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During the first half of the 1980s, the relational database vendors struggled for commercial acceptance of their products. The relational products had several disadvantages when compared to the traditional database architectures. The performance of relational databases was seriously inferior to that of traditional databases. Except for the IBM products, the
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relational databases came from small upstart vendors. And, except for the IBM products, the relational databases tended to run on minicomputers rather than on IBM mainframes. The relational products did have one major advantage, however. Their relational query languages (SQL, QUEL, and others) allowed users to pose ad hoc queries to the database and get immediate answers without writing programs. As a result, relational databases began slowly turning up in information center applications as decisionsupport tools. By May 1985, Oracle proudly claimed to have over 1000 installations. Ingres was installed in a comparable number of sites. DB2 and SQL/DS were also being slowly accepted and counted their combined installations at slightly over 1000 sites. During the last half of the 1980s, SQL and relational databases were rapidly accepted as the database technology of the future. The performance of the relational database products improved dramatically. Ingres and Oracle, in particular, leapfrogged with each new version claiming superiority over the competitor and two or three times the performance of the previous release. Improvements in the processing power of the underlying computer hardware also helped to boost performance. Market forces also boosted the popularity of SQL in the late 1980s. IBM stepped up its evangelism of SQL, positioning DB2 as the data management solution for the 1990s. Publication of the ANSI/ISO standard for SQL in 1986 gave SQL official status as a standard. SQL also emerged as a standard on UNIX-based computer systems, whose popularity accelerated in the 1980s. As personal computers became more powerful and were linked in local area networks (LANs), they needed more sophisticated database management. PC database vendors embraced SQL as the solution to these needs, and minicomputer database vendors moved down market to compete in the emerging PC local area network market. Through the early 1990s, steadily improving SQL implementations and dramatic improvements in processor speeds made SQL a practical solution for transaction processing applications. Finally, SQL became a key part of the client/server architecture that used PCs, local area networks, and network servers to build much lower-cost information processing systems. SQL s supremacy in the database world has not gone unchallenged. By the early 1990s, object-oriented programming had emerged as the method of choice for applications development, especially for personal computers and their graphical user interfaces. The object model, with its objects, classes, methods, and inheritance, did not provide an ideal fit with the relational model of tables, rows, and columns of data. A new generation of venture capital-backed object database companies sprang up, hoping to make relational databases and their vendors obsolete, just as SQL had done to the earlier, nonrelational vendors. However, SQL and the relational model more than withstood the challenge. Total annual revenues for object-oriented databases are measured in the hundreds of millions of dollars, at best, while SQL and relational database systems, tools, and services produce tens of billions of dollars of sales per year. As SQL grew to address an ever-wider variety of data management tasks, the onesize-fits-all approach showed serious strain. By the late 1990s, database management was no longer a monolithic market. Specialized database systems sprang up to support
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different market needs. One of the fastest-growing segments was data warehousing, where databases were used to search through huge amounts of data to discover underlying trends and patterns. A second major trend was the incorporation of new data types (such as multimedia data) and object-oriented principles into SQL. A third important segment was mobile databases for portable personal computers that could operate when sometimes connected to, and sometimes disconnected from, a centralized database system. Another important application segment was embedded databases for use within intelligent devices, such as network equipment. In-memory databases emerged as another segment, designed for very high levels of performance. Despite the emergence of subsegments of the database market, SQL has remained a common denominator across them all. As the computer industry prepares for the next century, SQL s dominance as the database standard remains very strong. New challenges continue to emerge databases rooted in the eXtended Markup Language (XML) are the latest attempt to move outside of the relational model and SQL but the history of the past 20 years indicates that SQL and the relational model have a powerful ability to embrace and adapt to new data management needs.
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