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."MySQL is a popular database platform for businesses because it is extremely easy to use."
"It is easy to use. It is simple to implement, which makes it suitable for our projects because we have deadlines. MySQL is also open-source, which is another plus point."
"I like MySQL because of its community."
"I am totally satisfied with MySQL."
"It is easy to use."
"MySQL is an open-source product and has good community support. If you encounter any problem, you can easily ask other members of the community to help. They help you a lot. On top of being free, MySQL is a cross-platform database, meaning it can work on both Windows and Linux. It is very good for us."
"This specific version of this MySQL has been battle tested for a long time. Any issues are known issues and we pretty much don't have any problems when they're in production. So it's very stable."
"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 features of the solution are the permission management and the user management."
"The ease of presenting findings is very helpful."
"The solution has a lot of customization when comparing to Microsoft BI."
"The most valuable feature is the geographic data analysis."
"The solution offers very good reporting."
"The most valuable features are data discovery and fine visualizations."
"Tableau's initial setup was straightforward."
"I have found many of the self-service features valuable."
"Even for the best database, we always want the database to perform much better, so we wish MySQL would be much better, in terms of performance."
"MySQL's performance requires attention. For optimal performance, one should review and sometimes revise the code, particularly when using server-side scripting."
"At times, the autoscaling does not happen when there is a surge in load."
"MySQL doesn't have the auto-clustering and database clustering features that other competitors provide. They can include these features."
"The GUI could improve in MySQL."
"The performance, stability, and security are areas with shortcomings in MySQL, where improvements are required."
"The licensing cost of the solution is expensive, which MySQL needs to consider improving."
"Security is a concern. MySQL could have better security features."
"It is not so great when it comes to data exchange/integration, data mining, etc."
"I would like to have the product be more flexible in terms of creating online shared dashboards."
"Reports should be downloadable as PDF files."
"Creating empty extracts is not easy."
"The solution does have scalability issues."
"The use of this service in the desktop version is annoying due to the constant updates which lead to reinstalling the application. If they could give support with updates on the same downloaded version, it would be great."
"The setup was easy but we are having some problems with the configuration that is taking a long time. We have done some initial tests and some of the delays could be from bandwidth issues. However, the whole installation process should be simplified."
"Provide additional enhancements in any business process: Operations, Marketing and Sales, Finance, Human Resources, Logistics, etc."
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 and Teradata, whereas Tableau is most compared with Microsoft Power BI, Domo, Amazon QuickSight, 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.