We performed a comparison between Amazon QuickSight and Tableau based on our users’ reviews in four categories. After reading the collected data, you can find our conclusion below.
Comparison Results: Tableau wins out in this comparison because users feel it is easy to use, provides intuitive reporting, and has outstanding features. Many users feel Amazon QuickSight is a very simple tool with limited features. They say its visualization offering is too basic. It also has minimal functionality and lacks a solid security protocol.
"The query and dashboard capabilities are entirely good."
"The most valuable feature I have found is the low-level securities are very easy to use."
"The most valuable feature of Amazon QuickSight is its connectivity with other Amazon services."
"It helped the managers to visualize the data activities."
"The ease with which it integrates with different data sources is most valuable. Especially when everything is on AWS, it is easy to connect to the data source and organize different dashboards."
"I like that with Amazon QuickSight, you don't need to install an app to use its services. With other BI tools, you need to install the app, so Amazon QuickSight is better for me in this area."
"The graph charts, pie charts, and box plots are valuable."
"Easily able to connect with our other services and easy to manage."
"From the data science point of view, we use it for model building purposes. For example, if we are using it for a bank and we want to understand how much loan the bank can provide, we can use visualization to show the educational qualification, salary, gender, and city of a customer, and by using this information, we can arrive at the loan amount that this person is eligible for. I can also use it to view all prospective customers, so essentially, this is going to help me in model building as well as in understanding and segmenting customers and doing forecasting and predictive analytics. We use model widgets, and we can create thousands of visualizations, such as motion charts and bubble charts. We can also create animated versions of the graphs and view the data from multiple dimensions. These are the features that we typically use and like."
"Very user friendly."
"Tableau is very flexible and easy to learn. It has drag-and-drop function analytics, and its design is very good. It is a very good tool, and it basically brings life into data with good design. We have been creating a lot of interactive visualizations and dashboards. It has a public version. There are public communities from where you can get a lot of examples for practice."
"The solution has great features which nobody can beat, you can do a lot of customizations, such as use different dimensions and colorize them. Additionally, you can use the numeric values for the customization, which is an exceptional feature."
"The most important feature is the tool is very easy to use. This makes it simple to introduce it to CxOs. After a rapid demo, they are usual impressed by the results shown, because it has such a rare simplicity."
"It's a very good, flexible product, and it's easy to learn."
"The product’s performance is better than other tools."
"Visualization attributes: Marks – Color, Size, Label, etc.. Easily Accessible and Intuitive."
"One area where Amazon QuickSight could improve is its formatting features for dashboards."
"An area for improvement in Amazon QuickSight is storage. Data cleanup also needs improvement because I'm experiencing errors when cleaning the data. Amazon QuickSight needs video tutorials showing its different functions and purposes."
"Compared to Power BI, I felt QuickSight lacks some features, like delayed drill-downs. Drill-downs were the main area where we found QuickSight lacking."
"The number of features in the product is limited in comparison with the other tools in the market, like Power BI."
"Amazon QuickSight's visualization could be improved."
"They could provide more options for graphics and other features."
"Lacked connectivity with other third-party tools and data sources."
"There is room for improvement in terms of the number of visualizations and dashboards that are available."
"The architecture should be improved to better handle the data."
"Formatting controls could use some improvement."
"When there are millions of records, scaling up is quite difficult."
"There are not enough language options. It needs to be offered in more than just English."
"It's not an aesthetic platform at the moment."
"Maybe the price could be a bit cheaper, especially if you're a personal developer that uses Tableau just to explore smaller data sets and you're not a company or something like that."
"With performance tuning, it generates a pretty complex query when it is not required."
"An advanced type of visualization is a bit tricky to create. It has something called a Calculated field, and that sometimes gets a bit difficult to use when you want to create an advanced type of visualization."
Amazon QuickSight is ranked 4th in BI (Business Intelligence) Tools with 24 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 292 reviews. Amazon QuickSight is rated 6.8, while Tableau is rated 8.4. The top reviewer of Amazon QuickSight writes "Useful for developing dashboards for various lines of business". On the other hand, the top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". Amazon QuickSight is most compared with Microsoft Power BI, Looker, Google Data Studio, Qlik Sense and IBM Cognos, whereas Tableau is most compared with Microsoft Power BI, Domo, SAS Visual Analytics, Databricks and SAP Analytics Cloud. See our Amazon QuickSight vs. Tableau report.
See our list of best BI (Business Intelligence) Tools vendors.
We monitor all BI (Business Intelligence) Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
