Overview
What is Tableau Desktop?
Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual…
The gold standard in data visualization
A versatile platform that can make your daily work life easier!
Excellent tool for data visualization with simplicity
Tableau is a life saver for data analysis and visualization professionals,
Tableau Desktop: Best in business
Awesome BI/Reporting Tool
"Tableau Desktop is a powerful visual analytics tool that helps us understand our business."
Give your data a different form
Visual reporting gone right
"Efficient, Aesthetic And AWESOME Visualization Tool."
A powerful Business Intelligence tool for enterprises
A large amount of data analysis can be performed without stress
Tableau is widely used, but needs more support and functionality
Tableau Desktop is an excellent tool for visualizations
Awards
Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards
Popular Features
- Report sharing and collaboration (156)9.393%
- Drill-down analysis (158)9.292%
- Customizable dashboards (165)9.090%
- Formatting capabilities (161)9.090%
Reviewer Pros & Cons
Pricing
Tableau Creator
$70.00
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Starting price (does not include set up fee)
- $70 per month
Product Demos
Tableau Desktop Tutorial | Tableau Desktop Training | Online Tableau Desktop Training - Youtube
- Tableau Demo: Quick Tutorial to Getting Started with Tableau Desktop
Tableau Desktop Naming Conventions Part 1
Tableau Desktop Introduction Part 1
Features
BI Standard Reporting
Standard reporting means pre-built or canned reports available to users without having to create them.
- 8.3Pixel Perfect reports(138) Ratings
Pixel Perfect reports are highly-formatted reports with graphics and ability to preview the report before printing.
- 9Customizable dashboards(165) Ratings
Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.
- 8.3Report Formatting Templates(144) Ratings
Ad-hoc Reporting
Ad-Hoc Reports are reports built by the user to meet highly specific requirements.
- 9.2Drill-down analysis(158) Ratings
Drill down analysis is the ability to get to a further level of detail by going deeper into the hierarchy.
- 9Formatting capabilities(161) Ratings
Ability to format output e.g. conditional formatting, lines, headers, footers.
- 8.3Integration with R or other statistical packages(121) Ratings
Integration with the open-source R predictive modeling environment.
- 9.3Report sharing and collaboration(156) Ratings
Report sharing and collaboration is the ability to easily share reports with others.
Report Output and Scheduling
Ability to schedule and manager report output.
- 9.3Publish to Web(148) Ratings
- 8.4Publish to PDF(148) Ratings
- 8.7Report Versioning(115) Ratings
Report versioning is the assignment of version numbers to each version of a report to help in tracking.
- 9.2Report Delivery Scheduling(122) Ratings
Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.
- 8.5Delivery to Remote Servers(72) Ratings
Ability to deliver reports to remote servers
Data Discovery and Visualization
Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.
- 8.9Pre-built visualization formats (heatmaps, scatter plots etc.)(153) Ratings
Pre-built visualization formats are canned visualization types that can be selected to visualize different kinds of data.
- 8.8Location Analytics / Geographic Visualization(148) Ratings
Location analytics is the visualization of geographical or spatial data.
- 8.7Predictive Analytics(125) Ratings
Predictive Analytics is the ability to build forecasting models based on existing data sets.
- 8Pattern Recognition and Data Mining(2) Ratings
Pattern recognition and data mining mean the ability to recognize hidden patterns in large quantities of data.
Access Control and Security
Access control means being able to determine who has access to which data.
- 8.8Multi-User Support (named login)(138) Ratings
Named model access means that users have access based on name and password.
- 8.4Role-Based Security Model(118) Ratings
Role-based access means that access to data is determined by job or position in the corporation.
- 8.7Multiple Access Permission Levels (Create, Read, Delete)(128) Ratings
Multiple access permission levels means that different levels of users have different rights.
- 9Report-Level Access Control(2) Ratings
Report-level access control means that the type of report determines who has access to it.
