Datanamic Data Generator for MS SQL Server

Working with databases sometimes requires prior testing of their functionality in accordance with their specific schema. Manually creating test data isn’t a practical solution and users might lose precious time. Datanamic Data Generator for MS SQL Server will provide people with a set of features that will enable them to create realistic test data for their Microsoft SQL databases, therefore saving time and expediting their work process.

The application offers people a well structured interface that offers a three section layout where one will be able to view the generated data, details for each selected entry and a table preview. For those who prefer a fast workflow, several well designed buttons offer quick access to application’s core features.

Users will be able to easily create new projects, add or remove tables and refresh the list, all directly from the main interface. Test data can be generated and users have the choice of adding it to the database or saving it separately, to a SQL file. Considering the rather simplistic approach offered especially for creating the test data, this application can be used even by novice users, without too much trouble.

Accompanying the installation package is a useful sample file that will enable users to get a good grasp of its features and handling. The utility will allow them to customize the data in order to bring it to the most appropriate form for their database, by editing the constituting tables, naming the generators and changing the data type, for each entry individually.

Custom text filters are supported and people will be able to change the processing order of the database tables. In order to meet users’ specific requirements, the application allows one to run full or incremental (1%, 10% and 50% of records) test data generation processes. This way people can increase their workflow efficiency, by testing their databases on partial sets of data.

For those who database integrity is paramount, this application could provide a good validation process by generating realistic test data. It will allow users to create test data which can be customized in order to meet the specific requirements of their database schema. Allowing them a fast action and straightforward data generation process, it will help them check the behavior of their databases with ease.