Reviews (1-25 of 136)
- 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 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.
- 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.
- 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.
- 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.
- 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.
- Real-time view.
- Connects to database
- Provides click-through analysis.
- Visually appealing layout.
- It is not intuitive to use.
- Requires time and effort to create a dashboard.
- Should offer out of the box functionality.
It is not well suited for plain reporting as it is really expensive.
- Allowing users to export data and manipulate the data based on their needs. This means that although there are prepopulated reports, they aren't rigid and inflexible and they allow users to see the data in other prisms.
- We are able to track users at various stages of the product lifecycle, which means we can see drop-offs, conversions, and other critical touch points.
- Allowing for lay users to create individual reports. Currently, we need to request a Tableau data person to mold new reports for us.
- A drag and drop interphase would be amazing for allowing users to mix touch points as they need.
- The ability to copy and paste data into Excel as opposed to exporting. We don't always need an entire report.
The systematization of the information in a single database was attended; analysis of the information was represented in easy-to-understand tables and graphs. Thus solving the problem of using other programs that do not offer as many professional quality options as a table. In the same way, it was allowed to solve the problem of the existence of several databases.
- It has easy-to-use bar-type graph options that allow you to group a lot of content.
- It offers the possibility of working with a database in order to position your exact location on your territory and display your information on a map.
- It has options to superimpose information between two related variables.
- It has the potential to work with ideal trend data for decision making.
- Although it allows you to link variables, I consider that the presentation of the information is not ideal. I think the vendor can work on improving that tool.
- It is difficult to use the tool for georeferencing data, because it asks you to check many options to apply the task. I think the vendor can work on simplifying the process.
- They should review the process of linking data sheets with the tools from Tableau. On some occasions, I had to do the work again because I did not recognize the database. Work on simplifying the process please.
Inappropriate scenario: Using the tool for the design of thematic maps of professional quality and that is adjusted to the international standards of cadastre, geography, and cartography, I consider that it does not have the propitious tools to develop such activities.
- Excellent data visualization tool.
- Easy to learn and great support from the community.
- Great ecosystem to manage data for organizations of any size.
- Expensive for small organization
- Product support from Tableau is limited
- Need more easy to use templates for users who are just starting out.
- Scalability of Tableau is amazing. We have thousands of users who interact with the Tableau reports on a daily basis without any major issues. It is exactly like the bigger organizations like us need.
- Ease of use is another thing that is very good about Tableau. With a very less training, a user can start creating basic reports. As there are many Tableau users around the world, we get a lot of materials, videos online very easily.
- Beautiful visualizations are the best part of Tableau. Once you get the hang of Tableau, you can impress your boss by creating visually appealing dashboards. Many types of charts are available in Tableau, but if not, you will always find a way to create the visualization you need. Tableau never disappoint you.
- When creating a data source that needs several tables to be joined together, Tableau does its thing by loading the metadata, executing a query and loading data for preview. It does it after each and every join condition. Basically, every time you add a join condition you wait for a minute to create another one. God bless you if you are joining ten tables. There has to be way to pause this data load or at least some part of it to make this process faster.
- We had this issue of connection looping with Tableau. Even with a good connection, Tableau ask us to reconnect to the data source. This thing goes in an infinite loop until you hit "No" or "Cancel". And it doesn't exactly show in the log that why is it doing that. Logging needs to be improved.
- Tableau doesn't like Star or Snowflake schema even with a columnar database. We have these big Star schema (some of them are a little snowflaked) that we tried to load in Tableau. But they were slow. We converted those to the flat tables and Tableau works great with it.
- Tableau allows me to quickly explore a dataset and find meaningful visualizations and segments in the data. I find that it's the tool I turn to when I have a fresh set of data and need to quickly pick apart what's important to know about that data.
- A lot of my business stakeholders can't understand data without being able to see a visualization. Tableau enables me to take structured data and build those visualizations much faster than something like Excel.
- I enjoy the flexibility in being able to create calculated metrics within the tool. This saves several steps in creating those new metrics within the raw data. The calculated metrics are robust, allowing you to write logic to get at the data that you really need.
- I spend a lot of time customizing dashboards for clients to match their branding and aesthetic. The one particularly annoying thing is not being able to change the font colors on the y-axis labels. It seems so simple, but there's honestly no way to do it!
- I work from a laptop that is a few years old. Tableau software is not a light program and I often run into system memory issues when I'm running Tableau Desktop along with other programs. I probably just need a faster computer, but IT has budget constraints and I'm not sure when I'll get a PC upgrade.
- Sometimes I could spend a lot of time just trying to find a feature in the tool. Like a lot of other Tableau users, I end up googling my question and finding the answer on a community post or YouTube channel. I know it's not just me, as sometimes formatting and customization are not very straightforward.
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|