We performed a comparison between MySQL and Tableau based on real PeerSpot user reviews.
Find out what your peers are saying about Oracle, PostgreSQL, Firebird and others in Open Source Databases."It's a mature solution that's been around for decades."
"The solution is very simple. It's easy to use. That's the most important feature."
"The easy access to the data and the ability to sort the data with multiple methods are very valuable features."
"The most valuable features are that it's free and the documentation is good."
"MySQL has cross-platform support for multiple operating systems. The backups on a Linux machine can be restored on a Windows machine, and vice versa."
"I like the simplistic view of MySQL to build custom queries and things like that as compared to SQL Server, which seems more cluttered. SQL Server has a query analyzer. MySQL pretty much does the same, and performance-wise, it has less overhead for connecting to our ERP system. It seems more responsive and cleaner. With MySQL, you get what you need without any overbloating, for which Microsoft is known. That's why they have so many constant security patches for everything because there is so much stuff, which degrades performance."
"The one interesting thing about this product is that it is open source. It comes from an open source product. MySQL has been positioned as open source, but it also provides support."
"The most valuable feature of MySQL is its reliability and performance."
"Data Interpreter: Which can identify issues or potential errors with your imported data."
"The solution deployment was straightforward."
"A valuable feature of Tableau is that it is a useful tool for small setups. I shuffle between Tableau and MicroStrategy, so I use Tableau for personal purposes more than enterprise. I like the light version of Tableau for personal usage and doing some use cases on my own. When it comes to something small, I use Tableau for setups, rather than any other tool."
"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."
"The ability of filtering and segmentation of the data makes it very flexible compared to other tools."
"Tableau is easy to use and it has great predictive features."
"The solution allows for the possibility for end-users to do their own reporting."
"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 documentation is pretty weak and should be improved."
"While utilizing a comparable algorithm, is noted to be sensitive, especially when configuring the inner device."
"The solution could be more secure."
"MySQL needs improvements on its diagnostic features."
"There are some issues with compatibility with Java environments that need to be improved. When Oracle bought this solution there were some driver changes that caused some issues with operations."
"The workbench could be improved. In particular, error messages can be improved, which are horrific and completely unhelpful. I'd like to see improved parsing of errors. When you write SQL and it crashes, it usually is something completely irrelevant and not helpful. I've started to use GPT 3.5 for finding out how to do things. I got to do something a bit different, and that I found to be very useful. If there was some way to tie it into one of the new AI tools, that would probably be a good idea."
"The integration with other systems can be improved as can the integration between other databases."
"It could be a little bit simpler to use."
"Include forecasting on table calculation fields."
"I would like to be able to set the parameters in a more specific manner."
"Lacks machine learning algorithms that you can implement using R, SPSS Modeler, and Python."
"Overall, the only major frustration that I have had so far is with Tableau Public. I first used Tableau Public when I was building capacity, and when there was a later release to download and you wanted to upgrade, all your work would have to be manually re-entered."
"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."
"From a downside perspective, some of the more advanced modeling techniques are actually fairly difficult to do. In addition, I just fundamentally disagree with the way you have to implement them because you can get incorrect answers in some cases."
"When we put more information on a single screen, it gets compressed and superimposed in many places while scrolling."
"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."
MySQL is ranked 1st in Open Source Databases with 142 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 293 reviews. MySQL is rated 8.2, while Tableau is rated 8.4. The top reviewer of MySQL writes "Good beginner base but it should have better support for backups". 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". MySQL is most compared with Firebird SQL, PostgreSQL, MariaDB, Teradata and SAP HANA, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and Databricks.
We monitor all Open Source Databases 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.