- 8.9Single Sign-On (SSO)(76) Ratings
Allows users to use one set of login credentials to access multiple applications
Mobile Capabilities
Support for mobile devices like smartphones and tablets.
- 8.6Responsive Design for Web Access(123) Ratings
Web design aimed at producing easy-to-read sites across a range of different devices.
- 8.3Mobile Application(96) Ratings
A dedicated app for iOS and/or Android.
- 8.7Dashboard / Report / Visualization Interactivity on Mobile(116) Ratings
In-app dashboard reports and data visualization.
Application Program Interfaces (APIs) / Embedding
APIs are a set of routines, protocols, and tools for used for embedding one application in another
- 8.6REST API(55) Ratings
REST is an architecture style for designing networked applications
- 8.3Javascript API(50) Ratings
A Javascript API is a type of API
- 8.9iFrames(48) Ratings
An iFrame is an HTML document embedded inside another HTML document on a website
- 8.8Java API(45) Ratings
A Java application programming interface (API) is a list of all classes that are part of the Java development kit (JDK)
- 8.5Themeable User Interface (UI)(52) Ratings
A themeable user interface means that a specific visual them can be applied to it
- 8.8Customizable Platform (Open Source)(45) Ratings
A customizable, open source API Gateway is a fast and scalable type of API
Product Details
- About
- Competitors
- Tech Details
- FAQs
What is Tableau Desktop?
Tableau Desktop supports data-driven decisions by helping users to answer questions more quickly, solve harder problems more easily, and uncover new insights.
Tableau Desktop connects directly to hundreds of data sources, both on-premises or in the cloud, with the goal of making it easier to start analyses. Interactive dashboards, drag and drop functionality, and natural language queries help users of all skill levels quickly discover actionable insights, all from its visual interface. Users can ask deeper questions by quickly building calculations, adding trend lines and seeing statistical summaries, or clustering data to see relationships.
Tableau Desktop Video
Tableau Desktop Competitors
Tableau Desktop Technical Details
Deployment Types | On-premise |
---|---|
Operating Systems | Windows, Mac |
Mobile Application | No |
Frequently Asked Questions
Comparisons
Compare with
Reviews and Ratings
(2262)Attribute Ratings
- 8.9Likelihood to Renew39 ratings
- 8Availability10 ratings
- 6.1Performance9 ratings
- 8.6Usability63 ratings
- 6.9Support Rating56 ratings
- 8Online Training4 ratings
- 9.4In-Person Training4 ratings
- 8Implementation Rating34 ratings
- 8.1Configurability2 ratings
- 7Product Scalability3 ratings
- 10Ease of integration1 rating
- 10Vendor pre-sale1 rating
- 10Vendor post-sale1 rating
- 9.2Data Visualization10 ratings
- 7.9Data Sources115 ratings
- 8.4Data Sharing and Collaboration115 ratings
Reviews
(101-125 of 193)- Very easy to come up with the dashboard, you can develop the dashboards in a few minutes.
- Good support to database connections, the best thing is that it supports R.
- It's fast when you use one sheet as a filter for other sheets in the dashboard.
- Median calculation using live data(version 8.0, now it has) - although we found a workaround to get this functionality, it would be good if we had an option to use it directly.
- Editing font and color of text is really complex. The user needs to do it all manually so there should be an option so that you can apply styles in a complete sheet and dashboard at once.
- When you try to work quickly and switch from one sheet to other, it crashes.
- Allows the user to easily access data stored in an Oracle-based database and many other data formats, and it makes this easy connection without needing any interim transformation, catalog or universe to be created. This is a definite strength as other analytical applications require data to be stored in or accessed via an interim format.
- The drag and drop nature of the user interface and the fact that it begins to understand your data is a great feature allowing very rapid creation of analytical visualizations and tabulations.
- The ability to allow the desktop user to quickly and easily push out a series of visualization dashboards to Tableau Server is a great part of its functionality, and allows the visualizations to be more readily used across and organization.
