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vast majority of IBM DB2 installations are on IBM computer systems and are sold as part of integrated IBM-based enterprise systems, and the core strength of DB2 is on IBM mainframe systems. The pioneering object-relational DBMS, Illustra, survives in IBM s product line as the Informix Dynamic Server, and retains a significant market share on UNIX-based systems. The Cloudscape product is available from IBM, distinguished as a 100 percent Java database especially tuned for mobile computing applications. Red Brick data warehouse provides a specialized business intelligence server, but its functions overlap considerably with BI and OLAP tools in the DB2 product line. UniVerse is focused on client/server and web-based data management, with low management overhead, but also has considerable overlap with other IBM products. Finally, it s worth noting that IMS (a non-SQL, hierarchical database whose origins predate the relational model) remains a very significant IBM data management product, with ongoing development.
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APPENDIXES
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Informix Software (See IBM Corporation)
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Informix was one of the original leaders in the UNIX-based relational database market. The company s first relational DBMS was implemented on UNIX-based microcomputer systems in the early 1980s, and was known for its efficiency and compactness. In 1985, Informix was rewritten as a SQL-based DBMS and introduced as Informix-SQL. It was subsequently ported to a wide range of systems, from IBM PCs under MS-DOS to Amdahl mainframes running UNIX. Informix was also one of the first database vendors to expand its product offerings beyond the core database engine to include development tools. Its Informix-4GL product family supports the development of forms-based interactive applications. In the early 1990s, Informix expanded its product line into the office automation area, including among other products, a database-integrated spreadsheet named Wingz. This effort was not very successful against Microsoft s office suite juggernaut, and Informix refocused on its core database capabilities. One of its flagship products during the mid-1990s was Informix Parallel Server, the technology leader in so-called parallel query technology. Parallel Server splits the processing of a single complex query into multiple, parallel operations, which can take advantage of symmetric multiprocessing (SMP) servers. Later, Informix established a leadership position in object-relational technology through the acquisition of Illustra. Illustra was a venturebacked database software firm, led by Michael Stonebreaker (the same Berkeley professor who had led the development of Ingres years before). A side-effect of the Illustra acquisition was a proliferation of product lines and development teams within Informix, adding to some confusion among Informix customers. As the enterprise database market turned into a three-horse race in the late 1990s, Informix found itself a much smaller competitor than the Big 3 (Oracle, IBM, and Microsoft). Informix resources were also split between its original data management business and an emerging and faster-growing business in enterprise data integration
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tools. Informix sold the database part of its business to IBM in April 2001, for more than $1 billion. The data integration part of the business was renamed Ascential Software, and continues with a focus in that market.
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Microsoft Corporation, the world s largest personal computer software company, is also a major vendor in the SQL-based database market. Microsoft s first foray into database products came in 1987 and began as a defensive move. With the announcement of OS/2 Extended Edition, IBM tried to establish built-in database management and data communications as key components of an enterprise-class PC operating system. In 1988, Microsoft responded with SQL Server, a version of the Sybase DBMS ported to OS/2. Although Microsoft later abandoned OS/2 in favor of its own Windows NT operating system, SQL Server continued as its flagship DBMS. Today, SQL Server is a major product in the workgroup database segment, and Microsoft is aggressively moving to establish it as an enterprise-class DBMS competing with Oracle and DB2. Expanding on its early experience with SQL Server, Microsoft moved on several other fronts to expand its role as a database vendor. In the early 1990s, Microsoft acquired Foxbase Corporation, developer of the Foxbase DBMS. Foxbase had established itself as a very successful clone of dBASE, the most popular and widely used PC database product. Through the acquisition, Microsoft moved to challenge Borland International, which had acquired the rights to dBASE shortly before. While the Foxbase acquisition was focused more on the PC-installed base and the relatively mature market for character-based, flat file PC databases, Microsoft s internal development focused on the new, growing market for graphical lightweight relational PC databases. After several false starts and abandoned development prototypes, the result product, Microsoft Access, was introduced. Microsoft Access continues today as both a stand-alone lightweight database product and a front-end for SQL-based production databases. Microsoft also moved aggressively to enable Windows as a database access and database development platform. Its first major move in this area was the introduction of Open Database Connectivity (ODBC), a SQL-based API for database access. Microsoft built ODBC capability into Windows and successfully lobbied the SQL Access Group, a database vendor association, to adopt it as a callable database API standard. This early version of ODBC eventually made its way into the formal ISO standards as the SQL Call-Level Interface (CLI). Microsoft has continued to evolve ODBC and expand its capabilities. Microsoft has also layered other database access APIs on top of ODBC. The first such step was to incorporate database access into Microsoft s Object Linking and Embedding (OLE) framework for linking applications together. The OLE/DB portion of the OLE suite provided source-independent data access, and relied on ODBC as its underlying architecture for working with relational databases. Later, with the
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Appendix B:
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