Two of the most popular data visualization tools - Tableau and Qlikview-are the most widely used tools when it comes to interpreting complex datasets. An outstanding combination of animated graphics, graphics processing tools, and BI capabilities for interactive analytics, text, and interactive dashboards, both of which have unusual features that make them stand out from each other. Tableau and Qlik have always captured a coveted spot in the Gartner magic quadrant . Let's try to understand how these two tools differ from each other.
Before we get started, it's important to understand that these two are highly regarded tools by professionals and can have pros and cons depending on how the user works with them. For example, Tableau is a good option if the user is looking for a user-friendly and easy-to-use visualization format or a scalable software solution that will be used internally. While QlikView can be a good option in a large organization that may require multi-faceted software to explore different departments.
QlikView: This visualization tool presented by Qlik is a simple and lightweight tool that allows the user to fully manage the business. It allows you to consolidate, search, visualize, and analyze all data sources to get useful information about your business. QlikView is an easy way to quickly get answers to your most important business questions.
One of the most popular tools, it also ranks high in terms of customer loyalty, performance, performance, and quality. It offers an integrated BI platform along with very insightful demos, tutorials, and manuals, helping users easily familiarize themselves with the tool in no time. It comes with several components, such as QlikView SERVER (QVS), QlikView Publisher (QVP).
1. Deployment and Configuration: This quick deployment and configuration tool starts creating amazing reports within minutes of installation.
2. Convenience and functionality:
a. Easy to learn and requires no programming to create simple panels.
b. It is very user-oriented and because it has a lot of visualization features-it gives users quick access to the content of the data.
3. Accessibility: Qlikview is device-independent and can be easily accessed from anywhere.
4. Connectivity to other tools: It integrates with a very wide range of data sources, such as 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 others. It can also connect to R via API integration and with big data.
5. Community Involvement: He is actively engaged with the community and resources that can help in learning about this software.
6. Speed: Fast analysis provides fast results and allows you to make decisions much faster than traditional methods.
7. Search Parameters: Its associative technology simplifies data modeling. Just type any word in any order in the search box and it will show the connections and relationships between the data.
8. Cost calculation: It is cheaper compared to Tableau. It is also free for personal use, which allows the user to access the tool without buying it, for example, in the case of small organizations.
9. Data Storage: It is equipped with efficient data storage (QVD formats) and has the ability to perform data storage.
1. The free license comes with a document exchange restriction.
2. Its structure can be overwhelming with many tabs, making it difficult to manage and understand the tool in the first place.
3. It has some additional features that are not available without extensions.
4. It takes time to set up, unlike Tableau.
Tableau: this is a tool for quick analysis and visualization, has been the market leader for quite a long time. The visualization capabilities of Tableau are very diverse and very interesting, which gives you an advantage over others. Features such as word clouds, bubble maps, and tree maps improve understanding and provide various options for displaying information. The company claims that more than 54,000 customer accounts get fast results with Tableau. It has several components such as Gateway / load balancer, application server, Repository, VISQL server, Data engine, backgrounder, data server.
1. Deployment: this easily deployable and customizable tool starts creating stunning reports within minutes of installation.
2. Usability and functionality:
a. It requires no coding at all, and the entire interface is based on drag and drop, making the tool easy to use and can be used effectively by those with little technical knowledge.
b. Its interface is simple, not filled with too many features on a single page.
c. It comes with the ability to combine data sets and real-time collaboration, making it a very desirable business intelligence technology.
d. Tableau is rich in data visualization capabilities and provides interactive reports and recommendations.
3. Communication with other tools:
a. Using Tableau, you can easily connect to the database, reducing the user's time and effort.
b. It can integrate with spreadsheets, CSV databases, SQL, Cloudera Hadoop, Firebird, Google Analytics, Google BigQuery, Hortonworks Hadoop, HP Vertica, MS SQL Server, MySQL, Salesforce, Teradata, etc.
c. It can communicate with R.
4. Accessibility: Available on all devices and accessible via the internet.
5. Community Involvement: It actively engages the community and resources to help you learn more about this software.
a. Tableau can create interactive visualizations and reports in minutes, making it a very fast tool.
b. It also speeds up the whole process, as it allows you to publish reports both online and offline.
7. Cost Calculation: Private versions come with a price range from $ 999 to $ 1,999 depending on data access.
8. Multidimensional mapping:
a. Tableau is very effective when creating multi-dimensional maps using the built-in Geo-coding feature.
b. It's much easier to create geo-spatial dashboards.
9. Security: Tableau controls access to information through various security measures.
1. Although it can integrate with many data sources, the list is shorter than that of QlikView.
2. The data export process is quite lengthy.
3. It does not provide a content search function across all your data.
To summarize Tableau vs QlikView bestows their own unique flavors to the users. While both Tableau and QlikView are utilized extensively for data visualizations their specific differences set them apart from each other. But Tableau has it preference that it has mastered the art of using diverse graphical interfaces and hence compared to QlikView Tableau is more preferred if there are Geographical Maps, TreeMaps, and Overlaps in your visualizations.
Mobile Reality is alliance partner of visual analytics platform Tableau Software.
It allows our customers and partners to analyse their data more effectively by visualising it quickly and easily, identifying new business insights and opportunities.