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SQL Anywhere Server is a high performing and embeddable relational database-management system that scales from thousands of users in server environments down to desktop and mobile applications used in widely deployed, zero-administration environments.
Jet passes the data retrieved for the query in a dynaset. This is a set of data that is linked dynamically back to the database. Instead of having the query result stored in a temporary table, where the data cannot be updated directly by the user, the dynaset allows the user to view and update the data contained in the dynaset.
Toad is a database management toolset from Quest Software for managing relational and non-relational databases using SQL aimed at database developers, database administrators, and data analysts. The Toad toolset runs against Oracle, SQL Server, IBM DB2 (LUW & z/OS), SAP and MySQL. A Toad product for data preparation supports many data platforms.
The data was no longer in an Access database but SharePoint lists. An Access desktop database could link to the SharePoint data, so hybrid applications were possible so that SharePoint users needing basic views and edits could be supported while the more sophisticated, traditional applications could remain in the desktop Access database.
The latest version of MDAC (2.8) consists of several interacting components, all of which are Windows specific except for ODBC (which is available on several platforms). ). MDAC architecture may be viewed as three layers: a programming interface layer, consisting of ADO and ADO.NET, a database access layer developed by database vendors such as Oracle and Microsoft (OLE DB, .NET managed ...
dBase (also stylized dBASE) was one of the first database management systems for microcomputers and the most successful in its day. [3] The dBase system included the core database engine, a query system, a forms engine, and a programming language that tied all of these components together.
NOMAD provides both interactive and batch environments for data management and application development, including commands for database definition, data manipulation, and reporting. All components are accessible by and integrated through a database-oriented programming language.
Unlike the later ODBC, Blueprint was a purely code-based system, lacking anything approximating a command language like SQL. Instead, programmers used data structures to store the query information, constructing a query by linking many of these structures together. Lotus referred to these compound structures as query trees. [2]