"It's pretty easy to set up the product."
"We are able to collaborate on things and get insightful data visualizations."
"In the process of using data there is the Extract, Transform and Load (ETL). For extracting we are using another software, for transforming we are using our own coding in C#, and then we use Microsoft BI for loading the information. Microsoft BI displays information very well."
"In my experience the scalability is good. You are able to increase users and add more data."
"The product is easy to use and simple to navigate."
"I like how the Query Editor lets me manipulate the data, and the available visuals are good. You can do everything using the UI."
"Technical support has been great."
"It has provided customer purchase patterns and great visualization."
"The most valuable features are the visualizations, the way they show the combination charts."
"Tableau is easy to use compared to some other solutions, such as Excel."
"It is very easy to implement and to use."
"The solution has a lot of customization when comparing to Microsoft BI."
"I have found many of the self-service features valuable."
"Its ease of use and ability to convert drag and drop gestures into queries."
"I really like the interactivity of the dashboards."
"I have found the solution easy to use and the interface is very good."
"There could be an integrated AI that can automatically analyze some of your data and highlight or provide suggestions. For example, when you are looking at a data set, it can suggest putting it into a certain type of chart so that you gain different insights or a trend line. You would almost have templates that it would recommend for you."
"It should be more scalable for an enterprise-level implementation. When you deploy large data sets, the response has to be faster in Power BI. This is one thing that needs to be improved in it."
"Real-time updating needs improvement."
"Some kind of expression wizard, where the user can build a complex expression without any knowledge of DAX, can be a good addition to the product."
"Their technical support can be better. They normally take too long to escalate and resolve a case."
"The admin view could be improved by making it more simplified to manage a users' activity and other things."
"Power BI's administration could use some work, and the user experience needs to improve because it is a client-based tool. If you want to generate a model or report, you need to use client tools, but client tools are limited for end-users who don't have enough hardware. For example, maybe a client lacks enough memory or CPU power for report generators. If you use a model that requires a massive amount of data, your client will face several problems."
"The formatting template could be improved."
"If you wanted to create something without making it an extra column in the data set, you can't just rename it to a more user-friendly short name."
"I have noticed that Tableau is not very compatible with ClickHouse. There's no direct connection to ClickHouse; you have to set up an ODBC connection."
"When compared to Power BI, it is less user-friendly."
"We have products like Tableau, Power BI, Cognos, and QlikView in the data visualization segment. Compared to those, Tableau is quite costly."
"The data processing in Tableau is pathetic compared to Qlik."
"Requires a lot of user training."
"I have used Power BI as well as Tableau. There are a couple of interesting features that I like in Power BI, but they are not present in Tableau. For example, in Power BI, if I am looking at country-wise population, I can type and ask for the country that has the maximum population, and it will automatically give an answer and address that query. This kind of feature is not there in Tableau. Similarly, in Power BI, for integrating with the latest ML algorithms, we have decision trees and primarily multiple machine learning algorithms. The decision tree essentially visualizes the patterns in the data. We don't have such a feature in Tableau. If Tableau can integrate with the machine learning algorithms and help us to do visualizations, it would be a wonderful combination. Most of the people are going for Tableau primarily for visualization purposes. However, in the data science industry, users want to do model building as well as tell a story. As of now, Tableau is fulfilling the requirements for visualization purposes. If they can bring it up to a level where I can use it for machine learning purposes as well as for visualization, it would be very helpful. Many people who want to do data science don't want to write a code. Tableau is anyway a drag and drop tool, and if they can provide those options as well, it will be a powerful combination."
"Areas for improvement would be visualization and augmented analytics. In the next release, I would like to see automated insights from the data added to the dashboard."
Microsoft BI is a business intelligence solution that turns data into insightful and useful business information that is relevant to all levels of the business.
Microsoft BI combines familiar Microsoft tools - Office, SharePoint, and SQL server, with extra features for end-users, such as Power View and Power Pivot. This powerful product gives businesses a competitive advantage by allowing end-users to better analyze their data, collaborate and better present their data.
Tableau helps people and organizations become more data-driven as the trusted leader in analytics.
The Tableau platform provides the breadth and depth of capabilities to serve the needs of even the largest global enterprises in a seamless, integrated experience. Tableau is designed to fit, not dictate your data strategy, and adapts to your environment with unmatched flexibility and choice, while meeting the toughest governance and security requirements.
People love using Tableau because it is both powerful and intuitive—and offers a fundamentally different user experience by empowering people of all skill levels to explore and analyze data using visuals and natural language. Tableau has become the standard language of analytics for modern business users and continues to lead the industry with the most passionate and engaged user community in analytics, a customer base with millions of users at more than 80,000 organizations, and a deep commitment to customer-focused innovation
Microsoft BI is ranked 1st in Reporting Tools with 153 reviews while Tableau is ranked 2nd in Reporting Tools with 93 reviews. Microsoft BI is rated 8.0, while Tableau is rated 8.0. The top reviewer of Microsoft BI writes "A complete ecosystem with an builtin ETL tool, good integrations with python and R, and support of DAX and Power Query (M languages)". On the other hand, the top reviewer of Tableau writes "Lets me train new users quickly, easily, and intuitively". Microsoft BI is most compared with Oracle OBIEE, MicroStrategy, SAP BusinessObjects Business Intelligence Platform, Amazon QuickSight and IBM Cognos, whereas Tableau is most compared with SAP Analytics Cloud, MicroStrategy, ELK Kibana, Qlik Sense and Oracle OBIEE. See our Microsoft BI vs. Tableau report.
We monitor all Reporting 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.