Download Devart dbForge Data Generator for SQL Server v4.5.19 (30 Dec 2022) + CRACK

What is Devart dbForge Data Generator for SQL Server?

Introduce new standards for populating SQL tables that contain random data by using our visual tool for data generation. Data Generator is a collection of 200+ relevant SQL data generators with practical choices for configuration. It offers excellent flexibility and allows manual control over the generation of important foreign data. Through the column-intelligent generation of data, your data for one column can be built on the data in another.

• Create large volumes of meaningful test data with no hustle and bustle
• Eliminate hours of manual data population and profit from new time slots
• Keep your data consistent across multiple tables with data integrity support
• Preserve inter-column data dependencies with domain integrity support
• Create, set up, and share custom generators with your team
• Automate and schedule data generation routines with the command line
• Integrate test data generation right into SQL Server Management Studio

Devart dbForge Data Generator for SQL Server Great Features:

DbForge Data Generator is a fast and visual tool for creating random test data in various quantities. It comes with a variety of generators, each with a customizable configuration options for populating SQL tables with relevant data dependent on columns' names, the types of data check constraints, foreign keys that are assigned to columns, for example. This article provides an outline of the primary functions of the dbForge Data Generator.

Basic generators

With the selection of 15+ fundamental random generators for data, it is possible to fill table columns with different kinds of data. This tool comes with several generators, including:

• Constant
• Files Folder
• Foreign Key
• Lorem Ipsum
• Regular Expression
• Shuffled Text
• SQL Query
• Table or View
• Text File
• Twaddle
• Weighted Lists
• JSON

Meaningful test data generators

The dbForge Data Generator comes with 200+ powerful generators that can fill tables with various demo information. The tool can assist you in creating these types of data:

• IDs
• Postcodes
• Telephone numbers
• Countries
• Credit card numbers
• E-mails
• Social Security Numbers
• First & Last Names
• Product Categories
• Random numbers

User-defined generators

Instead of modifying existing generators time and time, you can design, save, and share generators that meet your preferences.

In the dbForge Data Generator, generators can be built by hand or modified using an existing template that is part of the selection of generators pre-defined by the program. Once you have set the generator's settings, it is possible to save them as an .xml file to be used later on.

Complete support for every column data type

The tool can handle a wide array of column types that include:

• GEOGRAPHY
• GEOMETRY
• HIERARCHY
• DATETIME2
• DATETIMEOFFSET
• XML

Multiple generators, each with unique data

Data Generator has separate generators for each data type supported, which allow you to modify:

• The number of NULL rows
• The number of empty rows
• Data uniqueness
• Value ranges
• Value distribution mode

Support for SQL integrity of data

Data Generator dbForge supports foreign keys that ensure consistency of data across tables. The tool will automatically assign Foreign Key generators Foreign Key generator to the columns that have Foreign Key constraints.

This foreign Key (auto-assigned) generator creates the foreign keys for each column in a child table by analyzing the data from the parent column. If you want, you can modify the primary and customized configurations of the Generator.

Support for domain integrity

The dbForge Data Generator can be used to check constraints that guarantee the accuracy and consistency of data for a single column or multiple columns in the table. The tool can also disable check constraints to avoid breakages in the logic of databases.

The Check Constraint (auto-assigned) Generator automatically assigns checks to the column. The generator also utilizes an expression called check constraint to restrict the amount of data generated by the column.

Many methods of populating the data

Once you have set the generation options of your project, you can choose how to manage a script for data generation within Data Population Wizard: Data Population Wizard:

• Start the script for data population inside the editor inside the dbForge Data Generator to allow you to alter the script and run it.
• Save the script on the local computer
• Run a script against the database without looking it over

Command-line interface

Using the command-line feature allows you to automate the generation of data by using the Command Prompt, specify the command to generate data and perform the command.

Additionally,, you can schedule repeating tasks for data generation at a scheduled time with this Task Scheduler tool. To plan data generation, you will need to create a .bat file with the dbForge Data Generator, after which you can you can create an task to generate data using the, for instance, Windows Task Scheduler.

Automate the development of databases using the DevOps method.

The Data Generator, which plays one of the most critical functions in the Continuous Integration procedure guarantees continuous and speedier delivery of top-quality software. This tool lets you create random data in various quantities to rapidly test new and enhanced functions without needing actual data on server-side servers.

Once you have configured your Data Generation Project, you can integrate it into Source Control to automate the populating of the database using tests data using on the command line.

SSMS integration

DbForge Data Generator for SQL Server is easily integrated with Microsoft SQL Server Management Studio,, which allows you to complete data generation tasks using the familiar interface.

To begin using Data Generator, in SSMS Object Explorer, click on the database, then select Data Generation > New Data Generation. This opens the Data Generator tool where you can create an entirely new project ,for data generation.

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