Relational database management system
A relational database management system (RDBMS) is a database management system (DBMS) that is based on the relational model as invented by E. F. Codd, of IBM's San Jose Research Laboratory. Many popular databases currently in use are based on the relational database model.
RDBMSs are a common choice for the storage of information in new databases used for financial records, manufacturing and logistical information, personnel data, and other applications since the 1980s. Relational databases have often replaced legacy hierarchical databases and network databases because they are easier to understand and use. However, relational databases have been challenged by object databases, which were introduced in an attempt to address the object-relational impedance mismatch in relational database, and XML databases.
According to research company Gartner, the five leading commercial relational database vendors by revenue in 2011 were Oracle (48.8%), IBM (20.2%), Microsoft (17.0%), SAP including Sybase (4.6%), and Teradata (3.7%).
According to Gartner, in 2008, the percentage of database sites using any given technology were (a given site may deploy multiple technologies):
- Oracle Database - 70%
- Microsoft SQL Server - 68%
- MySQL (Oracle Corporation) - 50%
- IBM DB2 - 39%
- IBM Informix - 18%
- SAP Sybase Adaptive Server Enterprise - 15%
- SAP Sybase IQ - 14%
- Teradata - 11%
In 1974, IBM began developing System R, a research project to develop a prototype RDBMS. Its first commercial product was SQL/DS, released in 1981. However, the first commercially available RDBMS was Oracle, released in 1979 by Relational Software, now Oracle Corporation. Other examples of an RDBMS include DB2, SAP Sybase ASE, and Informix.
Historical usage of the term
The term "relational database" was invented by E. F. Codd at IBM in 1970. Codd introduced the term in his seminal paper "A Relational Model of Data for Large Shared Data Banks". In this paper and later papers, he defined what he meant by "relational". One well-known definition of what constitutes a relational database system is composed of Codd's 12 rules. However, many of the early implementations of the relational model did not conform to all of Codd's rules, so the term gradually came to describe a broader class of database systems, which at a minimum:
- Present the data to the user as relations (a presentation in tabular form, i.e. as a collection of tables with each table consisting of a set of rows and columns);
- Provide relational operators to manipulate the data in tabular form.
The first systems that were relatively faithful implementations of the relational model were from the University of Michigan; Micro DBMS (1969), the Massachusetts Institute of Technology; (1971), and from IBM UK Scientific Centre at Peterlee; IS1 (1970–72) and its followon PRTV (1973–79). The first system sold as an RDBMS was Multics Relational Data Store, first sold in 1978. Others have been Berkeley Ingres QUEL and IBM BS12.
The most popular definition of an RDBMS is a product that presents a view of data as a collection of rows and columns, even if it is not based strictly upon relational theory. By this definition, RDBMS products typically implement some but not all of Codd's 12 rules.
A second school of thought argues that if a database does not implement all of Codd's rules (or the current understanding on the relational model, as expressed by Christopher J Date, Hugh Darwen and others), it is not relational. This view, shared by many theorists and other strict adherents to Codd's principles, would disqualify most DBMSs as not relational. For clarification, they often refer to some RDBMSs as truly-relational database management systems (TRDBMS), naming others pseudo-relational database management systems (PRDBMS). It can also be said as the raw database management system.
Alternative query languages have been proposed and implemented, notably the pre-1996 implementation of Berkeley Ingres QUEL.
- Wikibook SQL
- Online analytical processing (OLAP) and ROLAP (Relational Online Analytical Processing)
- Data warehouse
- Star schema
- Snowflake schema
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System R did not convince IBM management to abandon its existing product
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The product was called SQL/DS (Structured Query Language/Data Store) and ran under the DOS/VSE operating system environment
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