WP-Optimize is another WordPress plugin used for database optimization. It cleans up the WordPress database effectively and automatically. You can install and activate this plugin from your WordPress dashboard.
It also has a list of options for removing unwanted revisions, comments, posts data, and transient options. Make your selection and click on the “Run all selected optimizations” button to initialize the process.
Summary
I discussed WordPress database optimization in detail and why it is important to run these cleanups every now and then. You have also learned two different methods of optimizing databases on WordPress. If you find this article useful or would like to add something, please share your feedback in the comments section below.
Frequently Asked Questions
Q: How Do I Optimize my WordPress Database?
You can optimize your WordPress database by accessing phpMyAdmin via your hosting provider. You will be required to log in to the cPanel, but if your hosting provider does not use a cPanel, look for the alternative MySQL management tool. You may then optimize your database from there. Also, you can use a WordPress database plugin to optimize your database easily.
Q: Is WordPress Good for Database?
Yes, WordPress is good for a database and uses MySQL as its database management system. MySQL is an open-source software used for creating a database and retrieving data when required.
Q: How Does WordPress Store Database Data?
WordPress stores database data in the form of tables. All the unique data is presented in rows in each table. WordPress automatically creates the tables by default as soon as you set up your website.
Q: How Do I Use WordPress to Create a Database?
You can use WordPress to create a database using Plesk, cPanel, phpMyAdmin, or MySQL client.
If you are a Cloudways user, you can create a database via phpMyAdmin by following the steps below:
- Access phpMyAdmin from Application Management.
- You will see the database management window.
- Click Create Table.
- Now set your preferences by either using the SQL commands or via the UI option.
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