- The biggest area needing improvement is in the area of placement of objects in a dashboard during its design. The placement is sometimes quirky and does not necessarily translate to an optimal placement on the dashboard which has been pushed to Tableau server.
- It would be nice to have the capability to point at a pre-defined style template which would help in creating consistency in terms of default placement of objects and overall look & feel.
- Within the pharmaceutical industry, the ability to seamlessly read in a SAS dataset would be very useful, as currently this involves at least one interim step.
Warming up to Tableau Desktop
- Connection to data sources, and variety of connectors available
- Easy-to-use data blending functionality, once you experiment it a few times
- Makes visual analysis accessible to a wide variety of users
- Publication of dashboards on Tableau Server is a breeze
- Tableau is ill-suited to work with SSAS cubes, at least when you are used to analysis within Microsoft tools
- Data preparation is not up-to-par with other leading vendor tools (although can be improved through Alteryx if you have access to it)
- The ease-of-use is true for basic analysis, but rapidly gives way to a steep learning curve with more complex queries or when the business context is more mathematics oriented
- Helps spot visual patterns correctly.
- Apart from using an Excel you can also connect to your own data set or database to import large amounts of data and use it to drill down and prepare charts.
- The charts and graphs made with Tableau are very interactive with the right information.
- When data is highly granular Tableau must render and precisely place each element.
- Green data fields are continuous and blue data fields are discrete. It is essential to understand what they do previously or else one can get confused. If you do not take Tableau video lessons or read about how the data fields with green or blue fields are different, it would be confusing. Tableau can improve that.
Great product
- Multiple data sets configuration and interpretation.
- Graphing.
- Ease of use.
- Beginning learning curve for staff.
- Can become too complex.
- None other. It's a good product.
Tableau ease
- Easy to learn
- Simple vizualizations
- Interaction with Tableau Server so non-developers can explore with filters
- Easy connections to many different types of data sources
- Automatically updated parameters - when my database encounters a new date field, the parameter should automatically update to include that date
- Easier mapping capabilities so I can more easily connect geo-located items with a polygon
Tableau Desktop - The Easy Button Analytics Tool
- Create visualizations of your data
- Join data sources from various files or servers
- Very easy to use even for beginners and as complex as you want it to be
- Could use more tutorials and advanced tutorials even though they have a great community
- Geocoding maps should and can be a lot easier especially when trying to plot points
- I like the way tableau integrates with different other tools like Alteryx. I have been using both in combination which makes it pretty easy to get the extract ready for use.
- The vizAlerts is a very interesting and useful feature which makes the data available to users through a simple alert.
- Tableau mobile is something new and I look forward to implementing it in my organization.
- I think Tableau data source/extract as an input is not possible in Alteryx. I think this needs to be integrated well with Alteryx which will definitely increase its power.
- Sometimes the loading time is way too much in Tableau. Should do something with it to match up with competitors.
Wonderful Tableau!
- Master filter and sub filters.
- Maps and location view.
- Easy to use dashboards.
- Story.
- Drag and drop.
- Using a common filter for multiple dashboards is needed in many cases but when we use sub-filters for a common filter, it doesn't work well.
- When you change the data source, all the customization gets reset which is not good.
- Aggregation: SQL aggregate functions are come last to the aggregation power of Tableau. There are various formulas for annual growth, retention, and ratios that can break a query or stress at database. Tableau simplifies that through calculated fields and presets.
- Mapping: Normally aggregate maps are created in SAS but, Tableau takes the guess work out of creating maps that display various levels of change using metrics.
- Calculated Fields: If you know SQL or even Excel then calculated fields are the gold nuggets of Tableau. Coding custom formulas that are reusable across workbooks, save so much time.
- Measured Names and Values: I struggle getting that blank area of Measured Names to vanish for cleaner reporting but, if you delete one then it removes the metric as a whole.
