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 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.

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.

What I like most about Tableau is that it makes data easy to understand. I can quickly create charts and dashboards without writing a lot of code. It helps me find useful insights, spot trends, and share information in a clear way. I also like that it is simple to use and makes it easy to explain data to others. Review collected by and hosted on G2.com.

One thing I don't like about Tableau is that it is more expensive than Power BI. It also takes more time to learn, especially the advanced features. Since many companies already use Microsoft tools like Excel and Azure, Power BI fits better into their workflow. Apart from that, Tableau is a great tool for creating interactive dashboards and visualizing data. Review collected by and hosted on G2.com.

Tableau has become our primary tool for turning raw business data into dashboards that are easy to understand and share. I use it to monitor website performance, product metrics, and operational KPIs without having to prepare reports manually every week. Features like filters, drill-downs, and interactive visualizations make it much easier to answer follow-up questions during stakeholder meetings. Review collected by and hosted on G2.com.

As dashboards become more complex, maintaining them can take time. Changes to data sources or calculated fields sometimes require updates across multiple reports, and dashboards built on large datasets may need optimization to keep interactions responsive. There's also a learning curve for advanced calculations and dashboard design. Review collected by and hosted on G2.com.

What I like most about Tableau is how easy it is to build dashboards without having to spend a lot of time learning the tool. It connects reliably to a wide range of data sources, performs smoothly even with large datasets, and the visualizations look genuinely impressive. While the pricing feels a bit high, I still think it’s worth it because it saves me a lot of time and makes reporting more efficient. When I get stuck, the support resources and the community are helpful, and AI features like Tableau Pulse make it easier to surface insights without having to dig through all the data manually. Review collected by and hosted on G2.com.

The only downside I've experienced with Tableau is that it can feel a bit expensive, especially if you're using it individually or in a small team. Some advanced features also took me some time to figure out, so there was a bit of a learning curve. I've noticed that larger dashboards can be a little slow to load sometimes. The support is helpful overall, but I wish response times were faster. The AI features are useful, but I'd like to see them become smarter and more practical for everyday analysis. Review collected by and hosted on G2.com.

What I like most about Tableau is how easy it is to use. The drag-and-drop interface makes it simple to create dashboards and visualize data, even without deep technical knowledge. It saves me a lot of time compared to manual reporting.

The interface is clean and user-friendly, and I can easily connect to different data sources like Excel, databases, and cloud platforms. This makes my workflow much smoother and more efficient. Tableau also performs well with large datasets, and the dashboards are interactive, which helps stakeholders understand the data better.

From a pricing and ROI perspective, I feel Tableau provides good value because it significantly reduces manual effort and speeds up decision-making. The time saved on reporting and the ability to deliver insights quickly make it worth the investment.

In terms of support and onboarding, Tableau has a lot of helpful resources like tutorials, documentation, and an active community. This made it easier for me to get started and continue learning new features over time.

I also like features like “Ask Data” and “Explain Data,” which help quickly generate insights without spending too much time on deep analysis.

Overall, Tableau has made my work faster, more efficient, and helped me present data in a much more meaningful way. Review collected by and hosted on G2.com.

Here’s a natural, human-sounding response that covers all the points:

***

One thing I find challenging about Tableau is that, while the UI is generally user-friendly, some advanced features can feel a bit complex and not very intuitive at first. It takes time to fully understand how to build more detailed or customized dashboards.

In terms of performance, Tableau can sometimes slow down when working with very large datasets or complex dashboards. This can impact productivity, especially when quick analysis is needed.

Regarding integrations, although Tableau supports many data sources, setting up certain connections or managing live connections can occasionally be tricky and may require additional configuration.

From a pricing perspective, Tableau can feel a bit expensive, especially for smaller teams or organizations. While it does provide value, the cost can be a concern depending on the budget.

For support and onboarding, there are plenty of resources available, but getting direct support or quick resolutions for specific issues can sometimes take time.

Lastly, while Tableau has introduced AI features like “Ask Data” and “Explain Data,” they still have room for improvement in terms of accuracy and usability for more complex queries.

Overall, these are areas where improvements could make the experience even better.

***

If you want, I can make it shorter or sharper for submission 👍 Review collected by and hosted on G2.com.

As a frontend engineer, I particularly appreciate Tableau's focus on user experience. It allows data to be presented in a way that's interactive, visually appealing, and easy to interpret. I enjoy building products that help users make decisions, and Tableau aligns well with that philosophy by making complex datasets accessible through intuitive dashboards. I also like its ability to connect with various data sources and quickly prototype analytics without extensive backend work. Review collected by and hosted on G2.com.

While Tableau is a powerful visualization tool, I find that dashboard version control and collaboration can be challenging compared to traditional software development workflows. It also has a learning curve for advanced calculations and complex data modeling. Additionally, performance can degrade when working with very large datasets or highly complex dashboards if they're not optimized. That said, most of these challenges can be addressed with good dashboard design, data modeling, and governance practices. Review collected by and hosted on G2.com.

One of the things I like most about Tableau is how intuitive and visual it makes data analysis. Instead of writing long queries or complex scripts, I can drag and drop fields to quickly build charts, dashboards, and stories. That makes it easy to move from raw data to insights within minutes even if you’re not deeply technical. It also connects to a wide range of sources (databases, Excel, cloud platforms), which is great in complex enterprise environments. Review collected by and hosted on G2.com.

One common challenge is the cost. Tableau licensing (especially for Creator and Server) can get quite expensive, particularly for large teams. This can be a barrier compared to tools like Power BI, which are often more budget-friendly for enterprise-wide adoption.

From a usability standpoint, performance can degrade with large or poorly optimized dashboards, especially when there are many filters, joins, or live connections involved. This sometimes forces users to spend extra time optimizing extracts and design. Review collected by and hosted on G2.com.

It is seamlessly integrated into the Supply Chain Product (TMS and LCT by Blue Yonder) It is easy to configure reports by using the backend tables of TMS. Many consultants are also familiar with Tableau so it is easy to explain the reporting capabilities to them. Review collected by and hosted on G2.com.

Look up works well for 2 tables but when i have to write a nested query like looking up value in one table, but displaying the result by referring to two or more tables, then it becomes cumbersome. Also we need to buy separate license for using Tableau on our server. Review collected by and hosted on G2.com.