Accessibility- Qlikview is not dependent on device, and can be easily accessed from anywhere. 4.Connectivity with other tools- It integrates with a very broad range of data sources like Amazon Vectorwise, EC2, and Redshift, Cloudera Hadoop and Impala, Hortonworks Hadoop, HP Vertica, IBM Netezza, MicroStrategy, MS SQL Server, My SQL, ODBC, Par Accel, Salesforce, SAP, SAP Hana, Teradata, and many more. It can also connect with R using API integration and with Big Data. 5.Community engagement- It has actively engaged community and resources that can to help in learning about this software in best possible manner. 6.Speed- It’s fast analysis delivers the result quickly and it enables a decision making that is much faster compared to traditional methods. 7.Search options- Its associative technology makes data modeling easier. Just type any word in any order into search box, and it will show connections and relationships across the data. 8.Costing- It costs lower compared to tableau. See the complete pricing here. It also comes with a free personal edition, letting a user to access the tool without buying it, such as in case of small organizations. 9.Data storage- It comes with efficient data storage (QVD formats) and has capability to perform data warehousing. Cons Free personal edition comes with limitation of document sharing. Its structure can be overwhelming with lots of tabs making it difficult to manage and understand the tool in first go. It has some extra features that is not used to its full propensity. It has a time-demanding setup unlike tableau Tableau: This quick to analyze and visualize tool, has been a market leader for quite a long time. The visualization capabilities of Tableau are quite diverse and highly insightful, giving it an edge over others. Features such as word clouds, bubble maps, tree maps enhance comprehension and gives various options to display information. The company states that more than 54,000 customer accounts have been getting rapid results with Tableau in the office and on-the-go. It has several components such as Gateway/load balancer, application server, repository, VISQL server, data engine, backgrounder, data server. Pros 1.Deployment- It is easier to deploy as it requires more structured data. 2.Usability and functionality- It does not require coding at all and the entire interface is based on drag and drop making the tool easy to use and may be effectively used by those with little technical expertise. Its interface is simple, not filled with too many features at one page. It comes with an ability to blend data sets and collaborate in real-time making it a highly desirable business intelligence technology. Tableau is rich in data visualization capabilities and presents highly interactive reports and recommendations. 3.Connectivity with other tools- Using tableau one can easily connect to the database, reducing time and effort of the user. It can integrate with spreadsheets, CSV, SQL databases, Cloudera Hadoop, Firebird, Google Analytics, Google BigQuery, Hortonworks Hadoop, HP Vertica, MS SQL Server, MySQL, Salesforce, Teradata etc. It can connect with R that powers the analytical capabilities of the tool. 4.Accessibility- It is available on all devices and can be accessed over internet. 5.Community engagement- It has actively engaged community and resources to help you learn this software in the best possible manner. 6.Speed- Tableau can create interactive visualizations and reports in a matter of minutes, making it a very fast tool. It also makes the entire process faster as it allows sharing of reports both online and offline. 7.Costing- Private versions come with price range of $999 to $1,999 depending on data access. 8.Multi-dimensional mapping- Tableau is very efficient in creating multi-dimensional maps with the help of its in-built geo-coding feature. It is a lot easier to create geospatial dashboards with Tableau. 9.Security- Tableau exercise control over the access of information with the help of various security measures. Cons Though it can integrate with many data sources, the list is shorter than that of QlikView. The process of pulling out data is quite long. It can be slower than QlikView in finding out its memory statistics. It does not provide feature to search content across all your data.
Two of the most popular data visualization tools, Tableau and Qlikview are easily the most widely used tools when it comes to interpreting complicated data sets. An outstanding combination of animated charts, graphic manipulation tools, BI capabilities for interactive analytics, text and interactive dashboard, both of them present extraordinary features, making them stand out of […]
Tableau and Qlik have always grabbed a coveted spot at the Gartner’s Magic Quadrant. Let’s try to understand how these two tools are different
["data visualization tools", "Visualize Spatial Data"]
["big data", "Go", "API", "AI", "data visualization tools", "Scala", "RAG", "Visualize Spatial Data", "analytics", "SQL", "GAN", "R"]
["AI", "analytics", "RAG", "R", "SQL", "Go", "Scala", "API", "big data", "GAN"]
Srishti currently works as Associate Editor at Analytics India Magazine. When not covering the analytics news, editing and writing articles, she could be found reading or capturing thoughts into pictures.