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What does computer database mean?
Generally speaking, it is a warehouse for storing and managing data.

Conceptually, anything that can store data can be regarded as a database, and Excel can also be regarded as a database. However, the "database" we often talk about, such as SQL Server and MySQL, is actually a database management system. Database applications can store relationships between data, and spreadsheet worksheets are independent entities. Database applications can be more easily shared among many users.

Broadly speaking, any program that can satisfy the function of "adding, deleting and checking" data is called a database. Many databases in the world are not relational databases, and search engine documents, multimedia and geographic information databases often do not use relational databases. In addition, the graphic database, which has gradually become popular recently, is another kind.

Extended data:

Common databases MySQL and SQL Server.

MySQL is the most popular open source SQL database management system at present, which is developed, published and supported by MySQL AB. MySQL AB is a commercial company based on MySQL developers. It is a second-generation open source company, which uses a successful business model to combine open source value with methodology. MySQL is a registered trademark of MySQL AB.

MySQL is a fast, multi-threaded, multi-user and robust SQL database server. MySQL server supports the use of mission-critical and high-load production systems, and can also be embedded in large-scale deployed software.

SQL Server is a database management system developed by Microsoft. It is the most popular database for storing data on the network. It has been widely used in e-commerce, banking, insurance, electric power and other database-related industries.

At present, the latest version is SQL Server 2005, which can only run on Windows, and the system stability of the operating system is very important to the database. Parallel implementation and * * * storage model are immature, so it is difficult to handle the increasing number of users and data, and its scalability is limited.

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