dbForge Data Generator for SQL Server

by Devart

A data tool for SQL tables which allows users to implement new standards

Operating system: Windows

Publisher: Devart

Release : dbForge Data Generator for SQL Server 1.0.5

Antivirus check: passed

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With this Windows software program, users are able to create and enforce new standards for any variety of SQL tables with data. Using the integrated visual data tool, you are able to implement new standards. This is, therefore, ideal for any individual working with SQL tables as it is applicable to the most meaningful functions.

The Data Generator Tool itself has over 200 data generators that allow the user to configure effectively and also provides the user with the most flexibility in terms of having control over the production of their own key data. Using column-intelligent data generation, you are not limited by what you can do and accomplish with this program. Users can create data within a column, as well as create data that is based on other data from other elements.

This tool is excellent for its function. Although it could perhaps list a few more features that could be integrated, it is excellent for the purpose of working with SQL tables. It is very efficient and effective in what it accomplishes. I think that all users working with tables should consult this program and its integrated tools which can come of great use.

Over 200 data generators enable the user to configure SQL tables effectively
Features:

  • Integrate and enforce new standards for SQL tables
  • Data integration
  • Data generation tool
  • flexibility in function
  • Column data management
Microsoft Windows operating system required
SQL Server 2012 or later needed
.NET Framework 4.5.2 or higher installed
Hard disk space of 20 MB minimum

PROS
Generates large volumes of SQL Server test data quickly.
Offers customizable data generation rules.
Supports essential SQL data types and user-defined types.

CONS
Difficult to navigate for beginners due to a complex user interface.
Limited customization options for specific data generation scenarios.
Expensive when compared to similar software on the market.
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