SQL Server Data Generator

dbForge Studio for SQL Server features a powerful visual tool allowing you to noticeably save time and effort spent on test data generation. Data Generator will populate your SQL Server tables with thousands of rows of realistic test data in a snap.

When it comes to creating, modifying, or testing database-driven components or applications, it is crucial to analyze their efficiency using a variety of input data and operating conditions. Such analysis helps eliminate development gaps and ensure the reliability and quality of a given application. Thus sooner or later all DBAs, developers, and testers face the necessity of generating SQL test data.

  • Create massive volumes of meaningful, realistic test data in seconds
  • Create, customize, and share generators with your team
  • Schedule and automate data population tasks with the command-line interface
  • Enjoy sensible customization options
  • Write your own generators in Python

Full support of all column data types

The tool supports a massive range of column data types, including:

  • GEORGAPHY
  • GEOMETRY
  • HIERARCHYID
  • DATATIME2
  • DATATIMEOFFSET
Data Generator or SQL Server -  Support for all column data types

Multiple generators with data customization

Individual generators for each supported data type, that allow you to customize:

  • Number of NULL rows
  • Number of empty rows
  • Data uniqueness
  • Value ranges
  • Value distribution mode
SQL Data Generator - generators with data customization

SQL data integrity support

The tool supports foreign keys for the generation of consistent data across multiple tables. It also allows disabling triggers and constraints to avoid interference with database logic.

SQL Server test data generator  -  SQL data integrity support

Multiple ways to populate data

After you've set up the data population project, dbForge Studio for SQL Server generates a data population script that can immediately be executed against a SQL Server database, saved for future use, or opened for editing in the internal editor.

SQL random custom data generator - ways to populate SQL data

Basic generators

Populate tables with various types of values. The tool includes the following generators:

  • Constant
  • Files Folder
  • Foreign Key
  • Lorem Ipsum
  • Regular Expression
  • Shuffled Text
  • SQL Query
  • Table or View
  • Text File
  • Twaddle
  • Weighted Lists
  • Python
SQL test data generator -  Basic generators

Meaningful generators

200+ generators allow populating tables with realistic test data. In particular, the tool can fill your tables with:

  • IDs
  • Post codes
  • Phone numbers
  • Countries
  • Credit card numbers
  • E-mails
  • Social Security Numbers
  • First & Last Names
  • Product Categories
  • and much more!
Test Data Generation Tool - Meaningful generators

User-defined generators

Create, save, and use your own generators that would better meet your needs, instead of wasting time on the customization of the existing generators over and over again.

SQL Data Generation Tool -  User-defined generators

Command-line interface

The Data Generator utility that comes with dbForge Studio for SQL Server supports the command-line interface, thus allowing you to significantly save time by automating and scheduling repetitive routine data generation tasks.

SQL Data Generation utility - Command-line interface

Conclusion

dbForge Studio for SQL Server incorporates a bunch of advanced features for populating SQL Server databases with real-world test data. With the tool, you can generate data with inter-column dependency support, as well as RegExp and Python support, create user-defined data generators, generate JSON data on the basis of templates, and much, much more. Download a trial version of the Studio and get this useful functionality all in one.

dbForge Studio for SQL Server

All-in-One SQL Server GUI Tool

Availability in the editions of dbForge Studio for SQL Server

Feature

Enterprise
Professional
Standard
Express
Data generation with inter-column dependency support
Yes
Yes
None
None
Data Generation with RegExp and Python support
Yes
Yes
None
None
Generate JSON data on the basis of template
Yes
Yes
None
None
Check Constraint generator
Yes
Yes
None
None
Meaningful data generation with 200+ predefined generators
Yes
Yes
None
None
Creation of user-defined data generators
Yes
Yes
None
None
Command-line interface for data generation
Yes
Yes
None
None

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