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Microsoft Access is designed to scale to support more data and users by linking to multiple Access databases or using a back-end database like Microsoft SQL Server. With the latter design, the amount of data and users can scale to enterprise-level solutions. Microsoft Access's role in web development prior to version 2010 is limited.
Unlike ordinary base tables in a relational database, a view does not form part of the physical schema: as a result set, it is a virtual table [1] computed or collated dynamically from data in the database when access to that view is requested.
Microsoft Access versions from Access 2000 to Access 2010 included an "Upsizing Wizard" which could "upsize" (upgrade) a Jet database to "an equivalent database on SQL Server with the same table structure, data, and many other attributes of the original database". Reports, queries, macros and security were not handled by this tool, meaning that ...
Microsoft SQL Server Management Studio: ... Microsoft Access, Sybase, IBM Db2, Teradata: Java: ... (table, view, functions) permissions; Some - simple user manager ...
Linter SQL RDBMS: Proprietary MariaDB: GPL MaxDB: Proprietary Microsoft SQL Server: Proprietary Microsoft SQL Server Express: Proprietary Microsoft Visual FoxPro: Proprietary Mimer SQL: Proprietary MonetDB: MPL/GPL/LGPL mSQL: GPL MySQL: GPL Netezza: Proprietary NexusDB: Proprietary NonStop SQL: Proprietary NuoDB: Proprietary Omnis Studio ...
Microsoft Query is a visual method of creating database queries using examples based on a text string, the name of a document or a list of documents. The QBE system converts the user input into a formal database query using Structured Query Language (SQL) on the backend, allowing the user to perform powerful searches without having to explicitly compose them in SQL, and without even needing to ...
SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...
OLE DB providers can be created to access such simple data stores as a text file and spreadsheet, through to such complex databases as Oracle, Microsoft SQL Server, Sybase ASE, and many others. It can also provide access to hierarchical data stores such as email systems.