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
(126-150 of 193)Tableau-University Use
- The functionality of dashboard gadgets is very easy and the data relationships are easy to understand.
- The visualization of dashboards is excellent. Tableau helps produce dashboards that are second-to-none in regards to the visualization and gadget presentation of its dashboards. A new user could understand how an existing dashboard works with very little time of use.
- The process of designing each dashboard is too complex and is too time consuming. Every little detail has to be added, which is slows the process down and takes away from the objective of the dashboard. There needs to be a faster way to design a dashboard.
- Tableau is very difficult to understand for first time users. It needs to be more user-friendly in terms of navigating through the software. It is difficult to differentiate exactly what the user is doing or wants to do.
The Current Leader in Visualization
- Visualization
- Data Filtration
- Basic Data Cleansing and Mashup
- Joining different data sets
- Publishing to more formats
- Increased flexibility to annotate visualizations
Tableau: Good but not idiot proof
- Great for geocoding/viewing content plotted on a map
- Analysis features are very powerful
- Data connectivity options are numerous
- Overly complex for the lay business user to connect to data
- Needs to save connections and credentials such that they can be re-used
Best data visualization and analytics tool out there
- It helps me to analyze individual performance, for example of one of our hotels, compared with other Hilton hotels in the region.
- It helps me to visualize trends and identify outliers very easy. I can take action faster on any issue that I identify.
- Data visualization is the best thing Tableau does, also the availability to apply filters and date ranges on the flight is fantastic.
Increased productivity and client satisfaction
- Blending data from a variety of different sources such as SQL Server and CSV and Excel files. Allows you to get up and running quickly, without waiting for data integration, loading, etc.
- Ability to designate a column of data to be a dimension or a metric. Enables a whole new level of flexibility versus a pivot table!
- Drag-and-drop detail for pop-up text. Great way to annotate visual without extra work or consuming screen space.
- Linking filter actions across objects on a dashboard significantly enhances visualization and interaction for the user.
- Cannot put multiple metrics on the secondary vertical axis. Some workarounds available, but less than ideal.
- Wonderful feature of floating containers in dashboards, however, "No Fill" for background color is white, not transparent, which limits where you can float the containers.
- Metric calculations are SQL based, so more complex joins and formulas require custom SQL coding.
Tableau Desktop - Why & Why not?
- Creating visuals are very quick. Doesn't need much training. Anyone who can handle Excel can also handle Tableau visualization. The interface is well organized and everything is possible with less clicks. The default color layout & representation of graph & grid is very attractive. So excellent use experience.
- Data Source Connectivity- It provides lot of data source connection options. Tableau provides an option to connect to a file (Excel, Text, Access, CSV etc. ), connect to DataBase (Microsoft SQL Server Oracle, Amazon Redshift etc.), ODBC connections, Google Analytics, SAP HANA and many more.
- Excellent mobile support. Tableau put a lot of effort into developing a robust mobile client. Sensitive Control & Reports are pixel perfect.
- There is no concept of Change Management or versioning. The way it works is -i) Connect to your source ii) Build the reports in Desktop iii) Publish them online. Now for example if you did some modification & republished it, Tableau Online would always show the latest version. There is no way to retrieve the previous version of report.
- 3D Charts are not available
- Connecting live to Hadoop via ODBC driver is still painful because of its performance.
- Cost is high,this means you need to buy a Desktop license and server separately. The cost is a major factor desktop - $2000 with yearly maintenance paid upfront. This combined with maintenance of - $200, which you need to pay every year. This is per user.
- Data compression capability
- Snappier GUI interface for happier analyst experiences
- Leading the industry in visually appealing visuals
- Loads of customization possible
- Availability of loads of resources online
- Lots of users to share their experiences and problems online
- User service/support from Tableau after product sale needs improvement
- Many new generation visuals need to be added to defaults and automatic graphs (eg. Sankey, decision trees etc.)
- Industry specific solutions can help a lot
- Cost is very high (especially for higher education institutions and non-profits)
Tableau - the better BI tool
- Clean visualizations that are not cumbersome or dated.
- Exceptional presence on (windows) desktop, web and mobile (capability).
- Connects to a variety of disparate data sources.
- Faster enablement of reporting and analytics than other BI contenders.
