This is useful when you just need to store some simple data, like the user's name, whether they are logged in, what color to use for the background of the screen, etc. Once written to a disk file the data becomes persistent and it will still be there tomorrow when we run the next program. Conversely, when all persistent storage is network attached, systems are easier to scale. Snapshots are the simplest persistence technique. Usually, Repositories should know about the implementation details of which database we decided to use. While persistence can be achieved by simple copying, this is inefficient in time and space, because most operations make only small changes to a data structure. If the cluster must increase its compute capacity, a new node can be added and the data can be “remastered”, a process in which the data node ownership is modified without moving any data (since all nodes can see all of the data). As such it is opposite of transient or volatile. Temporary data, opposite of persistent data. a) But what are advantages/disadvantages of also making Repositories Persistence Ignorant ( ie unaware what persistence medium is used for storing data ). ... (ORM) of Java objects to persistent data (stored in a database). Persistent data structures can also be created using in-place updating of data and these may, in general, use less time or storage space than their purely functional counterparts. This multiplicity is the opposite of a one-to-many relationship. Persistent data denotes information that is infrequently accessed and not likely to be modi ed. Remaining in existence past the lifetime of the program that creates it. (computing) About some data or data structures: existing after the execution of the program. A snapshot is a copy of the entire state of a program that is written to storage. The meaning given in this article as opposite of 'dynamic' is what is usually named static or constant. The opposite of this is transactional data. The opposite of this is dynamic data (also known as transactional data) where information is asynchronously changed as further updates to the information become available. Persistent storage is any data storage device that retains data after power to that device is shut off. Notebook hibernation, for example, uses a stored snapshot of the entire machine's RAM.It is an example of orthogonal persistence because it does not require any specific actions by the programs running on the machine. Both persistent and ephemeral data structures can be built in both functional and imperative languages. What is "serverless" computing? Only advantage I can think of is that now same Repository implementation can be used regardless to which medium data is persisted Persistent data structure is a data structure that always preserves the previous version of itself when it is modi ed The opposite of a persistent data structure is an ephemeral data structure: changes are destructive, so that only one version exists at any time. It is also sometimes referred to as non-volatile storage . { google What is a persistent data structure? The "easier" features we mentioned above are as follows: The Web Storage API provides a very simple syntax for storing and retrieving smaller, data items consisting of a name and a corresponding value. Persistent Data denotes information that is infrequently accessed and not likely to be modified. This way transient value becomes persistent . A Java object that maps to a database table is called an entity class. 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