Worked superbly for analyzing web traffic data.
- Tableau is an excellent tool for quickly making sense of millions of rows of data. It does an excellent job of recognizing facts and dimensions in denormalized data files (say CSV or Excel) as well as connecting to larger databases. The learning curve is slight but not too steep if you are comfortable with Excel Pivot Tables or similar.
- The visualizations are particularly good as well, as there is a good library of them as well as an auto-suggest feature that for a given series of dimensions and metrics will recommend what chart types might apply. If you have data it recognizes (or is typed) as zip codes for instance it will recommend a geospatial / map visualization.
- If you have broader enterprise needs for data security and segmentation, heavy duty report customization, or data transformation, this is less comprehensive a tool than other enterprise BI packages (e.g. Business Objects, MicroStrategy, or similar). That said, what it does, it does amazingly well and at a tremendous value.
- One minor annoyance is that formatting applied to a workbook doesn't carry throughout or get remembered as a template. The default choices for font sizes tend not to export well to presentations or printed text, and having to hand-enlarge every axis label every time gets obnoxious. I've seen third-party tools developed specifically for re-using formatting selections across one or multiple workbooks.
Tableau Desktop Review
- Ability to overlay data onto geo maps to show customer distribution.
- Ability to forecast trend lines.
- Ability to create dashboards by dragging and dropping individual reports.
- Shared filters are not always made explicitly clear.
- No way to stop the auto sizing in the dashboard view unless you have all reports as floating panes.
- Not possible to print off a full dashboard to a PDF when the embedded report has a scroll bar, simply prints the scroll bar.
My Tableau Review
- TDE - takes a selection of data into the in-memory and helps in quicker processing
- TDE - data can be refreshed and scheduled
- TDE - can work offline with the snapshot of data and later connect
- Smart-Trigger the data extract refresh
- More varied sources of data input
- Thin client, smaller footprint, invoked as an applet in browser
Tableau is less useful: When the IT team already provides business data insight using other BI tools in a much easy to comprehend dashboard format on time.
Tableau - helping you to tell your story ....
- It guides you through the types of visualisations that are possible given your data sets.
- The interface is simple and uncluttered, it easy to access data, manipulate it and it shows immediately.
- There are many different types of visualisations available, and even the browser version is very good.
- Our users complain that it takes a lot to sometimes get their data ready for Tableau. The process is not too complicated but could be simpler.
- Time series data is difficult to deal with. Might have something to do with using time formats from different geographies.
- The geographic capabilities could be improved. Work with geo-info is still difficult and requires pre-work before it works. The MapBox integration looks promising.
Tableau Desktop - Leader of the pack
- User friendly interface, easy to take up.
- Numerous updates, throughout the years I've used tableau, many new features have been added.
- Looks great out of the box, saves time on formatting.
- Licensing is still difficult to explain to new users/stakeholders - could be simplified.
- Lack of backward compatibility, where version 10 worksheets can't be opened by version 9 applications.
- Can be pricey for smaller organisations.
Very suited as a discovery tool that can double up for analysis and dashboard creation replacing older format reports such as Excel based spreadsheets; assuming the data being fed into application is massaged, structured and very 'clean'.
Not as well suited as a direct replacement for ad-hoc spreadsheet heavy tasks that is typically handled by the likes of Excel, where non-structured data can be easily manipulated.
Tableau is a good entry-level visualization tool, not great for multi-user, customizable solutions or big datasets
- Mapping
- Simple dashboards
- Visualizations
- Not in-memory, very slow when published
- Not enough customization available to create dashboards and analytical views; filters types and their positioning are limited
- Not enough formulas
- Lack of filtering schemes where one set of filters or individual's filters can apply to any views across multiple tabs or only to a specific view within a tab; lack of customization with filters
Tableau is my favorite data visualization tool
- Tableau's charting is its best functionality, at least for what we need.
