Database Storage Engine
Database storage engine is a mechanism employed by database management software that defines how it stores and handles data. Different DBMS have different approaches to working with underlying HDD files and memory. Technically, storage engines can be compared by the following parameters:
Handy Backup has a number of database backup plug-ins designed for safeguarding databases of different types. For example, the MySQL Backup plug-in can back up data from any MySQL storage engines including MyISAM, InnoDB and other. To learn about it, please refer to MySQL Backup.
Version 8.3.2, built on November 1, 2021. 112 MB
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Each storage engine used in a database must be chosen with regard to the application’s design. For example, non-transaction-safe engines, such as MyISAM in MySQL, usually provide higher reading speed than transaction-safe engines, and can be a better choice if your tables don’t get updates simultaneously with reads.
Database Storage Engines and Replication
Replication is a process of automated synchronization of two databases that allows distributing database load and optimizing the way application reads, writes and processes information. The beauty of this technology is that it doesn’t expect Master database (the one acting as a source of data) and Slave database (the one synchronized) to share identical storage engines.
In a Master-to-Slave replication configuration it is recommended to assign each database its own role, and have one optimized for storing and processing data, and the other for retrieval. To learn the recommendations for MySQL database, please see MySQL Replication.
Version 8.3.2, built on November 1, 2021
Term of the Day
Backup Software Glossary
Current glossary explains various terms that you may come across while working with Handy Backup or other backup software.
Handy Backup is a backup utility for Windows Servers and PCs that is famous for its flexibility and ease of use.
The glossary contains 162 terms. The current section Databases contains 17 terms.
Other “Databases” Terms