- No OSX support (due 2014).
- Browser Authoring needs more maturity.
- Missing some visualizations (coming in 2014).
- Some of the sorting capabilities on calculated fields are limited.
- Not great if you're looking for Crystal Reports style static reporting production.
- Integration with portal systems.
Tableau Desktop reality revealed
- Connectivity to RDBMS, Excel, Files, Big Data. So a wide variety of data can be reported through Tableau.
- Tableau extracts can get the data out of source system and store it in the Tableau server or desktop user's machine to enhance the response time.
- Wide variety of analysis tips and pre-defined chart features that guide new users to create intuitive reports.
- Quick filter, easy to share and number of analytical functions to create custom calculations.
- Blending of sources can be enhanced to provide option for full outer blending.
- Join option between tables need to have more variety than equi-joins.
- Restriction of showing 16 distinct dimensional field in a report needs to be removed.
- Drag and drop functionality allows a user that is comfortable with MS Excel pivot tables to shorten the learning curve.
- Ability to quickly build dashboards and publish them to Tableau server.
- Connecting to your data sources is simple and intuitive. You can connect to multiple data sources easily.
- If Tableau can make the desktop application web based that would make installation and upgrades much simpler.
Tableau Desktop for BI Professionials
- Easy for end users to use
- Straight forward for developers to set up
- Expensive
- The web client is clunky and often requires users to open in Tableau Desktop to use full range of features without bugs.
Tableau Makes Data Sexy!
- Great user interface and easy to use.
- Great performance in large data volumes.
- Great for combining different data sources and consolidating into one for reporting.
- Fantastic visual data representation.
- None that I can think of.
Tableau for Analysis- great tool!
- It's effective to create custom dashboards.
- Syncs with your exicting data in any form, be it from Excel or your database.
- Report exporting.
- Sometimes it takes a long time for huge Excel files to import.
- Changing color or minute details like annotation on a specific aspect of say a bar chart is a problem.
- User Interface is awesome
- End user can also use it easily as it is intuitive and friendly with drag drop features.
- Lot variety of graphics and charts
- Showing simple table data in rows and columns is bit tedious. In other software we have straight table, cross table, graphical table. But tableau haven't given much attention. Many people want this simple things to show in table format (data as is)
- UI Alignment, layout adjustment in worksheet, dashboard, stories is sometime pretty difficult.
- User gets confused amongst worksheet, dashboard, stories as one can change individually and hence lost in synchronization of it. I think they can reduce so many various terms and stick to only one or 2 area where user can develop reports/charts/visuals.
- For each chart I have to create a sheet. So in big dashboard where there are 10s of pages each containing 4-5 charts. Imagine the maintenance load and effort to manage it. One can easily lost in so many Tableau sheets.
Dashboard Experts, Scorecard Headaches
- Tableau Desktop has a great variety of visualizations. Once a dashboard is created refreshing the data is quick and easy.
- The calculations in Tableau Desktop are easy and logical. It suggests as you type, making it quick and easy.
- Parameters are very powerful ways to slice and filter the dashboards.
- It's weak with Tabular reporting. It also won't let you reference a specific cell in the same table, making scorecards difficult.
- It needs some more options on colors, shading, 3D, etc., to add variety to the visualizations.
- Dashboard creation isn't as easy as it could be. Lining different elements up, centering, etc., was sometimes difficult.
- Rapid dashboard development. Tableau makes it extremely easy to visualize data in a multitude of ways and combine related pieces into a visually appealing dashboard for business users.
- Support for a wide array of data sources, the ability to blend or join data from disparate sources together.
- A large number of built-in chart and graph types to help users visualize data.
- global filters to quickly slice and dice data sets by whatever dimensions or metrics you desire.
- We have issues with Tableau calculating different attributes on date dimensions. Because of this, we've had to manually add additional fields to our date dimensional tables to support year over year reporting.
- Tableau server doesn't currently have support for business users creating their own calculated measures. This would be an extremely useful feature, especially for the users who we consider "power" users that want to perform further analysis on the reports the BI team provides.
- The live data streams seem to add a lot of overhead and really hinder the "interactivity" portion of the dashboards. Because of this, we've stuck mainly to using data extracts to ensure the dashboard interactivity is responsive.