- A second, critically important feature is the ability to pull data from a variety of sources, without requiring ODBCs.
- I'd like Tableau to increase its data analysis functionality. I always start an analytics project with visual analysis, and Tableau does that really well. But when I have to go deeper in the analytics (regression testing, ANOVA, means testing, etc.), I have to switch products.
Tableau is great for reports!! Wish it looked better and had better options for visualizing.
- It generates great reports that are easy to read.
- It can take data from a variety of accounting systems.
- It can refresh data in real time.
- Visually it's pretty boring. Could have a more modern look.
- It would be nice to be able to easily visualize the data on the fly from the reports it generates. If there is a way, I have not found it!
- Data visualizations using array of charts etc.
- Ability to connect to multiple data sources.
- Support of mobile and tablet devices with pinch, zoom and drill down capabilities.
- It is like a UI interface for iPhone.
- Enterprise federated security for deployed scenarios.
- Its primarily self-serve tool works well within a department, but if IT has to roll it out enterprise wide, it lacks some of those capabilities.
Tableau Desktop - A Powerful, Insightful, Dynamic Tool
- Tableau can handle huge data sources and crunch through the numbers.
- Tableau can shine the light on trends and issues that are hidden among the rows and rows of data.
- Tableau has great visuals that help users tell insightful stories.
- Tableau has great dashboards that are easy to use and easy to make.
- Tableau has a learning curve that is fairly steep.
- Users that are not familiar with joins will struggle initially.
- Formulas in Tableau can be a challenge.
Big Data Made Pretty
- Graphically, Tableau represents complex data in an easy to view way. We use it to map vehicles purchased by zip code.
- And it makes building a story based on data much easier. We graphically can cross reference our newspaper subscribers to vehicle sales, for example.
- Additionally, we leverage Tableau for presentations -- easy to take maps/charts and build compelling presentation pieces that are client-facing.
- Would like to see easier export functions of the graphical displays.
- Would like more intuitive guides to the use so we don't need training.
- File sizes used sometimes cause the tool to be "slow."
We use Tableau to display monthly metrics/financials and that seems to be less purposeful. Excel can handle that just as easily so I have not seen the need to leverage Tableau other than it is prettier than Excel.
Tableau Review
The BI group always got hampered by their turnaround time and when they were streamlining projects. Nowadays corporations are moving towards self-service.
Our Research Institute needed to access data, and their nature of work would not allow them to be specific about their request. So first we launched Tableau for our Research Institute customers which gave them ability for self service and discovery. Project specialists and process improvement were our next customers.- The ability to schedule a refresh or cache is very powerful.
- Measures calculations, graphics and the ease of use (user friendly) is very robust.
- Ability to edit, share and create stories.
- Drop down menu (prompt filter) can only be applied on 1 page of the story. I need to control all pages in stories by 1 change in value.
- More types of charts. They have Pie charts, but what about Donut charts?
- It is easy to start building visual representations of data sets quickly.
- Tableau makes is very easy to share your data and visualizations with anyone across the web.
- It is easy to change the type of visual representation you use (bar, scatterplot, etc.)
- It has a bit of a learning curve. Make sure you go through at least a few tutorials before jumping in.
- Map based representations are not as straightforward as they seem.
- Kinda pricey!
Best tool for visualisation
- Stunning dashboards.
- Good visualizations.
- It is easy to use.
- Different functions like average, sum, and count.
- Easy to create graphs and dashboards.
- Tableau is great for analyzing data.
- Huge license cost.
- Difficult to create complex charts.
- Limited data.
- Geographic visualizations with demographic substrates.
- Combining multiple visualizations into a single dashboard presentation.
- Creating exploratory dashboards.
- Storytelling.
- Their ability to send presentations using a snapshot of the data is outstanding.
- Could use a bit more flexibility in their approach to stories.
- Relatively expensive on a per seat basis.
- The viewer requires substantial hardware for good responsiveness.