Database

Database

To manage and store large volume of information a database may be beneficial for your business. It helps to store new information, to run search facilities, to generate regular reports based on a real-time selection of data. RVN is experienced in developing a wide variety of databases. RVN can deliver custom designed database applications using a wide variety of tools, techniques and programming languages including MS Access, ADP, VB, SQL Server, MySQL, Oracle, and Ingres and can advise you on the most appropriate techniques to suit your database needs.

MySQL

It is popular for web applications and acts as the database component of LAMP, MAMP, WAMP platforms and for open-source bug tracking tools like Bugzilla. Its popularity for usage with web applications is closely tied to the popularity of PHP and Ruby on Rails, running popular content management systems such as Joomla, WordPress, and Drupal.

Oracle

It is one of the popular RDBMS, designed for data creation, maintenance, and reports. It has been widely used backend tool for web developments. Also, its known as standalone application tool for any database management, web development.

Microsoft SQL Server

It is a RDBMS produced by Microsoft, its primary query language is Transact-SQL, an implementation of the ANSI/ISO standard SQL used by both Microsoft and Sybase.

IBM DB2

DB2 is a family of RDBMS products from IBM that serves several different operating system platforms. According to IBM, DB2 leads in terms of database market share and performance.

Pervasive PSQL

It is Pervasive Software's relational database product, designed for embedded database installations where the DBMS is distributed as part of an application software package, PSQL provides both relational and transactional access to data.

Data Flex

Data Flex is a relational, 4GL Object Oriented database programming language. A database programming language and relational database system (RDBMS) such as Data Flex simplifies these concepts by providing features that automatically perform the mundane drudgery of moving data around and validating its correctness.

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