I like Tableau because it makes it easy to create interactive and visually appealing dashboards, and quickly explore data to identify trends and present insights in an understandable way. I value Tableau's interactive dashboards, drag-and-drop visualization tools, filters, and calculated fields the most. These features simplify data exploration, allow the creation of customized views, and help me swiftly spot trends or patterns without building everything manually. Review collected by and hosted on G2.com.

Tableau can take some time to learn, especially when working with more advanced calculations and complex dashboards. Some features can also feel less intuitive at first, and large or complex workbooks may require optimization to maintain good performance. I find advanced calculated fields, table calculations, and data blending a bit challenging when working on more complex dashboards. Performance can slow down with large datasets, many visualizations, or complex calculations. Tableau could be more intuitive by providing clearer guidance and examples for advanced features, along with better performance recommendations or automatic optimization suggestions for large workbooks. Review collected by and hosted on G2.com.

With Tableau one can easily translate complex data into interactive dashboards. Thanks to its drag-and-drop functionality one can explore data without using any codes. Filters, drill-downs, calculated fields, visualization etc. allow us to create dashboards for different business units. Integration of data from several sources allows for creating a more complete overview of business performance. Review collected by and hosted on G2.com.

More advanced capabilities of Tableau such as calculated fields, parameters and complex data relations may require some time to learn. Badly-designed dashboards can perform poorly in terms of speed when dealing with large volumes of data. Review collected by and hosted on G2.com.

The best part I liked about Tableau is I can connect to almost any data source and without any code I can quickly build powerful visualizations. Also the ability to turn raw data into clear, dashboards is easy. The stand out point of Tableau which is important to me is when I am conducting fraud investigation and need to compare different data from multiple touch points. Review collected by and hosted on G2.com.

Although Tableau provided a supportive community but still we required a dedicated resource to setup, use and manage. The customization is sometimes challenging, data syncing too doesn't seem to work right. Review collected by and hosted on G2.com.

It helps to consolidate data across various customers/geographies and make them presentable in a high quality graphical format. it can generate time series graph for https requests, login attempts, CPU usage etc. This finally enables us to gain insight into cloud infrastructure planning. The UI of tableau is quite intutive and any techie with basic DB query skill can use it to create reports easily. Review collected by and hosted on G2.com.

The product is overall good but we need to request for it's license through our internal IT Infrastructure team. Whereas Power BI comes bundled with Microsoft products and our company is encouraging us to use Power BI Review collected by and hosted on G2.com.

I really like Tableau for its drag and drop interface, which makes exploring data fun and easy without needing to know any proprietary language. The visualizations are pretty cool and allow me to paint a picture with the data. It's known for truly powering business intelligence, offering a health view into the business, and helping run data in a driven way. The initial setup is pretty easy, which is a key aspect since it allows you to connect to the data and use the drag and drop functionality immediately. I would definitely recommend Tableau to my colleagues because it makes data exploration intuitive and enjoyable. Review collected by and hosted on G2.com.

I think Tableau could improve in how it manages data with natural language because that would make it easier for people to access and work with more data. Also, automating data prep would be super helpful. It'd be great if you could just point Tableau to the data sources and let it work its magic to get data ready fast. Review collected by and hosted on G2.com.

I have been using Tableau for about a year now, and honestly, it’s one of the most intuitive and powerful tools I’ve come across. What I love most is how easy it is to connect to different data sources, whether it’s a simple spreadsheet or a big database. The drag-and-drop interface makes building dashboards feel really natural, even if you’re not a coding expert. I can go from raw data to a polished, interactive visualisation in just a few clicks. It’s really helped me tell a story with my data, and it’s just a joy to work with. Review collected by and hosted on G2.com.

The only thing I sometimes find a bit inconvenient about Tableau is that when I have really large datasets, the initial loading gets a bit slow. Also, some advanced calculations or custom scripts require a bit of a learning curve, so it takes a little more effort to master those. But once I get the hang of it, it’s really worth it. Review collected by and hosted on G2.com.

The biggest strength is how fast you can turn raw data into clear, interactive visuals without writing code. The drag-and-drop interface makes exploration genuinely intuitive—you can slice, filter, and drill into data on the fly and spot patterns you'd miss in a spreadsheet. It connects to a wide range of data sources (databases, cloud warehouses, flat files) and handles large datasets well. The dashboards are polished and interactive, which makes sharing insights with non-technical stakeholders easy, and the visualization options are far richer and more flexible than most BI tools. Review collected by and hosted on G2.com.

The cost is steep, especially once you scale up licenses across a team. Performance can degrade with very large or poorly optimized data sources, and complex calculations or LOD expressions have a real learning curve. It's more of a visualization layer than a data-prep tool, so heavy cleaning and transformation usually happen elsewhere first. Version control and collaboration on workbooks are clunky, and some advanced customization still requires workarounds. Governance and managing lots of published dashboards can also get messy at scale without discipline. Review collected by and hosted on G2.com.

I appreciate how Tableau easily connects with Salesforce, allowing for effortless integration for our company. Additionally, I find Tableau Pulse incredibly useful as it connects with various APIs, integrating market data and our own numbers in one place, which is extremely advantageous for presenting updated data to the leadership. Review collected by and hosted on G2.com.

I think Tableau is not very user-friendly for common users. I had to hire two people to help implement the project and start using it. Additionally, the internal training on Tableau could be improved; it would be ideal if Tableau had something similar to Trailhead to facilitate learning and implementation, allowing me to use internal resources instead of hiring external partners. Review collected by and hosted on G2.com.

Tableau strikes a great balance between ease of use and the ability to solve complex business problems. I use it for everything from executive dashboards to large-scale media analytics involving millions of records, and it gives me the flexibility to build solutions that fit the business instead of forcing the business to fit the tool. I also appreciate how well it integrates with a wide variety of data sources and how features like Tableau Prep, APIs, and extensions allow me to automate workflows beyond simple dashboarding. One of the biggest unexpected benefits has been the community. The willingness of users to share knowledge, techniques, and ideas has accelerated my own learning and helped me build better solutions than I could have on my own. Review collected by and hosted on G2.com.

Tableau's greatest strength is also one of its challenges: it's a mature platform with an incredible depth of features. Because of that, new capabilities can sometimes take longer to reach users than we'd like, as they need to fit into an already robust ecosystem. The flexibility of the platform also means there are often multiple ways to solve the same problem, which can make it difficult for newer users to know which approach is considered best practice. I'd like to see Tableau continue simplifying the overall experience while continuing to invest in AI, automation, and modern cloud capabilities. Review collected by and hosted on G2.com.

Tableau makes it easy to go from raw data to a clear, interactive visual in minutes. The drag-and-drop interface encourages exploration instead of forcing you to plan every chart up front, dashboards are intuitive for non-technical stakeholders, and the wide range of data connectors keeps reporting current without manual work. Review collected by and hosted on G2.com.

Calculated fields are hard to debug and there's no real version control for workbooks, so troubleshooting or collaborating on complex dashboards gets messy. Performance can lag on large live datasets, and the per-user licensing gets expensive quickly once you roll it out to a wide viewer audience. Review collected by and hosted on G2.com.