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 have ramped up user adoption."
"Scalability is fantastic. It can go from a small operation up to a gigantic operation. "
"We are using it for operations analysis and sales data analysis."
"It's user-friendly, also the MTDI cube is a very good approach, as it helps you to use the pre-format instead of using the standard objects from the schema of MicroStrategy."
"The reporting, the dashboards, and the new visualization functions. It is very easy for users to understand their data and dashboards."
"In the past, when we had so many legacy systems, with Cognos and others, it was took multiple steps to get what we wanted. Now, it's a seamless integration. We can connect directly, in the form of In-Memory Cubes or live-publish cubes, to the data warehouse, and blend in the data with big data. Not only relational databases, but we can also integrate other third-party files, and create a single-source software."
"Has a great semantic layer."
"It is scalable and integration-friendly."
"Tableau has data relationships that can be applied to a data source which helps build out a directory which is helpful. Data blending has also been valuable to us."
"Tableau's visualization features let you present information insights quickly and practically. So it's something which I prefer with Tableau. In terms of reporting, I have to point out the sheer quality and function of the Tableau server, but the first impression is that it's a great visualization tool."
"I like Tableau's heat maps and the storyboard. You can create data stories and tons of visuals with it, and it goes together really well. Tableau lets you manipulate the data in various ways."
"I have found Tableau easy to use and the features are superb."
"Tableau is easy to use. That's the first and most important thing. I not only provide consulting but I also train people to use it, so with its ease-of-use it's not as difficult for me to train executives and management staff, because they don't have the IT background, unlike when I'm using Python."
"Its visualizations are good, and its features make the development process a little less time-consuming. It has an in-memory extract feature that allows us to extract data and keep it on the server, and then our users can use it quickly."
"Easy for beginners to use"
"The best use case for us is the solution's integration with Salesforce because we are also partners of Salesforce."
"They need to supply the support system that's just not there right now. They don't have Enterprise Manager classes. You need in-depth classes to understand what those metrics are doing, to understand the table associations from one to the other. You can't just go and pick it up and understand that DT_DAY connects to all of these tables, without going into Architect, looking at the source tables. I, as a analyst, a slightly technical user, I don't have the expertise to do that. Business users definitely don't have the expertise to do that."
"With Cube partition (v10.1 and above) scalability has not been an issue, but the Cube publish time, and temporary space consumption while the Cube is being published, has almost doubled during implementation of Cube partition."
"It needs row-level security, column-level security, on attributes. I want to be able to handle full-scale security model from the semantic layer, flat out."
"Getting our data to work with the tool is where we are having issues."
"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."
"MicroStrategy is not cloud native today and some of their APIs are a little limiting."
"We've found the scalability to be very good. However, it depends on the environment. In general, it could be much better."
"I would like to see more Writeback capabilities that would allow our IT department not to be worried about the wild, Wild West of Writeback."
"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."
"I also work as an SME on the platform side. Tableau is very nice and jazzy for the end-users, but there are pain points for the admins. Performance is something about which we hear a lot of complaints, such as the dashboard doesn't open in time. It performs well on the desktop but not on the server. I know that there is always a limitation when it comes to a huge amount of data or the complexity of the calculations, but we often hear from end-users about the performance on the server side. It is easy to drag and drop all the columns and do what we want, but if it is not going to load better on the server, users are not going to like it."
"At the organizational level, increasing the servers' capabilities to support us as an enterprise tool."
"The performance could be better."
"They need a write-back; that is what is missing. If they get the write back to the database, they will be fully automated, but for the time being, they are not."
"Provide additional enhancements in any business process: Operations, Marketing and Sales, Finance, Human Resources, Logistics, etc."
"There's no mature ETL tool in Tableau, which is quite a negative for them."
"The integration with other program languages, like Python, needs to be better."
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, IBM Cognos, SAP BusinessObjects Business Intelligence Platform, 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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