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Vendor Independence
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SQL is offered by all of the leading DBMS vendors, and no new database product over the last decade has been highly successful without SQL support. A SQL-based database and the programs that use it can be moved from one DBMS to another vendor s DBMS with minimal conversion effort and little retraining of personnel. Database tools, such as query tools, report writers, and application generators, work with many different brands of SQL databases. The vendor independence thus provided by SQL was one of the most important reasons for its early popularity and remains an important feature today.
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Introduction
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Portability Across Computer Systems
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SQL-based database products run on computer systems ranging from mainframes and midrange systems to personal computers, workstations, a wide range of specialized server computers, and even handheld devices. They operate on stand-alone computer systems, in departmental local area networks, and in enterprisewide or Internetwide networks. SQL-based applications that begin on single-user or departmental server systems can be moved to larger server systems as they grow. Data from corporate SQL-based databases can be extracted and downloaded into departmental or personal databases. Finally, economical personal computers can be used to prototype a SQL-based database application before moving it to an expensive multiuser system.
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AN OVERVIEW OF SQL
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SQL Standards
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An official standard for SQL was initially published by the American National Standards Institute (ANSI) and the International Standards Organization (ISO) in 1986, and was expanded in 1989 and again in 1992 and 1999. SQL is also a U.S. Federal Information Processing Standard (FIPS), making it a key requirement for large government computer contracts. Over the years, other international, government, and vendor groups have pioneered the standardization of new SQL capabilities, such as call-level interfaces or object-based extensions. Many of these new initiatives have been incorporated into the ANSI/ISO standard over time. The evolving standards serve as an official stamp of approval for SQL and have speeded its market acceptance.
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IBM Endorsement and Commitment (DB2)
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SQL was originally invented by IBM researchers and has since become a strategic product for IBM based on its flagship DB2 database. SQL support is available on all major IBM product families, from personal computers through midrange systems (AS/400 and UNIX-based servers) to IBM mainframes. IBM s initial work provided a clear signal of IBM s direction for other database and system vendors to follow early in the development of SQL and relational databases. Later, IBM s commitment and broad support speeded the market acceptance of SQL. IBM s SQL reach today extends well beyond its own computer systems business. SQL-based products that IBM has developed or acquired now run across a broad range of hardware, in many cases from competing computer vendors such as Sun or Hewlett-Packard.
Microsoft Commitment (SQL Server, ODBC, and ADO)
Microsoft has long considered database access a key part of its Windows personal computer software architecture. Both desktop and server versions of Windows provide standardized relational database access through Open Database Connectivity (ODBC), a SQL-based call-level API. Leading Windows software applications (spreadsheets, word processors, databases, etc.) from Microsoft and other vendors support ODBC,
SQL: The Complete Reference
and all leading SQL databases provide ODBC access. Microsoft has enhanced ODBC support with higher-level, more object-oriented database access layers as part of its Object Linking and Embedding technology (OLE DB), and more recently as part of Active/X (Active/X Data Objects, or ADO). When Microsoft began its effort in the late 1980s to make Windows a viable server operating system, it introduced SQL Server as its own SQL-based offering. SQL Server continues today as a flagship Microsoft product, and a key component of its .NET architecture for web services.
Relational Foundation
SQL is a language for relational databases, and it has become popular along with the relational database model. The tabular, row/column structure of a relational database is intuitive to users, keeping the SQL language simple and easy to understand. The relational model also has a strong theoretical foundation that has guided the evolution and implementation of relational databases. Riding a wave of acceptance brought about by the success of the relational model, SQL has become the database language for relational databases.
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