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Embedded Databases
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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, 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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Object Integration
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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. Object-oriented scripting languages, such as PHP and Perl, dominate web development. 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 dealt with the object/relational mismatch by discarding the relational model wholesale in favor of pure object database structures. But the lack of standards, steep learning curve, lack of simple query facilities, and other disadvantages prevented pure object databases from having any significant market success. Instead, the relational database vendors worked to integrate object-oriented features, and especially
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PART VI
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Part VI:
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SQL Today and Tomorrow
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XML support, into the relational model. Much work has already been done, but it seems a safe bet that relational and object technologies will be even more tightly integrated going forward, including these trends: Java-based interfaces to RDBMSs, such as JDBC and embedded SQL for Java, will continue to grow rapidly in popularity, as will interfaces from object-oriented scripting languages. Java will become a more important stored procedure language for implementing business logic within an RDBMS. Slowly, Java may replace proprietary stored procedure languages like Oracle s PL/SQL for new applications. DBMS products will expand support for abstract, complex data types that exhibit object-oriented capabilities such as encapsulation and inheritance. XML will provide the vehicle for storing structured nonrelational data, but it will be complemented by the ability to store streaming media such as music and video. 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. The lines between content management systems, used to manage documents, and relational database management systems will blur, as XML blurs the distinction between a document and a structured data record. The pattern of relational DBMS evolution to support new technologies and requirements has been clearly exhibited and repeated over the past two decades. The new technology (such as objects or XML or data warehousing) comes on the scene, generates a lot of enthusiasm, and spawns a wave of startups. For a few years, these newcomers ride the new technology wave and serve those who derive strong benefits from it. But at the same time, the relational DBMS vendors adapt to the new technology and find ways to integrate it at first at a very basic level into their existing products. Eventually, those products become good enough for the mainstream use of the new technology, and the existing products have evolved to meet the challenge. It seems likely that pattern will repeat itself with new technologies, like further integration of objects, into the future.
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