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This thesis compares object-relational databases (ORDBMS) with traditional relational databases (RDBMS), highlighting the inadequacies of RDBMS for object persistence in modern applications. It discusses the advantages of ORDBMS, such as removing impedance mismatch, ease of modeling complex relationships, and supporting user-defined types. Performance testing results indicate that while ORDBMS may be slightly slower for certain operations like selects and updates, they significantly outperform RDBMS in handling object references compared to relational joins. The work concludes that ORDBMS are increasingly relevant as they align better with object-oriented programming paradigms.
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RDBMS has limited scalability and flexibility due to its rigid schema, whereas OODBMS has high scalability and flexibility due to its flexible schema. OODBMS also provides better performance for complex object-oriented queries.
Relational databases are ideal for applications that require strong data consistency, complex querying, and reliability. Non-relational databases, on the other hand, offer greater flexibility and scalability, making them suited to dynamic, high-volume data environments.
The object-relational model extends the capabilities of the relational model to allow objects to be stored in the columns of a relational database. An object relational DBMS is sometimes referred to as a hybrid DBMS. in some commercial RDBMSs, including Oracle.
ODL = Object Description Language, like CREATE TABLE part of SQL. OQL = Object Query Language, tries to imitate SQL in an OO framework. ODMG imagines OO-DBMS vendors implementing an OO language like C++ with extensions (OQL) that allow the programmer to transfer data between the database and host language seamlessly.
An RDBMS stores data in tables while an ODBMS stores information in arbitrary structures, nested structures, and dynamically varying structures. These structures make up software objects or subobjects.

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An objectrelational database (ORD), or objectrelational database management system (ORDBMS), is a database management system (DBMS) similar to a relational database, but with an object-oriented database model: objects, classes and inheritance are directly supported in database schemas and in the query language.

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