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Some databases are completely invisible to end users because they are deeply embedded within machines or devices, and used to support or control their operation. The machinery that controls a manufacturing process or an automated loading dock, for example, might contain a database that helps to control the assembly line or loading equipment. A network element such as a router, a switch, or an automated voiceresponse unit may contain a database that stores configuration parameters or gathers performance statistics, or that determines the valid responses to a user s spoken commands. The entertainment and engine control systems in your car may well contain embedded databases that store information about your favorite satellite radio stations or that collect engine performance information to anticipate maintenance requirements. In each of these cases, the operation of the database is fundamental to the operation of the device, but no database queries are visible, and no database administrator is managing the database s operation. Until about ten years ago, embedded databases to support applications like these were always custom-built to meet the specific needs of the application. Embedded databases almost always operate in a very resource-constrained environment, with limited memory and little or no disk storage. There was simply no way that a database system based on standard SQL could squeeze into the required very small memory footprint, and the generality of a SQL-based database was overkill for the needs of the application. Over time, however, the cost of memory, disk storage, and computing power has steadily plummeted, providing vastly more processing power and storage at low price points. In parallel, the sophistication and intelligence of factory automation, network equipment, entertainment systems, and control systems has grown dramatically. At the intersection of those two trends, commercial SQL-based embedded database products have emerged to fill the need.

The CD_NAME_2 column in the CD_INVENTORY_2 table has the same data type as the CD_NAME column in the CD_INVENTORY table, and the IN_STOCK_2 column in the CD_INVENTORY_2 table has the same data type as the IN_STOCK column in the CD_INVENTORY table. As a result, values taken from the two columns in one table can be inserted into the two columns in the second table.

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Commercial embedded SQL database products tend to have the same basic characteristics, driven by the requirements of the types of applications that they serve. These include Very small memory footprint While enterprise databases typically require tens of gigabytes (or more) of memory to operate, embedded databases may squeeze into as little as a few hundred kilobytes of memory. Zero or very little administration While enterprise databases typically have dedicated DBAs who configure, manage, and tune them, embedded databases are completely managed by the application that uses them. There is no database administration, and usually little or no configuration when the product containing the database is placed into service. Support for unconventional storage The data managed by an embedded database may be stored entirely in memory, in nonvolatile flash memory, on a solid-state USB drive, or on a storage medium other than the disk drives usually found on database servers. Limited SQL support With much less memory to work in, the range of SQL language support is usually limited to basic data manipulation and queries. The application probably has no need of data warehousing extensions, exotic data types, integration with XML, or database auditing. Static database schema The structure of the database is designed to serve a specific application, and it can be determined at the time the product is designed. There is little need for the ability to dynamically add, delete, or change column or table definitions. Single user operation A single application or a small group of applications typically uses the database, often eliminating the need for sophisticated multiuser concurrency control.

A column in one table does not have to be the same data type as a column in another table for values to be copied from one to the other, as long as the values inserted into the target table conform to the data restrictions of that table.

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