relational DBMS


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Related to relational DBMS: database management system, Relational model

relational DBMS

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Many companies are now producing more than one kind of relational DBMS to meet differing customer needs.
Links: Relationships between objects can be represented more efficiently than in traditional relational DBMS implementations, using a more convenient syntax than relational joins.
Most of the tools for creating distributed applications have been sold by the relational DBMS vendors, such as Oracle and Sybase, who have an edge because of their ability to optimize the development software for use with their own data base systems.
Relational DBMS, prototyped in the 1970s and now common in the marketplace, gained popularity largely because of their simple underlying concepts and high-level set-oriented query languages that simplified application development.
Unlike the traditional relational DBMS which places data into fixed two-dimensional tables of rows and columns, the revolutionary Infobionics Cellular DBMS[TM] places data and metadata into individual "Data Cells" that can be flexibly combined into "Data Sets.
Also featured is "An Object-Oriented Relational Database," which describes how a relational DBMS and an object-oriented programming language can be combined to yield an effective OO-DBMS for a variety of applications.
We fully leveraged CACHE object capabilities to achieve application benchmark performance on average ten times that of conventional large-scale relational DBMS benchmark sets," Hurlburt said.
There are two basic approaches to OO-DBMS: extending a relational DBMS and extending an OO programming language.
KAIROS is a high performance, real-time relational DBMS system.
A prototype system has been developed that interfaces a relational DBMS and a non-relational DBMS using the DATAPLEX approach.
Relational DBMS have a better theoretical foundation than network and hierarchical systems and are the focus of intense commercial activity.
The series will cover the most important subjects in IT Modernization: Understanding IT Systems, Legacy Transformation, Migrating to a Relational DBMS, and Converting away from proprietary 4GLs.

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