

Average desktop users began to use client-server database systems to access computer systems that contained legacy data. Prototypes for Object Database Management Systems, or ODBMS, were created in the early 1990s.ĭuring the middle of the decade the advent of the Internet led to exponential growth of the database industry. A number of tools for personal productivity, such as ODBC and Excel/Access, were also developed. After a shakeout, most of the surviving companies sold complex database products at high prices.Īround this time, new client tools for application development were released, and these included the Oracle Developer, PowerBuilder, VB, and others. Similar to the 1960s, a broader culture shift led to further developments in the industry. The 1990s served a pivotal role in the advancement of databases and database software.
PC IDATABASE PC
DB2 became the flagship database product for IBM, and the introduction of the IBM PC resulted in the establishments of many new database companies and the development of products such as PARADOX, RBASE 5000, RIM, Dbase III and IV, OS/2 Database Manager, and Watcom SQL. Relational database systems became a commercial success as the rapid increase in computer sales boosted the database market, and this caused a major decline in the popularity of network and hierarchical database models. Structured Query Language, or SQL, became the standard query language, selected by the American National Standards Institute in 1986 and the International Organization for Standardization in 1987. This model made it possible for designers to focus on data application, instead of logical table structure. In 1976, new database model called Entity-Relationship, or ER, was proposed by P. It was also in this decade that Relational Database Management System, or RDBMS, became a recognized term. On the other hand, System R used the SEQUEL query language, and it contributed to the development of SQL/DS, DB2, Allbase, Oracle, and Non-Stop SQL. Ingres used a query language known as QUEL, and it led to the creation of systems such as Ingres Corp., MS SQL Server, Sybase, Wang’s PACE, and Britton-Lee. Two major relational database system prototypes were created between the years 19, and they were the Ingres, which was developed at UBC, and System R, created at IBM San Jose. In his model, the database’s schema, or logical organization, is disconnected from physical information storage, and this became the standard principle for database systems. Codd published an important paper that served as the introduction of the relational database, and his ideas changed the way people thought about databases. One database system that proved to be a commercial success was the SABRE system that was used by IBM to help American Airlines manage its reservations data.ġ970s The Introduction of the Relational DatabaseĮ.F.

There were two popular data models in this decade: a network model called CODASYL and a hierarchical model called IMS. As prices dropped it became easier to shift data storage and databases to computers. The history of computers and databases are interlinked. 1960sĬomputerized databases started in the 1960s, when the use of computers became a more cost-effective option for private organizations. Some of the basic principles of these systems are still being used today in modern database software. In modern times, but before the advent of widespread computing, elaborate database systems were developed by government offices, libraries (what is the Dewey Decimal System if not one of the most famous databases in history?), hospitals, and businesses. Ancient civilizations like the Egyptians and Sumerians, however, did know what they were doing when they pioneered accounting techniques to keep track of data and understand their day-to-day lives. Whether they knew they were early adopters of database management remains to be seen. The first human beings surely had to track and manage their limited resources to make informed decisions. Human beings began to store information very long ago.
