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Introduction to MySQL
MySQL is the RDBMS(Relational Database Management System) based database system, which is made up of rows and columns. MySQL is an open-source database freely available for everyone to use. MySQL can be used for OLTP and OLAP use cases. SQL(Structured Query Language) is used to deal with the MySQL database.
MySQL Analytics Tools
Data analytics is more important than the available raw data for a business or management person to make decisions or define future business strategies.
In data visualization, we can depict data in figures, charts, bars, and graphs.
So here MySQL analytics tools come into action, there are a bunch of analytics and visualization tools available for free and paid license basis.
Here is a list mentioning a few of the MySQL analytics tools:
- Power BI
- Tableau
- Ubiq
Hevo offers a faster way to move data from databases or SaaS applications into your data warehouse to be visualized in a BI tool. Hevo is fully automated and hence does not require you to code.
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Download the Guide on How to Set Up a Data Analytics Stack
Learn how to build a self-service data analytics stack for your use case.
1. Power BI
Power BI is Microsoft’s Data Visualization tool used to convert data from various sources to interactive dashboards. Power BI has a bunch of connectors to connect with data sources for visualization.
To create a dashboard will need below two products of Power BI:
- Power BI Desktop – to create dashboards
- Power BI Service- to analyze and view the reports
Steps to connect and create dashboard in Power BI
Step-1: Connect to BigQuery.
File menu -> Get Data -> Database -> MySQL database
Step-2: Select the MySQL table or view.
Get data -> MySQL -> Select Database -> Schema -> Table or View -> Load
Step-3: Select the required visualizations and fields from the source table for analytics purposes.
Pros of Power BI
- Can work for an extensive amount of data preparation
- Report preview is available for mobile devices
Cons Of Power BI
- The premium model is required to share the report
- Does not support Mac and Linux for report creation
2. Tableau
Tableau is the world’s most popular analytical and visualization platform, tableau helps to visualize and explore the data. Tableau is available in both free and paid versions.
Tableau is the world’s most popular analytical and visualization platform, tableau helps to visualize and explore the data. Tableau is available in both free and paid versions.
Steps to create an analytical dashboard using MySQL
Step-1: Connect to the MySQL database.
Click on Connect data -> MySQL -> Enter Database details ->Sign IN
Step-2: From the database select Cdata.
Step-3: Select the required figures, graphs, charts, and arrange them accordingly.
Advantages of Tableau
- High Performance
- Dashboards are mobile-friendly
- Upgradation is very easy
- Easy to use
Disadvantages of Tableau
- Versioning is poor
- Auto Refresh to report is not available.
- SQL knowledge is a must
- Manual efforts required
3. Ubiq
Ubiq is a web-based analytics tool used to create dashboards and visualization reports. We can easily create reports such as any system performance monitoring, sales data, drill-down or drill-through reports.
Steps to create a report using Ubiq
Step-1: Download the connection client and install, select for the remote or local database.
Step-2: Now add a database to select data.
Step-3: Once you add the database will redirect to the project page, create the project and start building the reports.
Conclusion
There many more MySQL analytics tools are available and each one has its own advantages and disadvantages. So based on the use case we can choose the best fit tool for analysis purposes.
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Hevo is a No-code data pipeline. It has pre-built integrations with 100+ sources. You can connect your SaaS platforms, databases, etc. to any data warehouse of your choice, without writing any code or worrying about maintenance. Interested in trying Hevo? Sign Up for the 14-day free trial.
No-code Data Pipeline for MySQL