Tableau Reviews & Product Details

Visualization are easy to make, using calculated field and LOD operations make sure that we generate every granular details of the data. For beginers also, it is easy drag and drop pills which makes it user friendly. Review collected by and hosted on G2.com.

Sometimes we struggle in connecting with very large database and it is slow compared to other BI tools in industry when you use it with very large datasets, mainly when you have lot of textual information, thematic analysis etc. Review collected by and hosted on G2.com.

What I like most about Tableau is how intuitive and visually engaging it is. Even with limited use, I found it relatively easy to create clear and interactive dashboards. The drag-and-drop interface makes it accessible for users without a strong technical background, and the ability to quickly turn data into meaningful visual insights is impressive. It also offers a wide range of customisation options, which seems powerful for deeper analysis. Review collected by and hosted on G2.com.

One downside I have noticed is that while Tableau is easy to get started with, some of the more advanced features can feel complex and take time to learn. Additionally, performance can slow down when working with larger datasets, and certain customisations aren’t always as straightforward as expected. Review collected by and hosted on G2.com.

What I like most about Tableau is how easily it converts raw data into clear, interactive dashboards. In my role, I use it to track KPIs like sales performance, team productivity, and training outcomes, especially during weekly and monthly business reviews.

The drag-and-drop interface makes it easy to build dashboards, and I can quickly connect data from sources like Excel to start visualizing trends. For example, I use it to monitor conversion rates and team performance, which helps in identifying gaps and making data-driven decisions.

It has significantly reduced the time spent on manual reporting compared to Excel, and the dashboards make it much easier to present insights to stakeholders in a way that’s easy to understand and act on. Review collected by and hosted on G2.com.

One challenge I’ve faced with Tableau is the learning curve, especially when working with calculated fields and more advanced dashboard features. It takes some time to get comfortable, particularly when building more complex dashboards from scratch.

In terms of performance, I’ve noticed that it can slow down when working with larger datasets or dashboards with multiple visualizations and filters. This can impact responsiveness during analysis or while presenting dashboards in review meetings.

Additionally, the licensing cost can be on the higher side, especially when scaling usage across teams. Review collected by and hosted on G2.com.

Tablue is how it turns intimidation meddy data into something actually beautiful and intuitive. It not just about charts it about the moment when a complex trend suddenly clicks because of a clean dashboard. The drag and drop interface feels natural like you're having a real time conversation with you data rather than fighting with code. and the cmmunity is incrediable there always someone sharing creative way to visualize a though problem. Review collected by and hosted on G2.com.

the learning curve can be pretty steep once you move past basic charts. Calculations and "Level of Details" expression ofetn feel needlessly complex compared to quick Excel formula. Its aslo quite expensive for individuals and the performance can sluggishly crawl if you're dealing with massive dataset without a perfectly optimized extract. Sometimes it feels more like a puzzle than a tool. Review collected by and hosted on G2.com.

The drag-and-drop feature and AI-enabled analysis are the aspects that add the most value to Tableau by helping me generate dashboards from large amounts of data in a few minutes. Two years' worth of daily experience in using the tool with live data integration from different sources have streamlined my work process significantly. Review collected by and hosted on G2.com.

While advanced features such as LOD and table calculations take time to learn, consuming several days even after two years of professional use, performance slows when using live connections with unextracted datasets, and the price is relatively high without any available alternatives other than extracting and optimizing. Review collected by and hosted on G2.com.

Tableau's drag-and-drop interface is intuitive enough for business users while still being powerful for analysts. It integrates seamlessly with a wide range of data sources — from SQL databases to cloud platforms — which makes it easy to pull in data without heavy engineering support. Performance on large datasets is generally strong, and the visualizations are polished enough to use directly in executive presentations without extra formatting. Review collected by and hosted on G2.com.

Pricing is a significant barrier, Tableau's licensing costs can be hard to justify for smaller teams or organizations still building out their data culture. The onboarding curve is steeper than it looks; while the basics are accessible, mastering calculated fields and LOD expressions takes real time. Support resources are decent but can feel generic. Native AI/ML features are still catching up to competitors, and embedding Tableau into external tools requires more technical lift than it should. Review collected by and hosted on G2.com.

what i love most about tableau is that it is a very versatile tool and we can create complex and various types of charts. it can be connected to various data sources and has great compatibility with different systems as well.. tableau also is very easy to use with AI tools such as snowflake cortex and mcp. there are various platforms to solve our questions and a huge support from other users. its performance is very good as we can use data source filters for faster results. its interface is also very easy to use. Review collected by and hosted on G2.com.

the one thing i struggle is to create dashboard layouts as it requires a plan in advance to build dashboards. makes it slightly time consuming Review collected by and hosted on G2.com.

I really like how efficiently Tableau helps me transfer raw data into meaningful visual insights. The drag-and-drop interface makes it easy to build dashboards quickly, saving a lot of time when preparing reports. I especially value its ability to connect to multiple data sources and create interactive visualizations, which allows me to monitor key metrics and present clear, data-driven insights to stakeholders. It simplifies the process of building dashboards without needing complex configuration or coding. Tableau makes it easy to create charts and modify visualizations, speeding up my reporting process. Connecting to multiple data sources like Excel files, datasets, and cloud platforms enables me to effectively analyze information and generate comprehensive insights that support better decision making. Review collected by and hosted on G2.com.

While Tableau is a powerful analytics platform, there are a few areas that could be improved. The licensing cost can be relatively high, especially for smaller teams. When working with large data sets, dashboard performance can sometimes slow down and require optimization. Improving collaboration features and simplifying some advanced calculations would also make the platform even more convenient for everyday users. Review collected by and hosted on G2.com.

Tableau's drag-and-drop interface makes complex data visualisation accessible to everyone. Its "Show Me" tool simplifies chart selection, while seamless connections to diverse data sources and a massive community library help users build professional, high-speed dashboards without needing to write code. Tableau offers ease of implementation with quick setup, strong customer support, and frequent use across teams. Its drag-and-drop interface and "Show Me" tool simplify visualization, while seamless data connections and a supportive community help users create professional dashboards efficiently. Review collected by and hosted on G2.com.

Tableau's high licensing costs and steep learning curve for complex calculations are major drawbacks. Ease of implementation suffers with messy data, and while customer support is solid, frequent use reveals rigid formatting options and performance lags on unoptimized, large datasets. Review collected by and hosted on G2.com.

Ability to work with large volumes of data.

Quickness of data visualization.

Large amount of connectors to hook up to plethora of data sources. Review collected by and hosted on G2.com.

Almost nothing added in terms of visualizations over the couple of last years.

Sankey? What's that?

Proper, large table utilization? Nope!

There are some very large hoops, workarounds etc. to get some simple stuff working.

Some competitive software (like Qlik) either started to include those years ago, or offer community plugins to take care of that. I have honestly didn;t see a lot of changes happen since I started using Tableau like 7 years ago. Back then, it was revolutionary. Right now it feels almost outdated. Review collected by and hosted on G2.com.