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发表于 2003-10-9 15:27:19
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Caché 介绍
英文原文：
Welcome to Caché, the post-relational database.
This introduction provides an overview of the major components and technologies that make up Caché. These components include:
A powerful, multidimensional transaction engine that includes the ability to create distributed databases.
A unified data architecture uniting the power of objects with high performance SQL.
A suite of technologies and tools that provide rapid development for database and web applications.
Native, object-based XML and Web Services support. For more information on Caché\'s XML features refer to Using XML with Caché.
Automatic interoperability via Java, EJB, JDBC, ActiveX, .NET, C++, ODBC, XML, SOAP, and more.
Please read the rest of this document to learn more about Caché. You may also find that the Caché Technology Guide provides a good overview of the features and architecture of Caché. For more details on a specific topic, refer to one of the other books available from the online documentation home page. In addition, Caché includes a number of online tutorials on various development and system administration topics.
A Unique Architecture
Caché derives much of its power from its unique architecture. At the core, the Caché Database Engine provides the complete set of services—including data storage, concurrency management, transactions, and process management—needed to build complex database management systems. You can think of the Caché engine as a powerful database toolkit. Using this toolkit, Caché implements a complete object and relational database management system.
The object and relational database systems talk directly to the database engine for extremely efficient operation" there is no object-relational middleware or SQL-to-object bridge technology.
The logical separation of the database from its physical implementation makes it possible to radically reconfigure application deployments with no change to application logic.
Because the Database Engine interface is open, you can make direct use of its features where needed. This can range from building your own customized database management system to adding targeted optimizations to performance critical applications.
A platform for the future: The Caché architecture makes future Database Engine enhancements possible without impact on existing applications. For example, Caché v4.1 introduced a brand-new physical data structure, with dramatically improved scalability and performance, that not only required no change to existing applications but also required no change to the Caché object or relational systems. As new technologies emerge, such as XML, Caché can add support for them as native, high-performance components with little impact to existing applications.
What Do You Mean Post-Relational?
Caché is designed to transcend the limitations of the relational model while providing an evolutionary upgrade path for the thousands of existing relational database applications as well as support for the many SQL-based reporting tools on the market.
The “relational” part of “post-relational” refers to the fact that Caché is a full-featured relational database. All the data within a Caché database is available as true relational tables and can be queried and modified using standard SQL via ODBC, JDBC, or object methods. Because of the power of the underlying Caché database engine, we believe that Caché is the fastest, most reliable, and most scalable relational database available today.
The “post” part of “post-relational” refers to the fact that Caché offers a range of features that go beyond the limits of relational databases, while still supporting a standard relational view of data. These features include:
The ability to model data as objects (each with an automatically created and synchronized native relational representation) while eliminating both the impedance mismatch between databases and object-oriented application environments as well as reducing the complexity of relational modeling.
A simpler, object-based concurrency model.
User-defined data types.
The ability to take advantage of methods and inheritance, including polymorphism, within the database engine.
Object-extensions for SQL to handle object identity and relationships.
The ability to intermix SQL and object-based access within a single application, using each for what they are best suited.
Control over the physical layout and clustering used to store data in order to ensure the maximum performance for applications.
While most databases with both object and relational access provide one form of access on top of the other, the SQL and object aspects of Caché both go directly to the data—this dual, direct access gives Caché its post-relational power.
Caché in Action
Caché is used around the world for a wide variety of applications ranging from single-user embedded systems to enterprise-wide multi-server installations with tens of thousands of concurrent users.
A small sample of applications built with Caché includes:
As the application platform for a large health-care network running hundreds of patient-critical applications. The network includes a set of Caché systems acting as data and application servers and has over 30,000 client machines.
As the data server for a Java-based enterprise messaging system for large financial institutions. Caché was chosen both for its performance and its ability to carry out customized tasks not possible within a traditional relational database.
As an SQL-based OLTP (online transaction processing) system for a large government organization with over 1400 concurrent users. Caché was a drop-in (no application changes) replacement when other relational products failed to perform.
As an object database and Web application framework for an online educational system used by a leading technical university. Caché was chosen for its rapid development (the application had to be built in 3 months), its object capabilities, as well as its ability to scale without application reworking.
As an object database used to track real-time position and velocity of professional athletes during a world championship. Caché was chosen for its performance (compared with the leading object and relational databases) and its native C++ interface.
As a distributed SQL data engine for a major Web site with millions of users. This site uses a set of cost-effective Linux-based servers and uses the Caché distributed data management to provide a scalable, personalized site with no middleware or Web caching infrastructure. The hardware costs of this system (4 off-the-shelf Linux machines) were less than 10% of those quoted by a so-called “leading database for internet applications”.
Contacting InterSystems
For support questions about any InterSystems products, please contact the InterSystems Worldwide Support Center:
Web:
http://www.intersystems.com
Phone:
US: +1 617 621-0700
Europe: +44 (0) 1753 830-077
Fax:
US: +1 617 374-9391
Europe: +44 (0) 1753 861-311
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发表于 2003-10-9 15:25:35
发表于 2003-10-9 18:31:33