Reviews (1-25 of 143)
- Easy to use
- Plenty of Customization options
- Can be quick to pick up for average users
- Supports some complex analytics
- Integrates well with other software
- does require some workarounds to solve sometimes simple analytics
- training for product is also very expensive
- Tableau's suite of powerful data visualization tools allows users to create static and interactive dashboards with the ease of a drag-and-drop interface. It can help users avoid common data visualization pitfalls.
- Tableau handily deals with millions of rows of data, from various data sources, including spreadsheets and SQL databases. This allows users to integrate disparate data sources that may have been difficult to connect otherwise.
- Tableau's interface allows data analysts of all experience levels to quickly begin producing compelling and useful analysis and visualizations. As a user gains experience, Tableau's feature set continues to keep pace.
- Pricing at scale is inordinately expensive. One must pay for the best, it seems, but better large-volume pricing would be appreciated!
- When assembling a worksheet, there is only limited room for columns, and when that capacity is exceeded, columns are auto-collapsed into merged placeholders, which cannot be easily inspected.
- Tableau is so feature-rich that it can feel impossible to master. While the vendor does provide training outreach, an emphasis on interactive tool-tips and other forms of "hands-on" training would be a welcome addition to the application.
- Visualization of data.
- Easily connects to local or a variety of data sources or APIs.
- Short learning curve to come up to speed.
- The pricing model has been tricky at times.
- Tableau corporation doesn't do a great job with the inventory of those who own licenses.
- Performance has been an issue at times.
- Tableau offers incredible data visualization tools and the ability to parse massive data-sets in a very limited time. Its plethora of different chart formats and tools allow you to show data almost any way, making it easy to adapt visualizations to differing needs and tastes.
- Tableau is great for creating a combined dashboard with multiple databases as the source. This is one of the main features that the Tableau can connect to almost any data source and import the data easily and quickly.
- The support for natural language query is invaluable. It helps people of all skill levels quickly discover actionable insights because they don't have to learn any particular language to get on-board with it.
- The charts and graphics that tableau makes are easy for even nonanalytical people to understand, ideal for end-users of information as well.
- When we are importing data from multiple sources and the data is huge, it sometimes tends to lag and have also crashed sometimes.
- Tableau Desktop lacks the basic functionality of cleaning and prepping the data to be imported in Tableau Desktop. This is one of the major features which it lacks, you need additional support from Tableau to get these things added.
- It has the annoying habit that saved database connections must be re-authenticated every time you open the program, which is a complete waste of time and effort to do it, again and again, each time.
- It creates good dashboards.
- Selecting the fields and metrics is quite easy. We can create the formulas for presenting any variable.
- We can use this tool with R studio and SQL, which I think is the major power of this tool.
- We can process huge data in a very limited time.
- Output delivery of charts is also very efficient. For example, we can take the PDF of the charts, which is good, from other tools.
- More statistical functions need to be introduced in it.
- We can not clean the data through this tool.
- While taking the data from multiple sources, it hangs sometimes which sometimes crashes the whole system.
- User-friendly interface.
- Good IT support and lots of resources.
- Can publish reports to a server.
- Quite expensive.
- Limited functions in calculations.
- Not support embedded SQL.
- Not compatible well with Microsoft’s products.
We have used it to solve all kinds of problems across the data value chain, from data exploration, automation of reports and providing insights.
- Lots of Data Connections
- Easy Visualizations
- Well supported in the community
- Flexible tool - many ways to do things.
- Error messaging is ambiguous
- Confusing interface - many ways to do the same thing
- Limited Crosstabs
- Dashboard layouts don't allow cutting and pasting of objects
- Despite what they try to demonstrate, big datasets still don't perform as quickly as you might expect them to
- After basic training users can operate with Tableau by themselves.
- Tableau is good for evaluating base data analytics and data science tasks.
- In comparison to Ms PowerBL: fewer visuals in Tableau.
- Fewer free versions and support documentation/examples in Tableau rather than in PowerBI.
- User-friendly, and made for visual learners.
- The best tool for presentation purposes and actionable examples.
- Good for using our data in a way that can be understood by everyone in the business.
- It can be slow, as in loading slow and taking a while to switch from dashboard to dashboard.
- Very easy UI for all level of users.
- Easy to save/favorite different dashboards.
- Granting access to different levels of users is easy.
- You still need to have a fair amount of technical skills to set up some dashboards.
- Drag and drop functionality could work a little easier.
- Keep working on the UI.
- Tableau's customized visualization capabilities are super awesome and pretty much unmatched in BI technology stack.
- The drag and drop features allow even novice users to create smart visualizations. A new user can effectively start building viz's sooner than later.
- The Tableau story feature helps users create a powerful narrative that can be used in a presentation to users of all levels and effectively communicated the message.
- Creating some of the chart types can be very difficult with Tableau. Try creating a bagel chart.
- Tableau can make improvements in providing suggestions on which are the best chart types to use based on the input data set.
- The architecture needs improvement. If there is a dashboard with large quantities of data and if a small portion of the data changes, Tableau reloads the whole dashboard to refresh the data set, which is quite unnecessary in the age of cloud architectures.
It is not as well suited for generating quick visualizations or building reusable visualizations, which can be plugged and played in different dashboards.
