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 of this solution is the user interface."
"It is fine for basic reporting."
"The solution is simple to implement."
"The solution's most valuable feature is its flexibility to visualize certain logs."
"Amazon QuickSight can provide insights from the available data. It supports various rule types. We get the options of machine learning and insights, which are not available in other intelligence tools. It is easier to use, more stable, and cheaper than other solutions."
"The most valuable feature of Amazon QuickSight is its connectivity with other Amazon services."
"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."
"It's very user-friendly. It's not like Power BI, Tableau is very user-friendly. Anybody can use Tableau. It's very easy to adopt things. I can visualize the stats."
"It is definitely easy to use. It is intuitive, and more or less, everything can be done from the front end. As such, there is no concept of metadata. You can just take data from a database and start building your own stuff, such as OLAP data warehouse. You don't need extensive metadata modeling like Oracle BI."
"The feature that is currently most valuable is the import feature where I can link to an Excel data source. I'm not using it with any other data source, such as SQL Server. I directly link it to an Excel sheet, and if I change anything in that Excel sheet, the changed data immediately gets reflected in the virtualization. This is something that is very convenient for me as of now."
"One of the most valuable features is that the solution allows users to build interactive dashboards. This allows the end user to modify the criteria or the filtering if need be. As far as for my personal use as a QA Engineer, I really value how extensive their API document support has been."
"While using this solution I have found the valuable features to be ease of use and the visualization. It is a complete solution."
"The most valuable feature is the richness of its visualization and from a self-service standpoint, the ease of use."
"It most valuable feature is its ease of developing visualizations, not just charts and graphs."
"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."
"The product is quite expensive because the price is too close to QlikView's prices but it does not ring as well as QlikView."
"It can be made more user-friendly as some users might find this solution hard to implement. Qlik Sense, for example, is very user-friendly."
"The solution must be more user-friendly."
"Amazon QuickSight has minimal features. The feature set can be improved to allow you to create good production-ready dashboards. This does not happen with QuickSite, it needs to mature to be used in production."
"One area is that integrating data from different sources into QuickSight can be a bit tricky, especially with Amazon Connect. To get data flowing, you need to use two additional services and configure them correctly."
"There should be better connectors for different data sets."
"The product has some storage and SPICE data issues."
"Right now, you can't use Amazon QuickSight on other cloud providers, so I'd like it to have availability on other cloud providers. This is an area for improvement in the product. What I'd like to see in Amazon QuickSight in the future is a distributed centralized system where I can manage all reports in one place, and for Amazon QuickSight to become reporting as a service."
"Tableau's automatic insight could be improved. It has some predefined capabilities to understand the data, but I think they need more. Customers need more insight automatically from data—they don't want to discover them, they want to get the forecast automatically. The data preparation should also be improved because it's not easy. Tableau tries to focus on the business side, but the backend side has not improved much. They also have an ETS solution, but it's limited."
"The extraction, transformation and loading of data in Tableau takes a lot of time and we do not have confidence that Tableau is showing all the data we need."
"The solution does have scalability issues."
"Improvements can be made in template support. The workbook file structure is really hard to version control. If there was some sort of version control support offered particularly for workbooks, that would help big time."
"Firstly, the high cost of Tableau licenses makes it inaccessible for many mid-scale clients. Secondly, the server requires at least 128GB of RAM, which can be impractical for some systems. We need a dedicated system to use Tableau."
"Include forecasting on table calculation fields."
"Its integration with Microsoft products such as Teams should be improved."
"The interface can be improved, in part because there is no indication that something is running or that it's processing."
Amazon QuickSight is ranked 4th in BI (Business Intelligence) Tools with 24 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 293 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.
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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.