Database persistence is the ability of a process or object to survive a system shutdown. Discover and learn about two types of persistence in datasets: object persistence and process persistence concepts of persistence. Then learn why persistent data is important, and consider some examples of persistent databases. Persistent data is stored as objects or records in persistent databases as devices and software change (Ming et al., 2020). Persistent data is reliable. Records and tables are the main formats for persistent data storage in traditional database management systems (RDBMS), but they lack the ability to store objects and their connections. Encapsulation, inheritance, persistence, and polymorphism are basic characteristics of objects that don’t translate well to records and tables. To store objects and maintain object persistence, specialized databases such as object-oriented database management systems (OODBMS) and object-relational database management systems (ORDBMS) are required. There are many reasons why persistent data is so important. For example, persistent data is static (not dynamic) but does not change over time (Shen et al., 2019). Also, persistent data stores important data. For example, a company’s financial data must be permanent. Also, persistent data is stable because no external process or object can delete it until the user deletes it. continue…
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