- Easy to import data from multiple sources
- Easy to drag and drop and create various dimension
- Easy to build a storyboard
- A simple knowledgebank to get people started is essential.
- The pricing could be slightly lower for individual users
- The calculated fields could be made simpler
There are instances where organizations do not have enough of a budget to invest in a visualization and storyboarding tool and hence like to go with open source tools. In such scenarios, considering the pricing of Tableau, it may not be appropriate.
We have creators that publish to the server which other users leverage. That solves the business problem of sharing spreadsheets and everyone having a consistent view of the information.
- Easy to learn.
- Analyzes your data and recommends potential reports.
- User-friendly interface.
- Expensive compared to other tools.
- Hooking into data beyond CSV can get complicated.
- Entire Tableau ecosystem (Desktop, Server, etc) is overly complicated.
- Allows for complex dashboards to be made and then presented to less-technical audiences
- Stories help highlight important information in the information, allowing a presentation to stand on its own without having to be explained in person
- Recommends different visualizations based on the type of data inputted
- Very steep learning curve for those who haven't used it previously.
- Because it's a powerful tool, getting it to do simple things can be extremely difficult.
- A jack-of-all-trades solution, sometimes it's hard to find or create industry-specific visualizations, such as NPS gauges.
- Can process large amounts of data.
- Has lots of data connections to feed data.
- Easy to set up basic reports and dashboards.
- The Online and Server products make Tableau easy to use and share work with large groups (or small groups).
- Now has the backing of Saleforce and that admired company culture.
- The cost for Desktop and Server is extremely cost prohibitive.
- Tableau is quick to blame the users when performance and processing speeds are poor, but in reality, Tableau needs to work on making the application lighter and more powerful. There is a tool to evaluate performance on each workbook.
- Needs more data connectors.
- It takes advanced training/knowledge to create advanced reports and dashboards. If you use it every day you can become advanced in a few months.
- Training documentation and access to trading materials are lacking. Maybe they want youtube to be the main source of training?
- It is easy to use.
- It has many data connections (data sources).
- It is multilanguage.
- Tableau is easy to learn.
- It is difficult to configure page layouts.
- Complex data sources correlations are difficult to create.
- The price could be better when compared to competitors.
- Pulling data from multiple sources.
- Can handle large data sources, unlike Excel.
- Pivoting data in more dimensions than Excel.
- Difficult to learn and use.
- Requires a lot of skill to create more developed visualizations and automated reporting.
- An extremely expensive and over the top solution for small businesses.
- Very user friendly, even a beginner would not have problem in understanding how to use it.
- Various types of charts are available.
- Sharing the dashboards is easy.
- Creating a dashboard is pretty easy and only Tableau has storytelling options which have helped me in my presentations.
- Raw data downloading behind the dashboard - The format of the data that we download would be in a very confusing format.
- Format matching is pretty much manual for various charts that we create.
- Data cleaning, wrangling & formatting has a lot of room for improvement.
- Alerting system from the dashboard is not available yet.
If you want to manipulate the data a lot, you may want to clean up the data before adding to the Tableau. Also, if you want any alerting system when any KPIs change a lot, Tableau may not be a good option.
- Multiple data connections and blending
- Ability to see recommendations for graphs
- Ability to use API to create custom applications
- Extension gallery needs more options
- I think having the ability to use libraries like D3 into graphs
- Hyper being able to handle multiple joins better
- It's a highly flexible for building dashboards. Once you know how to use the tool, you can design a dashboard to look exactly how you want.
- Has a broad range of data connection options.
- An easy UI for joining datasets.
- The learning curve is really steep. Even with online self-help resources and training modules, it takes a long time to learn fairly basic operations compared to other tools I've used. Basic operations in Tableau Desktop should really be simplified to acclimate new users.
- I experience lots of unexplained connection errors and the error messages are really ambiguous. I've learned to keep retrying multiple times and that often resolves the error, but sometimes if a workbook has been inactive for a while, the only way to resolve the connection error is to restart Tableau Desktop. That is really buggy behavior, and I have wasted a lot of time (as have many colleagues of mine) trying to decipher these errors. This really needs to be fixed.
- The application runs really slowly. I have a powerful PC, but Tableau Desktop really saps its resources. The previous BI tool we used was cloud-based, so this was a big adjustment moving to this resource-intensive thick client. I think it should be optimized to run faster. I spend too much time waiting.
Tableau Desktop Scorecard Summary
Feature Scorecard Summary
About Tableau Desktop
Tableau Desktop aims to allow people to make data-driven decisions with confidence, by helping them answer questions more quickly, solve harder problems more easily, and uncover new insights more frequently.
The vendor says that with a couple of clicks, 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 analysis. Interactive dashboards, drag and drop functionality, and natural language queries help users of all skill levels quickly discover actionable insights, all from an intuitive and visual interface. Users can ask deeper questions by quickly building powerful calculations, adding trend lines and seeing statistical summaries, or clustering data to see relationships.
Tableau's goal is to help people and organizations become more data-driven. With an integrated platform that is strives to be easy to start and scale, Tableau aims to support the entire analytics journey, from data preparation, to deep analysis, to the shared insights that drive the business forward.
Tableau Desktop Competitors
Free trials are available for both editions.
Tableau Desktop Technical Details
|Operating Systems:||Windows, Mac|