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that they will provide the best integration within their own product lines. Whether this approach will prevail against a best-of-breed approach remains another open question.
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Relational database technology has reached into many parts of the computer industry, from small handheld devices to large mainframes. Databases underlie nearly all enterprise-class applications as the foundation for storing and managing their information. Lightweight database technology underlies an even broader range of applications. Directory services, a foundation technology for the new era of value-added data communications network services, are a specialized form of database technology. Lightweight, very-high-performance databases also form an integral part of telecommunications networks, enabling cellular networks, advanced billing schemes, smart messaging services, and similar capabilities. These embedded database applications have traditionally been implemented using proprietary, custom-written data management code tightly integrated with the application. This application-specific approach produced the highest possible performance, but at the expense of an inflexible, hard-to-maintain data management solution. With declining memory prices and higher-performance processors, lightweight SQL-based relational databases are now able to economically support these applications. The advantages of a standards-based embedded database are substantial. Without a serious compromise in performance, an application can be developed in a more modular fashion, changes in database structure can be handled transparently, and new services and applications can be rapidly deployed atop existing databases. With these advantages, embedded database applications appear destined to be a new area of growth potential for SQL and relational database technology. As in so many other areas of information technology, the ultimate triumph of SQL-based databases may be that they disappear into the fabric of other products and services invisible as a stand-alone component, but vital to the product or service that contains them.
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The most significant unknown in the future evolution of SQL is how it will integrate with object-oriented technologies. Modern application development tools and methodologies are all based on object-oriented techniques. Two object-oriented languages, C++ and Java, dominate serious software development, for both client-side and server-side software. The core row/column principles of the relational data model and SQL, however, are rooted in a much earlier COBOL era of records and fields, not objects and methods. The object database vendors solution to the relational/object mismatch has been the wholesale discarding of the relational model in favor of pure object database structures. But the lack of standards, steep learning curve, lack of simple query facilities, and other disadvantages have prevented pure object databases from having
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any significant market success to date. The relational database vendors have responded to the object database challenge by embracing object-oriented features, but the result has been a proliferation of nonstandard, proprietary database features and SQL extensions. It s clear that relational database technology and object technology must be more tightly integrated if relational databases are to remain an integral part of the next generation of applications. Several trends are visible today: I Java-based interfaces to RDBMS s, such as JDBC and embedded SQL for Java, will continue to grow rapidly in popularity. I Java will become a more important stored procedure language for implementing business logic within a RDBMS. Virtually all of the major DBMS vendors have announced plans to support Java as an alternative to their proprietary stored procedure languages. I DBMS products will expand support for abstract, complex data types that exhibit object-oriented capabilities such as encapsulation and inheritance. Beyond high-level agreement on the need to store objects within a row/column structure, the specifics (nested tables, arrays, complex columns) vary dramatically. I The SQL:1999 standard for object-oriented extensions to SQL will influence vendor products, but slowly, as vendors continue to seek competitive advantages and user lock-in through proprietary object-oriented extensions. I Message-oriented interfaces, including database triggers that produce messages external to the DBMS for integration with other applications, will grow in importance, as the database becomes a more active component for integrating systems together. I XML will emerge as an important standard format for representing both data retrieved from a SQL database, and data to be entered into or updated in a database. I DBMS vendors will offer SQL extensions to store and retrieve XML documents, and to search and retrieve their contents. Whether these extensions to SQL and the relational model can successfully integrate the worlds of RDBMS and objects remains to be seen. The object-oriented database vendors continue to maintain that object capabilities bolted onto an RDBMS can t provide the kind of transparent integration needed. Most of them have enthusiastically embraced XML as the newest wave of object technology. The enterprise DBMS vendors have announced and added substantial object-relational capabilities, and more recently, XML integration products and features, but it s hard to determine how many of them are actually being used. In addition, the emergence of XML as an important Internet standard has given birth to a new round of database challengers, offering native XML
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