- House large quantities of data
- Import various data sources
- Visually display and organize data in attractive and easy-to-use ways
- User access
- Ability to share
Tableau is great at showing your value
- Being able to provide key performing metrics much easier and quicker
- Reduced time building dashboards that would normally take hours or days
- Answers "what if" questions much easier and faster
- Although there are helpful links I can find via Google, I wish Tableau would make it easier to write calculated fields. For example, I needed to write a calculated field which included a parameter for percentage change in sales. Instead of using "excel" language in the IF, AND, OR I wish you could click on a button that answers your question and either walks you through on how to do it or basically does it what you ask it to do. I spend more time trying to figure out the field.
Data Analytic Queen
- Population Health - customizable, UTD data that makes findings visible.
- Real Time analytics and SQL compatibility.
- The ability to change variables and not skew the remainder of your variables in an environment.
- The ability to create custom fields for data
- Lack of reporting ability
Tableau Reporting
- Great at storing history of reporting, and pulling various reports by division and time frame.
- Sometimes hard to format reports to fit on page. Often end up with unnecessary blank pages at the end of some reports. Have tried changing page layout and formatting, but can't seem to get the appropriate fit.
Best report compilation software ever
- It lets people dive into tables/SQL without needing to know complex queries.
- It's easy to use and makes generating reports very easy.
- It was easy to set up and didnt require much maintenance.
- Getting it to do some things that seem easy end up being quite complex.
- Expensive.
The power tool of the digital analyst
- Slicing & dicing of data
- Visualization
- Ease of connectivity to Google Analytics (but always has a downside, see "Cons")
- Ease of connectivity to dispersed data sources
- The Google Analytics connector still needs an "advanced mode" where we would paste our own API request. The dumb-proofed interface turns out to be limiting for advanced users (doesn't allow dynamic segments, sometimes lag behind the official API).
- Data blending between dispersed data sources is often confusing and limiting.
- A built-in data-transformation step would be absolutely awesome - I often have to use an ETL (Extract/Transform/Load) tool to prep the data.
- Low cost.
- Self-service format, very easy to implement with minimal IT resources needed.
- Flexibility...and data visualization features are much better than expected.
- If original data sources change (e.g. field name change, field added/removed, file name change), it can be tricky to remap new names to previous ones without disrupting existing sheets, dashboards, and/or storyboards; of course, this issue likely exists with any comparable tool.
- Large datasets require extraction to minimize latency. Extraction can take several minutes. Again, this may be something most other tools encounter.
- Although I previously mentioned ease of implementation as a strength, there is a learning curve using Tableau Desktop. BUT, there are useful online instruction videos...and our Tableau account mgr is available for assistance.
Tableau - Great for business needs small to XL
- Mapping.
- SQL data extraction.
- Quick filters.
- The maps do not work unless your computer is connected to the internet; if the data is showing an extract why do I need to be connected to the internet
- An easier way to learn the Tableau code to build your own equations. You can google or buy SQL coding, VBA, etc. but you cannot easily find Tableau coding.
- An easier way to lock down the tabs used to make the dashboard.
If you have even a little budget for software, and think at all visually, just get Tableau, ok?
- Once data for a given analytics study is CLEAN, this is the fastest way to profile the data and "feel" it out. With a few iterations of looking at Tableau worksheets and massaging the data further, you can get a very good idea of what the data says in a broad sense as well as good places to check for anomalies.
- At the other end of the value chain, experts in Tableau can design very complex dashboards for clients. This part is harder, but allows the marriage of the data alongside its context. This lets clients who are subject matter experts rapidly understand what the data says without information overload or having to learn all kinds of technical stuff about the data.
- For visual thinkers, you can play around with the data fairly rapidly (make sure to create an extract to optimize the data model first). Most analytics tools are essentially programming platforms with varying amounts of lipstick atop the pig. In Tableau, it's quite a bit more intuitive.
- I here there's this thing out there called Microsoft Excel. I'm not sure if anyone has heard of it yet. This magical product has something like 90-95% of the functionality of Tableau at the marginal price of *free*.
- Tableau costs a lot of money, albeit less than the big legacy guys. In fact, you guys paying for SAS, SAP, generic "enterprise" analytics software, what does it feel like to fuel a barrel fire entirely with your project budget?