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SQL-based database products run on computer systems ranging from mainframes and midrange systems to personal computers, workstations, and even handheld devices. They operate on stand-alone computer systems, in departmental local area networks, and in enterprise-wide or Internet-wide networks. SQL-based applications that begin on single-user 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 multi-user system.
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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. 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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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 RS/6000) to IBM mainframes running both the MVS and VM operating systems. 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.
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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, 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).
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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.
High-Level, English-Like Structure
SQL statements look like simple English sentences, making SQL easy to learn and understand. This is in part because SQL statements describe the data to be retrieved, rather than specifying how to find the data. Tables and columns in a SQL database can have long, descriptive names. As a result, most SQL statements "say what they mean" and can be read as clear, natural sentences.
Interactive, Ad Hoc Queries
SQL is an interactive query language that gives users ad hoc access to stored data. Using SQL interactively, a user can get answers even to complex questions in minutes or seconds, in sharp contrast to the days or weeks it would take for a programmer to write a custom report program. Because of SQL's ad hoc query power, data is more accessible and can be used to help an organization make better, more informed decisions. SQL's ad hoc query capability was an important advantage over nonrelational databases early in its evolution and more recently has continued as a key advantage over pure object-based databases.
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