We compared Tableau and MicroStrategy across several parameters based on our users' reviews. After reading all of the collected data, you can find our conclusion below.
Based on the user feedback summaries, Tableau is preferred over MicroStrategy due to its superior data visualization capabilities, user-friendly interface, and strong customer service and support. Users highly value Tableau's ease of use, powerful data analysis capabilities, and ability to handle large datasets. They also appreciate Tableau's prompt and efficient support team. Additionally, the favorable pricing and positive return on investment from Tableau make it a preferred choice. On the other hand, MicroStrategy could benefit from improvements in areas such as scalability, user interface design, collaboration features, and expanded functionality.
Initial Setup: When comparing user reviews, it is evident that there are differences between Tableau and MicroStrategy in terms of the duration required for deployment, setup, and implementation phases. Some Tableau users spent separate timeframes on deployment and setup, while in MicroStrategy, these terms likely refer to the same period.
Features: Tableau is praised for its ease of use, interactive dashboards, and storytelling functionality. Meanwhile, MicroStrategy stands out for its intuitive interface, powerful visualization tools, and seamless integration with other systems.
Room For Improvement: Tableau's room for improvement lies in enhancing data visualization capabilities and offering more advanced data analysis features. Users also request improvements in customization options and menu navigation, as well as better support and documentation for beginners. On the other hand, MicroStrategy could benefit from enhancements in scalability and performance, especially with larger datasets. Users also suggest improving the user interface for a more intuitive and user-friendly design, and expanding collaboration features and data visualization options.
Pricing and ROI: Comparing the setup costs, Tableau has reasonable and efficient implementation process. MicroStrategy also offers reasonable setup costs with flexible licensing arrangements according to user experiences. In comparing the ROI between Tableau and MicroStrategy, Tableau users reported significant impact in terms of return on investment. They praised its valuable insights, data visualizations, and user-friendly interface. MicroStrategy users also found the ROI to be positive and satisfactory, with improved data analysis and decision-making capabilities.
Customer Service: Tableau's customer service is highly praised for its exceptional assistance, promptness, expertise in troubleshooting, and effectiveness in providing solutions. MicroStrategy's customer service is commended for efficient assistance, prompt response, knowledgeable staff, and proactive issue resolution. Customers highly regard both companies' customer service.
The summary above is based on interviews we conducted recently with Tableau and MicroStrategy users. To access the review's full transcripts, download our report.
"We pretty much use the knowledge base. We feel that Microstrategy's community is a good forum to use."
"It has the potential to become a great evangelist for AI and other embedded analytics."
"The dashboard features and functionalities that come through the MicroStrategy Suite are the most valuable. It can be used by end users with minimum knowledge of the product. They can run a report or create a dashboard on their phones, which is kind of cool."
"It plays a vital role in establishing a connection with predictive continuous improvement."
"The drill-down functionality is also very good."
"The data governance leads people to trust the data that they have, and they know where to get it."
"I have shown our users how to stop using Excel. They would create these vast Excel files, and I showed them how to do the same thing with MicroStrategy, which saves a significant amount of time for them everyday."
"Visual Insights (VI)"
"It is a complete solution allowing a lot of integrations, different graphics, multiple operations and analyzes our date and gives us meaning from it."
"This solution has improved insights into quantitative data."
"I like the calculation feature. I would not say it's such a good feature in Tableau, but if you have the knowledge, you can make that feature visible to everyone. It's not a feature that we can drag and drop and get the information. But whatever the data, whatever the calculation, I'm able to do. It's basically the knowledge base. Whatever knowledge I have, I can make that information public and publish it for management."
"When compared with Power BI, Tableau is much easier."
"It's very easy to visualize data with this product. The visualization maps of and frames that we have been able to cross-reference has been excellent."
"The data blending capabilities is a huge factor for our team."
"The product’s performance is better than other tools."
"The data visualization piece is most valuable. We do ad-hoc analysis or one-time shot things, but there are things that we have to track every single day. When our management and our customers want to see how things are changing, the dashboarding provides that information. Tableau is key in providing that data on a refresh basis. We use a data blending tool that pumps the data into Tableau, and we just schedule it to run every single day. So, the automation of the data and being able to present it to people who are interested are the most valuable features."
"The problem is the way that their metrics are designed. It can be difficult to understand what you're actually looking at. Then when you're comparing a document against the VI, you can't actually do that properly. So there are components, and there is a huge learning curve in the Enterprise Manager space. I think it would benefit them greatly if they were to exercise a significant amount of research and development in that space."
"We did have issues with stability, and that was because we were co-located with another business unit, and we outgrew them on the unit. So we had to get to a separate physical instance."
"We have the mobile server. We have not used it. That is because the people on our team have not been trained on it yet, but that is something that we want to do."
"Sometimes, it has become too complex to upgrade and adjust to the ecosystem."
"Needs more visual essence and connectors for the ecosystems, which would be easy to use."
"We would really like to see MicroStrategy have some support teams based more in Europe, because for now it seems that there is one person for the whole CE region. That is not exactly what we would like to see. We do know that MicroStrategy supports most places, either in the US or India, but those are different time zones, people, and cultures."
"There needs to be better visualization."
"I don't think that they will, but I'd like to see parallel processing, scalable parallel processing."
"To be the best in the market, Tableau has to improve its user interface and also look into developing implementing the best machine learning algorithms."
"There's no mature ETL tool in Tableau, which is quite a negative for them."
"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."
"Lacks machine learning algorithms that you can implement using R, SPSS Modeler, and Python."
"The development part should be better. We are putting a lot of effort in during development, so if we face any struggles, we have to find workaround solutions on the internet."
"The architecture should be improved to better handle the data."
"At the organizational level, increasing the servers' capabilities to support us as an enterprise tool."
"I would like to be able to set the parameters in a more specific manner."
MicroStrategy is ranked 4th in Embedded BI with 155 reviews while Tableau is ranked 1st in Embedded BI with 290 reviews. MicroStrategy is rated 8.2, while Tableau is rated 8.4. The top reviewer of MicroStrategy writes "A robust solution for powerful data analytics". 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". MicroStrategy is most compared with Microsoft Power BI, SAP BusinessObjects Business Intelligence Platform, IBM Cognos, Qlik Sense and Oracle OBIEE, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and Looker. See our MicroStrategy vs. Tableau report.
See our list of best Embedded BI vendors and best BI (Business Intelligence) Tools vendors.
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