Tableau Desktop is a software designed to create interactive data visualizations from different data sources. It allows the user to create fully automated dashboards from multiple data sources, make them available in a public link, or embed visuals into an existing website.
Market Suggested Retail Price
Distributors / Implementing Organizations
Intellectural Property Type
User Provision Model
Interested private users or organizational teams can contact the manufacturer directly to choose the most suitable license option.
Distributions to Date Status
As of 2019, more than 86,000 organisations were using Tableau Desktop.
- Dashboard creation and automation
- Creation of stories (presentations)
- Collaboration and sharing with team members
- Live and In-memory Data
- Advanced Visualizations (Chart Types, maps, and others)
- Mobile View
Manufacturer Specified Performance Parameters
To create a data culture inside organizations, providing access to fast insights, allowing integration with multiple data sources and ensuring the ability to collaborate securely.
Vetted Performance Status
Tableau Desktop has experienced a rise in sales and customers since 2016. Moreover, it has surpassed one million visualizations in Tableau Desktop Public. It is rated 4.5 out of 5 in the Gartner community, with over 140 reviews.
Complementary Technical Systems
Academic Research and References
Wesley, R., Eldridge, M., Terlecki, P., 2011, An analytic data engine for visualization in tableau, SIGMOD ’11: Proceedings of the 2011 ACM SIGMOD International Conference on Management of data, Pages 1185–1194
Murphy, S., 2013, Data Visualization and Rapid Analytics: Applying Tableau Desktop to Support Library Decision-Making, Journal of Web Librarianship, pages 465-476
Heer, J., Mackinlay, J., Stolte, C., Agrawala, M., 2008, Graphical Histories for Visualization: Supporting Analysis, Communication, and Evaluation, IEEE Transactions on Visualization and Computer Graphics, vol. 14, no. 6, pp. 1189-1196, doi: 10.1109/TVCG.2008.137.
Morton, K., Balazinska, M., Grossman, D., Kosara, R., Mackinlay. J., 2014, Public Data and Visualizations: How are Many Eyes and Tableau Public Used for Collaborative Analytics?, SIGMOD Rec. 43, 17–22.
Nair, L., Shetty, S. & Shetty, S., 2016, Interactive visual analytics on Big Data: Tableau vs D3.js., Journal of e-Learning and Knowledge Society, Italian e-Learning Association
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