We performed a comparison between MySQL and Tableau based on real PeerSpot user reviews.
Find out what your peers are saying about Oracle, PostgreSQL, MariaDB and others in Open Source Databases."MySQL is easy to use, has fast performance, and it is comfortable for end-user to use. The schema level and structure we are using are very simple and easy to understand. Additionally, packaging tool development is straightforward and the data is presented in a way that is very simple to understand."
"It's a good tool, a good database platform."
"The solution helps us perform with our databases and extract data."
"For starters, it's free, which is always nice, and it's also pretty straightforward to use. It's a nice conventional database."
"Support for enterprise-grade features like clustering, master-slave replication, even Sharding (to some extent) which is an advanced feature."
"For sure, the solution is very stable."
"MySQL is easy and convenient for me. I don't need to rely on anyone. I can write the code and extract the information. It is fast if you know how to use it. The solution is not expensive, and most of the developers know how to use it. It is easy to create tables. The solution is stable and has good performance. The connection with AWS gives regular updates, which is manual otherwise and a nightmare."
"My main reason for using MySQL for this small customer database company and for some kinds of scientific projects was that I had to do the installation myself. I didn't have a database administration team behind me. Therefore, I was looking for something very easy to handle. MySQL is easy to install, connect, and do all such things."
"It is a stable solution."
"Easy for beginners to use"
"Tableau's initial setup was straightforward."
"The use of a storyboard helps the flow of the data visualisation."
"It is a complete solution allowing a lot of integrations, different graphics, multiple operations and analyzes our date and gives us meaning from it."
"The solution has a lot of customization when comparing to Microsoft BI."
"We frequently utilize visualizations using maps and different objects, all with rich coloring options. And tooltips are absolutely essential for us. Tooltips, like the pop-up descriptions when you hover over some object or graph. Those tooltips in Tableau are great features."
"Tableau is easy to use and it has great predictive features."
"The licensing of the solution is on the expensive side."
"We have encountered some performance issues, and the solution takes time for performing complex queries."
"MySQL tutorials and guides could be improved. Often they are too complex for someone with no database experience to understand."
"The solution could be more secure."
"It should have some code analytical functions. It can also have a monitoring tool."
"It is not as powerful as SQL Server. It can be more powerful. It is not scalable and has certain limitations, which is not the case with SQL Server."
"While utilizing a comparable algorithm, is noted to be sensitive, especially when configuring the inner device."
"The solution is expensive."
"The Hyper Extract functionality is not as strong as that provided by Microsoft SQL."
"The cost of owning the solutions from Tableau is much higher compared to any other analytical solutions."
"I am a BI consultant. I have worked on different reporting tools, such as Power BI and MicroStrategy. As compared to other tools, Tableau lags behind in handling huge enterprise-level data in terms of robust security and the single integrated metadata concept. When we connect to large or very big databases, then performance-wise, I sometimes found Tableau a little bit slow. It can have the single metadata concept like other tools for the reusability of the objects in multiple reports."
"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."
"With performance tuning, it generates a pretty complex query when it is not required."
"It will be good if the server, could be more stable, and I would like to have the technical service to be more reliable."
"Implementation requires a technical background."
"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."
MySQL is ranked 1st in Open Source Databases with 142 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 290 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 SQL Server, 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.
