The model tends to determine the query languages that are available to access the database. A great deal of the internal engineering of a DBMS, however, is independent of the data model, and is concerned with managing factors such as performance, concurrency, integrity, and recovery from hardware failures.
In these areas there are large differences between products. In this context, Date's "Information Principle" states: Namely as explicit values in column positions attributes and rows in relations tuples. Therefore, there are no explicit pointers between related tables. Database model  Post-relational database models Products offering a more general data model than the relational model are sometimes classified as post-relational. The data model in such products incorporates relations but is not constrained by the Information Principle, which requires that all information is represented by data values in relations.
Some of these extensions to the relational model actually integrate concepts from technologies that pre-date the relational model. For example, they allow representation of a directed graph with trees on the nodes. Some products implementing such models have been built by extending relational database systems with non-relational features.
Others, however, have arrived in much the same place by adding relational features to pre-relational systems. Paradoxically, this allows products that are historically pre-relational, such as PICK and MUMPS, to make a plausible claim to be post-relational in their current architecture. These databases attempt to bring the database world and the application programming world closer together, in particular by ensuring that the database uses the same type system as the application program.
This aims to avoid the overhead sometimes referred to as the impedance mismatch of converting information between its representation in the database for example as rows in tables and its representation in the application program typically as objects. At the same time, object databases attempt to introduce the key ideas of object programming, such as encapsulation and polymorphism, into the world of databases.
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Mar 23, · Best Answer: A database is a structured collection of records or data that is stored in a computer system. The structure is achieved by organizing the data according to a database model. The model in most common use today is the relational model. Other models such as the hierarchical model and the network Status: Resolved.
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